1 Abstract

Macarron is a workflow to systematically annotate and prioritize potentially bioactive (and often unannotated) small molecules in microbial community metabolomic datasets. Macarron prioritizes metabolic features as potentially bioactive in a phenotype/condition of interest using a combination of (a) covariance with annotated metabolites, (b) ecological properties such as abundance with respect to covarying annotated compounds, and (c) differential abundance in the phenotype/condition of interest.

If you have questions, please direct it to: Macarron Forum

2 Installation

Macarron requires R version 4.2.0 or higher. Install Bioconductor and then install Macarron:

if(!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("Macarron")

3 Running Macarron

Macarron can be run from the command line or as an R function. Both methods require the same arguments, have the same options, and use the same default settings. The package includes the wrapper Macarron() as well as functions which perform different steps in the Macarron framework.

3.1 Input CSV files

Macarron requires 4 comma-separated, appropriately formatted input files. The files and their formatting constraints are described below.

  1. Metabolic features abundances
    • Must contain features in rows and samples in columns.
    • First column must identify features.
  2. Metabolic features annotations
    • Must contain features in rows and annotations in columns.
    • First column must identify features.
    • Second column must contain either HMDB ID or PubChem Compound Identifier (CID).
    • Third column must contain the name of the metabolite.
    • Fourth column must contain a continuous chemical property such as m/z or RT or shift/ppm.
    • Other annotations such as RT, m/z or other identifiers can be listed column 4 onward.
  3. Sample metadata
    • Must contain samples in rows and metadata in columns.
    • First column must identify samples.
    • Second column must contain categorical metadata relevant to prioritization such as phenotypes, exposures or environments.
  4. Chemical taxonomy
    • First column must contain the HMDB ID or PubChem CID. IDs must be consistent between annotation and taxonomy files.
    • Second and third columns must contain chemical subclass and class of the respective metabolite.

If you do not have the chemical taxonomy file, you can generate this file using the annotation dataframe and Macarron utility decorate_ID (see Advanced Topics).

3.2 Output Files

By default, all files will be stored in a folder named Macarron_output inside the current working directory. The main prioritization results are stored in prioritized_metabolites_all.csv. Another file, prioritized_metabolites_characterizable.csv is a subset of prioritized_metabolites_all.csv and only contains metabolic features which covary with at least one annotated metabolite. The columns in these output files are:

  • Feature_index: Lists the identifier of the metabolic feature found in column 1 of abundance and annotation files.
  • HMDB_ID (or PubChem ID): Public database identifier from column 2 of annotation file (column 1 of annotation dataframe).
  • Metabolite name: From column 2 of annotation dataframe.
  • mz: The continuous numerical chemical property from column 3 of the annotation dataframe.
  • Priority_score: 1 indicates most prioritized. It is the percentile from the meta-rank of AVA, q-value and effect size.
  • Status: Direction of perturbation (differential abundance) in the phenotype (or environment) of interest compared to reference phenotype.
  • Module: ID of the covariance module a metabolic feature is a member of. Module = 0 indicates a singleton i.e., a metabolic feature that is not assigned to any module.
  • Anchor (of a module): Metabolic feature that has the highest abundance in any phenotype.
  • Related_classes: Chemical taxonomy of the annotated features that covary with a metabolic feature.
  • Covaries_with_standard: 1 (yes) and 0 (no). Column specifies if the metabolic feature covaries with at least one annotated (standard) metabolite.
  • AVA: Abundance versus anchor which is a ratio of the highest abundance (in any phenotype) of a metabolic feature and highest abundance of the covarying anchor. Naturally, the AVA of an anchor metabolite is 1.
  • qvalue: Estimated from multivariate linear model using Maaslin2.
  • effect_size
  • Remaining columns from the annotation dataframe are appended.

3.3 Run a demo in R

3.3.1 Using CSV files as inputs

Example (demo) input files can be found under inst/extdata folder of the Macarron source. These files were generated from the PRISM study of stool metabolomes of individuals with inflammatory bowel disease (IBD) and healthy “Control” individuals. Control and IBD are the two phenotypes in this example. Macarron will be applied to prioritize metabolic features with respect to their bioactivity in IBD. Therefore, in this example, the phenotype of interest is “IBD” and the reference phenotype is “Control”. The four input files are demo_abundances.csv, demo_annotations.csv, demo_metadata.csv, and demo_taxonomy.csv.

library(Macarron)
## Loading required package: SummarizedExperiment
## Loading required package: MatrixGenerics
## Loading required package: matrixStats
## 
## Attaching package: 'MatrixGenerics'
## The following objects are masked from 'package:matrixStats':
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##     colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats,
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##     rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods,
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##     rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins,
##     rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks,
##     rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars,
##     rowWeightedMads, rowWeightedMeans, rowWeightedMedians,
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## Loading required package: GenomicRanges
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## Attaching package: 'S4Vectors'
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## Loading required package: Biobase
## Welcome to Bioconductor
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prism_abundances <- system.file(
    'extdata','demo_abundances.csv', package="Macarron")
prism_annotations <-system.file(
    'extdata','demo_annotations.csv', package="Macarron")
prism_metadata <-system.file(
    'extdata','demo_metadata.csv', package="Macarron")
mets_taxonomy <-system.file(
    'extdata','demo_taxonomy.csv', package="Macarron")
prism_prioritized <- Macarron::Macarron(input_abundances = prism_abundances,
                                        input_annotations = prism_annotations,
                                        input_metadata = prism_metadata,
                                        input_taxonomy = mets_taxonomy)
## 2025-02-17 19:52:18.941885 INFO::Creating output folder.
## 2025-02-17 19:52:18.965395 INFO::Writing function arguments to log file
## Samples with both abundances and metadata: 102
## 2025-02-17 19:52:19.083537 INFO::Summarized Experiment created.
## 2025-02-17 19:52:19.087374 INFO::Metadata chosen for prevalence filtering: diagnosis
## 869 features pass chosen minimum prevalence threshold of 0.7.
## Calculating pairwise correlations in phenotype: IBD
## 
## Calculating pairwise correlations in phenotype: Control
## Distance matrix with 869 features created.
## 2025-02-17 19:52:24.906195 INFO::Distance matrix with 869 metabolic features created.
## Initiating module detection
## 2025-02-17 19:52:24.908511 INFO::Minimum module size used for this dataset: 10
## Tree constructed
## Evaluating measures of success
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
## 2025-02-17 19:52:27.143398 INFO::Total number of modules detected: 30
## Initiating AVA calculations
## Finding anchors
## Calculating AVA
## Initiating q-value calculations
## [1] "Creating output folder"
## [1] "Creating output feature tables folder"
## [1] "Creating output fits folder"
## [1] "Creating output figures folder"
## 2025-02-17 19:52:30.413936 INFO::Writing function arguments to log file
## 2025-02-17 19:52:30.430515 INFO::Verifying options selected are valid
## 2025-02-17 19:52:30.480036 INFO::Determining format of input files
## 2025-02-17 19:52:30.481827 INFO::Input format is data samples as columns and metadata samples as rows
## 2025-02-17 19:52:30.501834 INFO::Formula for fixed effects: expr ~  diagnosis + age + antibiotics
## 2025-02-17 19:52:30.50422 INFO::Filter data based on min abundance and min prevalence
## 2025-02-17 19:52:30.505697 INFO::Total samples in data: 102
## 2025-02-17 19:52:30.507059 INFO::Min samples required with min abundance for a feature not to be filtered: 0.000000
## 2025-02-17 19:52:30.519238 INFO::Total filtered features: 0
## 2025-02-17 19:52:30.52102 INFO::Filtered feature names from abundance and prevalence filtering:
## 2025-02-17 19:52:30.539998 INFO::Total filtered features with variance filtering: 0
## 2025-02-17 19:52:30.541858 INFO::Filtered feature names from variance filtering:
## 2025-02-17 19:52:30.543274 INFO::Running selected normalization method: NONE
## 2025-02-17 19:52:30.544766 INFO::Applying z-score to standardize continuous metadata
## 2025-02-17 19:52:30.567309 INFO::Running selected transform method: NONE
## 2025-02-17 19:52:30.569111 INFO::Running selected analysis method: LM
## 2025-02-17 19:52:30.577609 INFO::Fitting model to feature number 1, F1
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## 2025-02-17 19:52:31.339497 INFO::Fitting model to feature number 159, F165
## 2025-02-17 19:52:31.34401 INFO::Fitting model to feature number 160, F166
## 2025-02-17 19:52:31.34858 INFO::Fitting model to feature number 161, F167
## 2025-02-17 19:52:31.353138 INFO::Fitting model to feature number 162, F168
## 2025-02-17 19:52:31.390406 INFO::Fitting model to feature number 163, F169
## 2025-02-17 19:52:31.395426 INFO::Fitting model to feature number 164, F170
## 2025-02-17 19:52:31.400028 INFO::Fitting model to feature number 165, F171
## 2025-02-17 19:52:31.404506 INFO::Fitting model to feature number 166, F172
## 2025-02-17 19:52:31.408987 INFO::Fitting model to feature number 167, F173
## 2025-02-17 19:52:31.413401 INFO::Fitting model to feature number 168, F174
## 2025-02-17 19:52:31.417838 INFO::Fitting model to feature number 169, F175
## 2025-02-17 19:52:31.422438 INFO::Fitting model to feature number 170, F176
## 2025-02-17 19:52:31.427012 INFO::Fitting model to feature number 171, F177
## 2025-02-17 19:52:31.431497 INFO::Fitting model to feature number 172, F178
## 2025-02-17 19:52:31.436513 INFO::Fitting model to feature number 173, F179
## 2025-02-17 19:52:31.441248 INFO::Fitting model to feature number 174, F180
## 2025-02-17 19:52:31.445845 INFO::Fitting model to feature number 175, F181
## 2025-02-17 19:52:31.450428 INFO::Fitting model to feature number 176, F182
## 2025-02-17 19:52:31.455382 INFO::Fitting model to feature number 177, F183
## 2025-02-17 19:52:31.460183 INFO::Fitting model to feature number 178, F184
## 2025-02-17 19:52:31.466289 INFO::Fitting model to feature number 179, F185
## 2025-02-17 19:52:31.471022 INFO::Fitting model to feature number 180, F186
## 2025-02-17 19:52:31.475582 INFO::Fitting model to feature number 181, F187
## 2025-02-17 19:52:31.480216 INFO::Fitting model to feature number 182, F188
## 2025-02-17 19:52:31.484616 INFO::Fitting model to feature number 183, F189
## 2025-02-17 19:52:31.489095 INFO::Fitting model to feature number 184, F190
## 2025-02-17 19:52:31.493486 INFO::Fitting model to feature number 185, F191
## 2025-02-17 19:52:31.498093 INFO::Fitting model to feature number 186, F192
## 2025-02-17 19:52:31.502609 INFO::Fitting model to feature number 187, F193
## 2025-02-17 19:52:31.507097 INFO::Fitting model to feature number 188, F194
## 2025-02-17 19:52:31.511777 INFO::Fitting model to feature number 189, F195
## 2025-02-17 19:52:31.516514 INFO::Fitting model to feature number 190, F196
## 2025-02-17 19:52:31.521165 INFO::Fitting model to feature number 191, F197
## 2025-02-17 19:52:31.526163 INFO::Fitting model to feature number 192, F198
## 2025-02-17 19:52:31.532058 INFO::Fitting model to feature number 193, F199
## 2025-02-17 19:52:31.537012 INFO::Fitting model to feature number 194, F200
## 2025-02-17 19:52:31.541556 INFO::Fitting model to feature number 195, F201
## 2025-02-17 19:52:31.546088 INFO::Fitting model to feature number 196, F202
## 2025-02-17 19:52:31.550542 INFO::Fitting model to feature number 197, F203
## 2025-02-17 19:52:31.554883 INFO::Fitting model to feature number 198, F204
## 2025-02-17 19:52:31.55938 INFO::Fitting model to feature number 199, F206
## 2025-02-17 19:52:31.563759 INFO::Fitting model to feature number 200, F207
## 2025-02-17 19:52:31.568155 INFO::Fitting model to feature number 201, F208
## 2025-02-17 19:52:31.572493 INFO::Fitting model to feature number 202, F209
## 2025-02-17 19:52:31.576852 INFO::Fitting model to feature number 203, F210
## 2025-02-17 19:52:31.581162 INFO::Fitting model to feature number 204, F211
## 2025-02-17 19:52:31.585451 INFO::Fitting model to feature number 205, F212
## 2025-02-17 19:52:31.589766 INFO::Fitting model to feature number 206, F213
## 2025-02-17 19:52:31.59401 INFO::Fitting model to feature number 207, F214
## 2025-02-17 19:52:31.598251 INFO::Fitting model to feature number 208, F215
## 2025-02-17 19:52:31.602553 INFO::Fitting model to feature number 209, F216
## 2025-02-17 19:52:31.607393 INFO::Fitting model to feature number 210, F217
## 2025-02-17 19:52:31.61344 INFO::Fitting model to feature number 211, F218
## 2025-02-17 19:52:31.61942 INFO::Fitting model to feature number 212, F219
## 2025-02-17 19:52:31.624053 INFO::Fitting model to feature number 213, F220
## 2025-02-17 19:52:31.628586 INFO::Fitting model to feature number 214, F221
## 2025-02-17 19:52:31.633142 INFO::Fitting model to feature number 215, F222
## 2025-02-17 19:52:31.637728 INFO::Fitting model to feature number 216, F223
## 2025-02-17 19:52:31.642259 INFO::Fitting model to feature number 217, F224
## 2025-02-17 19:52:31.648813 INFO::Fitting model to feature number 218, F225
## 2025-02-17 19:52:31.656654 INFO::Fitting model to feature number 219, F226
## 2025-02-17 19:52:31.662241 INFO::Fitting model to feature number 220, F227
## 2025-02-17 19:52:31.666924 INFO::Fitting model to feature number 221, F228
## 2025-02-17 19:52:31.671492 INFO::Fitting model to feature number 222, F229
## 2025-02-17 19:52:31.676041 INFO::Fitting model to feature number 223, F230
## 2025-02-17 19:52:31.680778 INFO::Fitting model to feature number 224, F231
## 2025-02-17 19:52:31.685469 INFO::Fitting model to feature number 225, F232
## 2025-02-17 19:52:31.690192 INFO::Fitting model to feature number 226, F233
## 2025-02-17 19:52:31.694831 INFO::Fitting model to feature number 227, F234
## 2025-02-17 19:52:31.699522 INFO::Fitting model to feature number 228, F235
## 2025-02-17 19:52:31.704233 INFO::Fitting model to feature number 229, F236
## 2025-02-17 19:52:31.708967 INFO::Fitting model to feature number 230, F237
## 2025-02-17 19:52:31.713681 INFO::Fitting model to feature number 231, F238
## 2025-02-17 19:52:31.718466 INFO::Fitting model to feature number 232, F239
## 2025-02-17 19:52:31.723114 INFO::Fitting model to feature number 233, F240
## 2025-02-17 19:52:31.727648 INFO::Fitting model to feature number 234, F241
## 2025-02-17 19:52:31.732177 INFO::Fitting model to feature number 235, F242
## 2025-02-17 19:52:31.736866 INFO::Fitting model to feature number 236, F243
## 2025-02-17 19:52:31.741694 INFO::Fitting model to feature number 237, F244
## 2025-02-17 19:52:31.746265 INFO::Fitting model to feature number 238, F245
## 2025-02-17 19:52:31.75081 INFO::Fitting model to feature number 239, F246
## 2025-02-17 19:52:31.755378 INFO::Fitting model to feature number 240, F247
## 2025-02-17 19:52:31.759936 INFO::Fitting model to feature number 241, F248
## 2025-02-17 19:52:31.764443 INFO::Fitting model to feature number 242, F249
## 2025-02-17 19:52:31.76895 INFO::Fitting model to feature number 243, F250
## 2025-02-17 19:52:31.773426 INFO::Fitting model to feature number 244, F252
## 2025-02-17 19:52:31.777882 INFO::Fitting model to feature number 245, F253
## 2025-02-17 19:52:31.782282 INFO::Fitting model to feature number 246, F254
## 2025-02-17 19:52:31.786739 INFO::Fitting model to feature number 247, F255
## 2025-02-17 19:52:31.791163 INFO::Fitting model to feature number 248, F256
## 2025-02-17 19:52:31.795626 INFO::Fitting model to feature number 249, F257
## 2025-02-17 19:52:31.799948 INFO::Fitting model to feature number 250, F259
## 2025-02-17 19:52:31.804279 INFO::Fitting model to feature number 251, F260
## 2025-02-17 19:52:31.808651 INFO::Fitting model to feature number 252, F261
## 2025-02-17 19:52:31.81318 INFO::Fitting model to feature number 253, F262
## 2025-02-17 19:52:31.81774 INFO::Fitting model to feature number 254, F263
## 2025-02-17 19:52:31.822281 INFO::Fitting model to feature number 255, F264
## 2025-02-17 19:52:31.826829 INFO::Fitting model to feature number 256, F265
## 2025-02-17 19:52:31.831256 INFO::Fitting model to feature number 257, F266
## 2025-02-17 19:52:31.835673 INFO::Fitting model to feature number 258, F267
## 2025-02-17 19:52:31.840132 INFO::Fitting model to feature number 259, F269
## 2025-02-17 19:52:31.844527 INFO::Fitting model to feature number 260, F270
## 2025-02-17 19:52:31.848987 INFO::Fitting model to feature number 261, F271
## 2025-02-17 19:52:31.853507 INFO::Fitting model to feature number 262, F272
## 2025-02-17 19:52:31.858146 INFO::Fitting model to feature number 263, F273
## 2025-02-17 19:52:31.862675 INFO::Fitting model to feature number 264, F274
## 2025-02-17 19:52:31.867144 INFO::Fitting model to feature number 265, F276
## 2025-02-17 19:52:31.871572 INFO::Fitting model to feature number 266, F277
## 2025-02-17 19:52:31.875958 INFO::Fitting model to feature number 267, F278
## 2025-02-17 19:52:31.880385 INFO::Fitting model to feature number 268, F279
## 2025-02-17 19:52:31.884808 INFO::Fitting model to feature number 269, F280
## 2025-02-17 19:52:31.889268 INFO::Fitting model to feature number 270, F281
## 2025-02-17 19:52:31.893847 INFO::Fitting model to feature number 271, F282
## 2025-02-17 19:52:31.898346 INFO::Fitting model to feature number 272, F283
## 2025-02-17 19:52:31.902929 INFO::Fitting model to feature number 273, F284
## 2025-02-17 19:52:31.907523 INFO::Fitting model to feature number 274, F285
## 2025-02-17 19:52:31.912224 INFO::Fitting model to feature number 275, F286
## 2025-02-17 19:52:31.916873 INFO::Fitting model to feature number 276, F287
## 2025-02-17 19:52:31.921623 INFO::Fitting model to feature number 277, F288
## 2025-02-17 19:52:31.92616 INFO::Fitting model to feature number 278, F289
## 2025-02-17 19:52:31.930707 INFO::Fitting model to feature number 279, F290
## 2025-02-17 19:52:31.935345 INFO::Fitting model to feature number 280, F292
## 2025-02-17 19:52:31.939943 INFO::Fitting model to feature number 281, F293
## 2025-02-17 19:52:31.944478 INFO::Fitting model to feature number 282, F294
## 2025-02-17 19:52:31.949048 INFO::Fitting model to feature number 283, F295
## 2025-02-17 19:52:31.953598 INFO::Fitting model to feature number 284, F296
## 2025-02-17 19:52:31.958089 INFO::Fitting model to feature number 285, F297
## 2025-02-17 19:52:31.962573 INFO::Fitting model to feature number 286, F298
## 2025-02-17 19:52:31.967123 INFO::Fitting model to feature number 287, F299
## 2025-02-17 19:52:31.971648 INFO::Fitting model to feature number 288, F300
## 2025-02-17 19:52:31.976065 INFO::Fitting model to feature number 289, F301
## 2025-02-17 19:52:31.980514 INFO::Fitting model to feature number 290, F302
## 2025-02-17 19:52:31.985078 INFO::Fitting model to feature number 291, F303
## 2025-02-17 19:52:31.989527 INFO::Fitting model to feature number 292, F304
## 2025-02-17 19:52:31.994071 INFO::Fitting model to feature number 293, F305
## 2025-02-17 19:52:31.998664 INFO::Fitting model to feature number 294, F306
## 2025-02-17 19:52:32.003175 INFO::Fitting model to feature number 295, F307
## 2025-02-17 19:52:32.007624 INFO::Fitting model to feature number 296, F308
## 2025-02-17 19:52:32.0121 INFO::Fitting model to feature number 297, F309
## 2025-02-17 19:52:32.016543 INFO::Fitting model to feature number 298, F310
## 2025-02-17 19:52:32.020983 INFO::Fitting model to feature number 299, F311
## 2025-02-17 19:52:32.025288 INFO::Fitting model to feature number 300, F312
## 2025-02-17 19:52:32.029713 INFO::Fitting model to feature number 301, F313
## 2025-02-17 19:52:32.034065 INFO::Fitting model to feature number 302, F315
## 2025-02-17 19:52:32.038381 INFO::Fitting model to feature number 303, F316
## 2025-02-17 19:52:32.042694 INFO::Fitting model to feature number 304, F317
## 2025-02-17 19:52:32.046979 INFO::Fitting model to feature number 305, F318
## 2025-02-17 19:52:32.051277 INFO::Fitting model to feature number 306, F319
## 2025-02-17 19:52:32.055727 INFO::Fitting model to feature number 307, F320
## 2025-02-17 19:52:32.060216 INFO::Fitting model to feature number 308, F321
## 2025-02-17 19:52:32.064758 INFO::Fitting model to feature number 309, F322
## 2025-02-17 19:52:32.069225 INFO::Fitting model to feature number 310, F323
## 2025-02-17 19:52:32.073685 INFO::Fitting model to feature number 311, F324
## 2025-02-17 19:52:32.078172 INFO::Fitting model to feature number 312, F325
## 2025-02-17 19:52:32.082612 INFO::Fitting model to feature number 313, F326
## 2025-02-17 19:52:32.087147 INFO::Fitting model to feature number 314, F327
## 2025-02-17 19:52:32.091649 INFO::Fitting model to feature number 315, F328
## 2025-02-17 19:52:32.096176 INFO::Fitting model to feature number 316, F329
## 2025-02-17 19:52:32.100691 INFO::Fitting model to feature number 317, F330
## 2025-02-17 19:52:32.105241 INFO::Fitting model to feature number 318, F331
## 2025-02-17 19:52:32.109819 INFO::Fitting model to feature number 319, F332
## 2025-02-17 19:52:32.11442 INFO::Fitting model to feature number 320, F333
## 2025-02-17 19:52:32.119103 INFO::Fitting model to feature number 321, F334
## 2025-02-17 19:52:32.123786 INFO::Fitting model to feature number 322, F335
## 2025-02-17 19:52:32.12841 INFO::Fitting model to feature number 323, F336
## 2025-02-17 19:52:32.132972 INFO::Fitting model to feature number 324, F337
## 2025-02-17 19:52:32.13763 INFO::Fitting model to feature number 325, F338
## 2025-02-17 19:52:32.142273 INFO::Fitting model to feature number 326, F339
## 2025-02-17 19:52:32.147132 INFO::Fitting model to feature number 327, F340
## 2025-02-17 19:52:32.151756 INFO::Fitting model to feature number 328, F342
## 2025-02-17 19:52:32.156409 INFO::Fitting model to feature number 329, F343
## 2025-02-17 19:52:32.161104 INFO::Fitting model to feature number 330, F344
## 2025-02-17 19:52:32.165752 INFO::Fitting model to feature number 331, F345
## 2025-02-17 19:52:32.170559 INFO::Fitting model to feature number 332, F346
## 2025-02-17 19:52:32.175411 INFO::Fitting model to feature number 333, F347
## 2025-02-17 19:52:32.180335 INFO::Fitting model to feature number 334, F348
## 2025-02-17 19:52:32.185589 INFO::Fitting model to feature number 335, F350
## 2025-02-17 19:52:32.19374 INFO::Fitting model to feature number 336, F351
## 2025-02-17 19:52:32.201703 INFO::Fitting model to feature number 337, F352
## 2025-02-17 19:52:32.209731 INFO::Fitting model to feature number 338, F353
## 2025-02-17 19:52:32.217556 INFO::Fitting model to feature number 339, F355
## 2025-02-17 19:52:32.225931 INFO::Fitting model to feature number 340, F356
## 2025-02-17 19:52:32.233581 INFO::Fitting model to feature number 341, F357
## 2025-02-17 19:52:32.241298 INFO::Fitting model to feature number 342, F358
## 2025-02-17 19:52:32.248905 INFO::Fitting model to feature number 343, F359
## 2025-02-17 19:52:32.256335 INFO::Fitting model to feature number 344, F360
## 2025-02-17 19:52:32.263884 INFO::Fitting model to feature number 345, F361
## 2025-02-17 19:52:32.271461 INFO::Fitting model to feature number 346, F362
## 2025-02-17 19:52:32.27911 INFO::Fitting model to feature number 347, F363
## 2025-02-17 19:52:32.286477 INFO::Fitting model to feature number 348, F364
## 2025-02-17 19:52:32.294379 INFO::Fitting model to feature number 349, F365
## 2025-02-17 19:52:32.302409 INFO::Fitting model to feature number 350, F366
## 2025-02-17 19:52:32.310002 INFO::Fitting model to feature number 351, F367
## 2025-02-17 19:52:32.318205 INFO::Fitting model to feature number 352, F368
## 2025-02-17 19:52:32.325779 INFO::Fitting model to feature number 353, F369
## 2025-02-17 19:52:32.333198 INFO::Fitting model to feature number 354, F370
## 2025-02-17 19:52:32.34089 INFO::Fitting model to feature number 355, F371
## 2025-02-17 19:52:32.348285 INFO::Fitting model to feature number 356, F372
## 2025-02-17 19:52:32.353972 INFO::Fitting model to feature number 357, F373
## 2025-02-17 19:52:32.359662 INFO::Fitting model to feature number 358, F374
## 2025-02-17 19:52:32.365005 INFO::Fitting model to feature number 359, F375
## 2025-02-17 19:52:32.370156 INFO::Fitting model to feature number 360, F376
## 2025-02-17 19:52:32.375514 INFO::Fitting model to feature number 361, F377
## 2025-02-17 19:52:32.380486 INFO::Fitting model to feature number 362, F378
## 2025-02-17 19:52:32.385455 INFO::Fitting model to feature number 363, F379
## 2025-02-17 19:52:32.390178 INFO::Fitting model to feature number 364, F380
## 2025-02-17 19:52:32.394828 INFO::Fitting model to feature number 365, F381
## 2025-02-17 19:52:32.399395 INFO::Fitting model to feature number 366, F382
## 2025-02-17 19:52:32.404003 INFO::Fitting model to feature number 367, F383
## 2025-02-17 19:52:32.40869 INFO::Fitting model to feature number 368, F384
## 2025-02-17 19:52:32.413376 INFO::Fitting model to feature number 369, F386
## 2025-02-17 19:52:32.418102 INFO::Fitting model to feature number 370, F387
## 2025-02-17 19:52:32.422776 INFO::Fitting model to feature number 371, F388
## 2025-02-17 19:52:32.427513 INFO::Fitting model to feature number 372, F389
## 2025-02-17 19:52:32.432296 INFO::Fitting model to feature number 373, F390
## 2025-02-17 19:52:32.437044 INFO::Fitting model to feature number 374, F391
## 2025-02-17 19:52:32.441755 INFO::Fitting model to feature number 375, F392
## 2025-02-17 19:52:32.448262 INFO::Fitting model to feature number 376, F393
## 2025-02-17 19:52:32.455755 INFO::Fitting model to feature number 377, F394
## 2025-02-17 19:52:32.461587 INFO::Fitting model to feature number 378, F395
## 2025-02-17 19:52:32.466449 INFO::Fitting model to feature number 379, F396
## 2025-02-17 19:52:32.471215 INFO::Fitting model to feature number 380, F397
## 2025-02-17 19:52:32.475976 INFO::Fitting model to feature number 381, F398
## 2025-02-17 19:52:32.480718 INFO::Fitting model to feature number 382, F399
## 2025-02-17 19:52:32.485618 INFO::Fitting model to feature number 383, F400
## 2025-02-17 19:52:32.490248 INFO::Fitting model to feature number 384, F401
## 2025-02-17 19:52:32.494859 INFO::Fitting model to feature number 385, F402
## 2025-02-17 19:52:32.499466 INFO::Fitting model to feature number 386, F403
## 2025-02-17 19:52:32.504002 INFO::Fitting model to feature number 387, F404
## 2025-02-17 19:52:32.510574 INFO::Fitting model to feature number 388, F406
## 2025-02-17 19:52:32.51853 INFO::Fitting model to feature number 389, F407
## 2025-02-17 19:52:32.525809 INFO::Fitting model to feature number 390, F408
## 2025-02-17 19:52:32.532541 INFO::Fitting model to feature number 391, F409
## 2025-02-17 19:52:32.539155 INFO::Fitting model to feature number 392, F410
## 2025-02-17 19:52:32.543978 INFO::Fitting model to feature number 393, F411
## 2025-02-17 19:52:32.548676 INFO::Fitting model to feature number 394, F412
## 2025-02-17 19:52:32.553367 INFO::Fitting model to feature number 395, F413
## 2025-02-17 19:52:32.55803 INFO::Fitting model to feature number 396, F414
## 2025-02-17 19:52:32.562669 INFO::Fitting model to feature number 397, F415
## 2025-02-17 19:52:32.56733 INFO::Fitting model to feature number 398, F416
## 2025-02-17 19:52:32.571956 INFO::Fitting model to feature number 399, F417
## 2025-02-17 19:52:32.576657 INFO::Fitting model to feature number 400, F418
## 2025-02-17 19:52:32.581232 INFO::Fitting model to feature number 401, F419
## 2025-02-17 19:52:32.58587 INFO::Fitting model to feature number 402, F420
## 2025-02-17 19:52:32.590501 INFO::Fitting model to feature number 403, F421
## 2025-02-17 19:52:32.595038 INFO::Fitting model to feature number 404, F422
## 2025-02-17 19:52:32.599549 INFO::Fitting model to feature number 405, F423
## 2025-02-17 19:52:32.606072 INFO::Fitting model to feature number 406, F425
## 2025-02-17 19:52:32.613778 INFO::Fitting model to feature number 407, F426
## 2025-02-17 19:52:32.620963 INFO::Fitting model to feature number 408, F428
## 2025-02-17 19:52:32.625982 INFO::Fitting model to feature number 409, F429
## 2025-02-17 19:52:32.630914 INFO::Fitting model to feature number 410, F430
## 2025-02-17 19:52:32.635646 INFO::Fitting model to feature number 411, F431
## 2025-02-17 19:52:32.640449 INFO::Fitting model to feature number 412, F432
## 2025-02-17 19:52:32.645162 INFO::Fitting model to feature number 413, F433
## 2025-02-17 19:52:32.649948 INFO::Fitting model to feature number 414, F434
## 2025-02-17 19:52:32.654716 INFO::Fitting model to feature number 415, F435
## 2025-02-17 19:52:32.659363 INFO::Fitting model to feature number 416, F436
## 2025-02-17 19:52:32.664114 INFO::Fitting model to feature number 417, F437
## 2025-02-17 19:52:32.668928 INFO::Fitting model to feature number 418, F438
## 2025-02-17 19:52:32.673697 INFO::Fitting model to feature number 419, F439
## 2025-02-17 19:52:32.678476 INFO::Fitting model to feature number 420, F440
## 2025-02-17 19:52:32.683286 INFO::Fitting model to feature number 421, F441
## 2025-02-17 19:52:32.688174 INFO::Fitting model to feature number 422, F442
## 2025-02-17 19:52:32.692968 INFO::Fitting model to feature number 423, F443
## 2025-02-17 19:52:32.697815 INFO::Fitting model to feature number 424, F444
## 2025-02-17 19:52:32.702681 INFO::Fitting model to feature number 425, F445
## 2025-02-17 19:52:32.707511 INFO::Fitting model to feature number 426, F446
## 2025-02-17 19:52:32.714182 INFO::Fitting model to feature number 427, F447
## 2025-02-17 19:52:32.722174 INFO::Fitting model to feature number 428, F448
## 2025-02-17 19:52:32.729929 INFO::Fitting model to feature number 429, F449
## 2025-02-17 19:52:32.737698 INFO::Fitting model to feature number 430, F450
## 2025-02-17 19:52:32.745178 INFO::Fitting model to feature number 431, F451
## 2025-02-17 19:52:32.752781 INFO::Fitting model to feature number 432, F452
## 2025-02-17 19:52:32.760275 INFO::Fitting model to feature number 433, F454
## 2025-02-17 19:52:32.767813 INFO::Fitting model to feature number 434, F455
## 2025-02-17 19:52:32.773312 INFO::Fitting model to feature number 435, F456
## 2025-02-17 19:52:32.778307 INFO::Fitting model to feature number 436, F457
## 2025-02-17 19:52:32.783162 INFO::Fitting model to feature number 437, F458
## 2025-02-17 19:52:32.787927 INFO::Fitting model to feature number 438, F459
## 2025-02-17 19:52:32.792688 INFO::Fitting model to feature number 439, F461
## 2025-02-17 19:52:32.79749 INFO::Fitting model to feature number 440, F462
## 2025-02-17 19:52:32.802561 INFO::Fitting model to feature number 441, F463
## 2025-02-17 19:52:32.807581 INFO::Fitting model to feature number 442, F464
## 2025-02-17 19:52:32.81256 INFO::Fitting model to feature number 443, F465
## 2025-02-17 19:52:32.817467 INFO::Fitting model to feature number 444, F466
## 2025-02-17 19:52:32.82274 INFO::Fitting model to feature number 445, F467
## 2025-02-17 19:52:32.830436 INFO::Fitting model to feature number 446, F468
## 2025-02-17 19:52:32.838024 INFO::Fitting model to feature number 447, F469
## 2025-02-17 19:52:32.843161 INFO::Fitting model to feature number 448, F470
## 2025-02-17 19:52:32.848218 INFO::Fitting model to feature number 449, F471
## 2025-02-17 19:52:32.853157 INFO::Fitting model to feature number 450, F474
## 2025-02-17 19:52:32.881539 INFO::Fitting model to feature number 451, F475
## 2025-02-17 19:52:32.887219 INFO::Fitting model to feature number 452, F476
## 2025-02-17 19:52:32.892039 INFO::Fitting model to feature number 453, F477
## 2025-02-17 19:52:32.896762 INFO::Fitting model to feature number 454, F478
## 2025-02-17 19:52:32.901411 INFO::Fitting model to feature number 455, F479
## 2025-02-17 19:52:32.906059 INFO::Fitting model to feature number 456, F480
## 2025-02-17 19:52:32.910646 INFO::Fitting model to feature number 457, F481
## 2025-02-17 19:52:32.915491 INFO::Fitting model to feature number 458, F482
## 2025-02-17 19:52:32.920477 INFO::Fitting model to feature number 459, F483
## 2025-02-17 19:52:32.925281 INFO::Fitting model to feature number 460, F484
## 2025-02-17 19:52:32.929812 INFO::Fitting model to feature number 461, F485
## 2025-02-17 19:52:32.934394 INFO::Fitting model to feature number 462, F486
## 2025-02-17 19:52:32.939814 INFO::Fitting model to feature number 463, F487
## 2025-02-17 19:52:32.944289 INFO::Fitting model to feature number 464, F488
## 2025-02-17 19:52:32.948797 INFO::Fitting model to feature number 465, F489
## 2025-02-17 19:52:32.953845 INFO::Fitting model to feature number 466, F490
## 2025-02-17 19:52:32.958399 INFO::Fitting model to feature number 467, F491
## 2025-02-17 19:52:32.962822 INFO::Fitting model to feature number 468, F492
## 2025-02-17 19:52:32.9673 INFO::Fitting model to feature number 469, F493
## 2025-02-17 19:52:32.971807 INFO::Fitting model to feature number 470, F494
## 2025-02-17 19:52:32.976372 INFO::Fitting model to feature number 471, F495
## 2025-02-17 19:52:32.981067 INFO::Fitting model to feature number 472, F496
## 2025-02-17 19:52:32.985704 INFO::Fitting model to feature number 473, F497
## 2025-02-17 19:52:32.990294 INFO::Fitting model to feature number 474, F498
## 2025-02-17 19:52:32.994758 INFO::Fitting model to feature number 475, F499
## 2025-02-17 19:52:32.999528 INFO::Fitting model to feature number 476, F500
## 2025-02-17 19:52:33.004938 INFO::Fitting model to feature number 477, F501
## 2025-02-17 19:52:33.010383 INFO::Fitting model to feature number 478, F502
## 2025-02-17 19:52:33.016019 INFO::Fitting model to feature number 479, F503
## 2025-02-17 19:52:33.023166 INFO::Fitting model to feature number 480, F504
## 2025-02-17 19:52:33.030527 INFO::Fitting model to feature number 481, F505
## 2025-02-17 19:52:33.035276 INFO::Fitting model to feature number 482, F506
## 2025-02-17 19:52:33.039961 INFO::Fitting model to feature number 483, F507
## 2025-02-17 19:52:33.044865 INFO::Fitting model to feature number 484, F508
## 2025-02-17 19:52:33.049952 INFO::Fitting model to feature number 485, F509
## 2025-02-17 19:52:33.055769 INFO::Fitting model to feature number 486, F510
## 2025-02-17 19:52:33.061847 INFO::Fitting model to feature number 487, F511
## 2025-02-17 19:52:33.068881 INFO::Fitting model to feature number 488, F512
## 2025-02-17 19:52:33.073584 INFO::Fitting model to feature number 489, F513
## 2025-02-17 19:52:33.078361 INFO::Fitting model to feature number 490, F514
## 2025-02-17 19:52:33.083199 INFO::Fitting model to feature number 491, F515
## 2025-02-17 19:52:33.087978 INFO::Fitting model to feature number 492, F516
## 2025-02-17 19:52:33.095019 INFO::Fitting model to feature number 493, F517
## 2025-02-17 19:52:33.102142 INFO::Fitting model to feature number 494, F518
## 2025-02-17 19:52:33.109454 INFO::Fitting model to feature number 495, F519
## 2025-02-17 19:52:33.116702 INFO::Fitting model to feature number 496, F520
## 2025-02-17 19:52:33.124115 INFO::Fitting model to feature number 497, F521
## 2025-02-17 19:52:33.131386 INFO::Fitting model to feature number 498, F522
## 2025-02-17 19:52:33.137192 INFO::Fitting model to feature number 499, F523
## 2025-02-17 19:52:33.143072 INFO::Fitting model to feature number 500, F524
## 2025-02-17 19:52:33.147934 INFO::Fitting model to feature number 501, F525
## 2025-02-17 19:52:33.154735 INFO::Fitting model to feature number 502, F526
## 2025-02-17 19:52:33.161865 INFO::Fitting model to feature number 503, F527
## 2025-02-17 19:52:33.169347 INFO::Fitting model to feature number 504, F528
## 2025-02-17 19:52:33.17655 INFO::Fitting model to feature number 505, F529
## 2025-02-17 19:52:33.183745 INFO::Fitting model to feature number 506, F530
## 2025-02-17 19:52:33.190963 INFO::Fitting model to feature number 507, F531
## 2025-02-17 19:52:33.19805 INFO::Fitting model to feature number 508, F532
## 2025-02-17 19:52:33.205309 INFO::Fitting model to feature number 509, F533
## 2025-02-17 19:52:33.212469 INFO::Fitting model to feature number 510, F534
## 2025-02-17 19:52:33.219946 INFO::Fitting model to feature number 511, F535
## 2025-02-17 19:52:33.227361 INFO::Fitting model to feature number 512, F536
## 2025-02-17 19:52:33.233039 INFO::Fitting model to feature number 513, F537
## 2025-02-17 19:52:33.237888 INFO::Fitting model to feature number 514, F539
## 2025-02-17 19:52:33.242378 INFO::Fitting model to feature number 515, F540
## 2025-02-17 19:52:33.247005 INFO::Fitting model to feature number 516, F541
## 2025-02-17 19:52:33.2529 INFO::Fitting model to feature number 517, F543
## 2025-02-17 19:52:33.25916 INFO::Fitting model to feature number 518, F544
## 2025-02-17 19:52:33.270311 INFO::Fitting model to feature number 519, F545
## 2025-02-17 19:52:33.276578 INFO::Fitting model to feature number 520, F546
## 2025-02-17 19:52:33.283034 INFO::Fitting model to feature number 521, F547
## 2025-02-17 19:52:33.289389 INFO::Fitting model to feature number 522, F548
## 2025-02-17 19:52:33.295769 INFO::Fitting model to feature number 523, F549
## 2025-02-17 19:52:33.302098 INFO::Fitting model to feature number 524, F550
## 2025-02-17 19:52:33.308646 INFO::Fitting model to feature number 525, F551
## 2025-02-17 19:52:33.315032 INFO::Fitting model to feature number 526, F552
## 2025-02-17 19:52:33.321418 INFO::Fitting model to feature number 527, F553
## 2025-02-17 19:52:33.327928 INFO::Fitting model to feature number 528, F554
## 2025-02-17 19:52:33.334528 INFO::Fitting model to feature number 529, F555
## 2025-02-17 19:52:33.341032 INFO::Fitting model to feature number 530, F556
## 2025-02-17 19:52:33.346085 INFO::Fitting model to feature number 531, F557
## 2025-02-17 19:52:33.350521 INFO::Fitting model to feature number 532, F558
## 2025-02-17 19:52:33.354803 INFO::Fitting model to feature number 533, F559
## 2025-02-17 19:52:33.359203 INFO::Fitting model to feature number 534, F560
## 2025-02-17 19:52:33.363515 INFO::Fitting model to feature number 535, F561
## 2025-02-17 19:52:33.368028 INFO::Fitting model to feature number 536, F562
## 2025-02-17 19:52:33.372288 INFO::Fitting model to feature number 537, F563
## 2025-02-17 19:52:33.376748 INFO::Fitting model to feature number 538, F564
## 2025-02-17 19:52:33.38098 INFO::Fitting model to feature number 539, F566
## 2025-02-17 19:52:33.385213 INFO::Fitting model to feature number 540, F567
## 2025-02-17 19:52:33.38958 INFO::Fitting model to feature number 541, F568
## 2025-02-17 19:52:33.393841 INFO::Fitting model to feature number 542, F569
## 2025-02-17 19:52:33.398537 INFO::Fitting model to feature number 543, F570
## 2025-02-17 19:52:33.402817 INFO::Fitting model to feature number 544, F571
## 2025-02-17 19:52:33.406969 INFO::Fitting model to feature number 545, F572
## 2025-02-17 19:52:33.411356 INFO::Fitting model to feature number 546, F573
## 2025-02-17 19:52:33.415509 INFO::Fitting model to feature number 547, F574
## 2025-02-17 19:52:33.420864 INFO::Fitting model to feature number 548, F575
## 2025-02-17 19:52:33.425607 INFO::Fitting model to feature number 549, F576
## 2025-02-17 19:52:33.430013 INFO::Fitting model to feature number 550, F577
## 2025-02-17 19:52:33.434841 INFO::Fitting model to feature number 551, F578
## 2025-02-17 19:52:33.439198 INFO::Fitting model to feature number 552, F579
## 2025-02-17 19:52:33.443558 INFO::Fitting model to feature number 553, F580
## 2025-02-17 19:52:33.448751 INFO::Fitting model to feature number 554, F581
## 2025-02-17 19:52:33.453897 INFO::Fitting model to feature number 555, F582
## 2025-02-17 19:52:33.458367 INFO::Fitting model to feature number 556, F583
## 2025-02-17 19:52:33.463277 INFO::Fitting model to feature number 557, F584
## 2025-02-17 19:52:33.467764 INFO::Fitting model to feature number 558, F585
## 2025-02-17 19:52:33.472176 INFO::Fitting model to feature number 559, F586
## 2025-02-17 19:52:33.476552 INFO::Fitting model to feature number 560, F587
## 2025-02-17 19:52:33.482538 INFO::Fitting model to feature number 561, F588
## 2025-02-17 19:52:33.486965 INFO::Fitting model to feature number 562, F589
## 2025-02-17 19:52:33.491355 INFO::Fitting model to feature number 563, F590
## 2025-02-17 19:52:33.495704 INFO::Fitting model to feature number 564, F591
## 2025-02-17 19:52:33.500062 INFO::Fitting model to feature number 565, F592
## 2025-02-17 19:52:33.504312 INFO::Fitting model to feature number 566, F593
## 2025-02-17 19:52:33.508547 INFO::Fitting model to feature number 567, F594
## 2025-02-17 19:52:33.513546 INFO::Fitting model to feature number 568, F595
## 2025-02-17 19:52:33.518515 INFO::Fitting model to feature number 569, F596
## 2025-02-17 19:52:33.522879 INFO::Fitting model to feature number 570, F597
## 2025-02-17 19:52:33.527295 INFO::Fitting model to feature number 571, F598
## 2025-02-17 19:52:33.531789 INFO::Fitting model to feature number 572, F599
## 2025-02-17 19:52:33.536259 INFO::Fitting model to feature number 573, F600
## 2025-02-17 19:52:33.540593 INFO::Fitting model to feature number 574, F601
## 2025-02-17 19:52:33.545004 INFO::Fitting model to feature number 575, F602
## 2025-02-17 19:52:33.54933 INFO::Fitting model to feature number 576, F603
## 2025-02-17 19:52:33.553629 INFO::Fitting model to feature number 577, F605
## 2025-02-17 19:52:33.557955 INFO::Fitting model to feature number 578, F606
## 2025-02-17 19:52:33.562329 INFO::Fitting model to feature number 579, F607
## 2025-02-17 19:52:33.566575 INFO::Fitting model to feature number 580, F608
## 2025-02-17 19:52:33.570798 INFO::Fitting model to feature number 581, F609
## 2025-02-17 19:52:33.57499 INFO::Fitting model to feature number 582, F610
## 2025-02-17 19:52:33.57928 INFO::Fitting model to feature number 583, F611
## 2025-02-17 19:52:33.583593 INFO::Fitting model to feature number 584, F612
## 2025-02-17 19:52:33.587926 INFO::Fitting model to feature number 585, F613
## 2025-02-17 19:52:33.592302 INFO::Fitting model to feature number 586, F614
## 2025-02-17 19:52:33.596614 INFO::Fitting model to feature number 587, F615
## 2025-02-17 19:52:33.60093 INFO::Fitting model to feature number 588, F616
## 2025-02-17 19:52:33.605333 INFO::Fitting model to feature number 589, F617
## 2025-02-17 19:52:33.609923 INFO::Fitting model to feature number 590, F618
## 2025-02-17 19:52:33.614269 INFO::Fitting model to feature number 591, F619
## 2025-02-17 19:52:33.61864 INFO::Fitting model to feature number 592, F620
## 2025-02-17 19:52:33.623012 INFO::Fitting model to feature number 593, F621
## 2025-02-17 19:52:33.627352 INFO::Fitting model to feature number 594, F622
## 2025-02-17 19:52:33.631635 INFO::Fitting model to feature number 595, F623
## 2025-02-17 19:52:33.635948 INFO::Fitting model to feature number 596, F624
## 2025-02-17 19:52:33.640373 INFO::Fitting model to feature number 597, F625
## 2025-02-17 19:52:33.644692 INFO::Fitting model to feature number 598, F626
## 2025-02-17 19:52:33.648971 INFO::Fitting model to feature number 599, F627
## 2025-02-17 19:52:33.653301 INFO::Fitting model to feature number 600, F628
## 2025-02-17 19:52:33.657679 INFO::Fitting model to feature number 601, F629
## 2025-02-17 19:52:33.662214 INFO::Fitting model to feature number 602, F630
## 2025-02-17 19:52:33.666544 INFO::Fitting model to feature number 603, F631
## 2025-02-17 19:52:33.670871 INFO::Fitting model to feature number 604, F632
## 2025-02-17 19:52:33.675232 INFO::Fitting model to feature number 605, F633
## 2025-02-17 19:52:33.680145 INFO::Fitting model to feature number 606, F634
## 2025-02-17 19:52:33.685037 INFO::Fitting model to feature number 607, F635
## 2025-02-17 19:52:33.689427 INFO::Fitting model to feature number 608, F636
## 2025-02-17 19:52:33.694374 INFO::Fitting model to feature number 609, F637
## 2025-02-17 19:52:33.698783 INFO::Fitting model to feature number 610, F638
## 2025-02-17 19:52:33.705287 INFO::Fitting model to feature number 611, F639
## 2025-02-17 19:52:33.710691 INFO::Fitting model to feature number 612, F640
## 2025-02-17 19:52:33.715235 INFO::Fitting model to feature number 613, F641
## 2025-02-17 19:52:33.7199 INFO::Fitting model to feature number 614, F642
## 2025-02-17 19:52:33.724512 INFO::Fitting model to feature number 615, F643
## 2025-02-17 19:52:33.729098 INFO::Fitting model to feature number 616, F644
## 2025-02-17 19:52:33.733739 INFO::Fitting model to feature number 617, F645
## 2025-02-17 19:52:33.738327 INFO::Fitting model to feature number 618, F646
## 2025-02-17 19:52:33.742936 INFO::Fitting model to feature number 619, F647
## 2025-02-17 19:52:33.747448 INFO::Fitting model to feature number 620, F648
## 2025-02-17 19:52:33.752036 INFO::Fitting model to feature number 621, F649
## 2025-02-17 19:52:33.75665 INFO::Fitting model to feature number 622, F650
## 2025-02-17 19:52:33.761105 INFO::Fitting model to feature number 623, F651
## 2025-02-17 19:52:33.765677 INFO::Fitting model to feature number 624, F652
## 2025-02-17 19:52:33.770145 INFO::Fitting model to feature number 625, F653
## 2025-02-17 19:52:33.774756 INFO::Fitting model to feature number 626, F654
## 2025-02-17 19:52:33.779321 INFO::Fitting model to feature number 627, F655
## 2025-02-17 19:52:33.783922 INFO::Fitting model to feature number 628, F656
## 2025-02-17 19:52:33.788439 INFO::Fitting model to feature number 629, F657
## 2025-02-17 19:52:33.793347 INFO::Fitting model to feature number 630, F658
## 2025-02-17 19:52:33.800105 INFO::Fitting model to feature number 631, F659
## 2025-02-17 19:52:33.80705 INFO::Fitting model to feature number 632, F660
## 2025-02-17 19:52:33.813955 INFO::Fitting model to feature number 633, F661
## 2025-02-17 19:52:33.820719 INFO::Fitting model to feature number 634, F662
## 2025-02-17 19:52:33.827485 INFO::Fitting model to feature number 635, F663
## 2025-02-17 19:52:33.834243 INFO::Fitting model to feature number 636, F664
## 2025-02-17 19:52:33.840951 INFO::Fitting model to feature number 637, F665
## 2025-02-17 19:52:33.847845 INFO::Fitting model to feature number 638, F666
## 2025-02-17 19:52:33.854648 INFO::Fitting model to feature number 639, F667
## 2025-02-17 19:52:33.861867 INFO::Fitting model to feature number 640, F668
## 2025-02-17 19:52:33.868079 INFO::Fitting model to feature number 641, F669
## 2025-02-17 19:52:33.872692 INFO::Fitting model to feature number 642, F670
## 2025-02-17 19:52:33.87752 INFO::Fitting model to feature number 643, F671
## 2025-02-17 19:52:33.882301 INFO::Fitting model to feature number 644, F672
## 2025-02-17 19:52:33.887011 INFO::Fitting model to feature number 645, F673
## 2025-02-17 19:52:33.891919 INFO::Fitting model to feature number 646, F674
## 2025-02-17 19:52:33.897869 INFO::Fitting model to feature number 647, F675
## 2025-02-17 19:52:33.902871 INFO::Fitting model to feature number 648, F676
## 2025-02-17 19:52:33.907953 INFO::Fitting model to feature number 649, F677
## 2025-02-17 19:52:33.912714 INFO::Fitting model to feature number 650, F678
## 2025-02-17 19:52:33.917488 INFO::Fitting model to feature number 651, F679
## 2025-02-17 19:52:33.922548 INFO::Fitting model to feature number 652, F680
## 2025-02-17 19:52:33.929086 INFO::Fitting model to feature number 653, F681
## 2025-02-17 19:52:33.934651 INFO::Fitting model to feature number 654, F682
## 2025-02-17 19:52:33.939669 INFO::Fitting model to feature number 655, F683
## 2025-02-17 19:52:33.944378 INFO::Fitting model to feature number 656, F684
## 2025-02-17 19:52:33.949203 INFO::Fitting model to feature number 657, F685
## 2025-02-17 19:52:33.954065 INFO::Fitting model to feature number 658, F686
## 2025-02-17 19:52:33.958932 INFO::Fitting model to feature number 659, F687
## 2025-02-17 19:52:33.963433 INFO::Fitting model to feature number 660, F688
## 2025-02-17 19:52:33.96815 INFO::Fitting model to feature number 661, F689
## 2025-02-17 19:52:33.972724 INFO::Fitting model to feature number 662, F690
## 2025-02-17 19:52:33.977273 INFO::Fitting model to feature number 663, F691
## 2025-02-17 19:52:33.981859 INFO::Fitting model to feature number 664, F692
## 2025-02-17 19:52:33.986366 INFO::Fitting model to feature number 665, F693
## 2025-02-17 19:52:33.990831 INFO::Fitting model to feature number 666, F694
## 2025-02-17 19:52:33.995354 INFO::Fitting model to feature number 667, F695
## 2025-02-17 19:52:33.999893 INFO::Fitting model to feature number 668, F696
## 2025-02-17 19:52:34.004462 INFO::Fitting model to feature number 669, F697
## 2025-02-17 19:52:34.009007 INFO::Fitting model to feature number 670, F698
## 2025-02-17 19:52:34.013658 INFO::Fitting model to feature number 671, F699
## 2025-02-17 19:52:34.018283 INFO::Fitting model to feature number 672, F700
## 2025-02-17 19:52:34.022901 INFO::Fitting model to feature number 673, F701
## 2025-02-17 19:52:34.027516 INFO::Fitting model to feature number 674, F702
## 2025-02-17 19:52:34.032197 INFO::Fitting model to feature number 675, F704
## 2025-02-17 19:52:34.036811 INFO::Fitting model to feature number 676, F705
## 2025-02-17 19:52:34.041416 INFO::Fitting model to feature number 677, F706
## 2025-02-17 19:52:34.046117 INFO::Fitting model to feature number 678, F707
## 2025-02-17 19:52:34.050734 INFO::Fitting model to feature number 679, F708
## 2025-02-17 19:52:34.055375 INFO::Fitting model to feature number 680, F709
## 2025-02-17 19:52:34.060139 INFO::Fitting model to feature number 681, F710
## 2025-02-17 19:52:34.064939 INFO::Fitting model to feature number 682, F711
## 2025-02-17 19:52:34.069643 INFO::Fitting model to feature number 683, F712
## 2025-02-17 19:52:34.074199 INFO::Fitting model to feature number 684, F713
## 2025-02-17 19:52:34.078745 INFO::Fitting model to feature number 685, F714
## 2025-02-17 19:52:34.083337 INFO::Fitting model to feature number 686, F715
## 2025-02-17 19:52:34.087869 INFO::Fitting model to feature number 687, F716
## 2025-02-17 19:52:34.092347 INFO::Fitting model to feature number 688, F717
## 2025-02-17 19:52:34.096927 INFO::Fitting model to feature number 689, F718
## 2025-02-17 19:52:34.101489 INFO::Fitting model to feature number 690, F719
## 2025-02-17 19:52:34.106004 INFO::Fitting model to feature number 691, F720
## 2025-02-17 19:52:34.110584 INFO::Fitting model to feature number 692, F721
## 2025-02-17 19:52:34.115402 INFO::Fitting model to feature number 693, F722
## 2025-02-17 19:52:34.120015 INFO::Fitting model to feature number 694, F723
## 2025-02-17 19:52:34.124806 INFO::Fitting model to feature number 695, F724
## 2025-02-17 19:52:34.129589 INFO::Fitting model to feature number 696, F725
## 2025-02-17 19:52:34.134228 INFO::Fitting model to feature number 697, F726
## 2025-02-17 19:52:34.138854 INFO::Fitting model to feature number 698, F727
## 2025-02-17 19:52:34.143879 INFO::Fitting model to feature number 699, F728
## 2025-02-17 19:52:34.148865 INFO::Fitting model to feature number 700, F729
## 2025-02-17 19:52:34.156114 INFO::Fitting model to feature number 701, F730
## 2025-02-17 19:52:34.163446 INFO::Fitting model to feature number 702, F731
## 2025-02-17 19:52:34.170626 INFO::Fitting model to feature number 703, F732
## 2025-02-17 19:52:34.177963 INFO::Fitting model to feature number 704, F733
## 2025-02-17 19:52:34.182847 INFO::Fitting model to feature number 705, F734
## 2025-02-17 19:52:34.187654 INFO::Fitting model to feature number 706, F735
## 2025-02-17 19:52:34.192395 INFO::Fitting model to feature number 707, F736
## 2025-02-17 19:52:34.197018 INFO::Fitting model to feature number 708, F737
## 2025-02-17 19:52:34.201657 INFO::Fitting model to feature number 709, F739
## 2025-02-17 19:52:34.206344 INFO::Fitting model to feature number 710, F740
## 2025-02-17 19:52:34.210951 INFO::Fitting model to feature number 711, F741
## 2025-02-17 19:52:34.215542 INFO::Fitting model to feature number 712, F742
## 2025-02-17 19:52:34.220319 INFO::Fitting model to feature number 713, F743
## 2025-02-17 19:52:34.225048 INFO::Fitting model to feature number 714, F744
## 2025-02-17 19:52:34.229607 INFO::Fitting model to feature number 715, F745
## 2025-02-17 19:52:34.234211 INFO::Fitting model to feature number 716, F746
## 2025-02-17 19:52:34.238745 INFO::Fitting model to feature number 717, F747
## 2025-02-17 19:52:34.243294 INFO::Fitting model to feature number 718, F748
## 2025-02-17 19:52:34.247844 INFO::Fitting model to feature number 719, F749
## 2025-02-17 19:52:34.252437 INFO::Fitting model to feature number 720, F750
## 2025-02-17 19:52:34.257043 INFO::Fitting model to feature number 721, F751
## 2025-02-17 19:52:34.261633 INFO::Fitting model to feature number 722, F752
## 2025-02-17 19:52:34.266248 INFO::Fitting model to feature number 723, F753
## 2025-02-17 19:52:34.270753 INFO::Fitting model to feature number 724, F754
## 2025-02-17 19:52:34.275214 INFO::Fitting model to feature number 725, F755
## 2025-02-17 19:52:34.279721 INFO::Fitting model to feature number 726, F756
## 2025-02-17 19:52:34.284257 INFO::Fitting model to feature number 727, F757
## 2025-02-17 19:52:34.288775 INFO::Fitting model to feature number 728, F758
## 2025-02-17 19:52:34.293312 INFO::Fitting model to feature number 729, F759
## 2025-02-17 19:52:34.298638 INFO::Fitting model to feature number 730, F760
## 2025-02-17 19:52:34.304104 INFO::Fitting model to feature number 731, F761
## 2025-02-17 19:52:34.30869 INFO::Fitting model to feature number 732, F762
## 2025-02-17 19:52:34.313354 INFO::Fitting model to feature number 733, F763
## 2025-02-17 19:52:34.340156 INFO::Fitting model to feature number 734, F764
## 2025-02-17 19:52:34.346329 INFO::Fitting model to feature number 735, F765
## 2025-02-17 19:52:34.350854 INFO::Fitting model to feature number 736, F766
## 2025-02-17 19:52:34.355277 INFO::Fitting model to feature number 737, F767
## 2025-02-17 19:52:34.359774 INFO::Fitting model to feature number 738, F768
## 2025-02-17 19:52:34.364065 INFO::Fitting model to feature number 739, F769
## 2025-02-17 19:52:34.36837 INFO::Fitting model to feature number 740, F770
## 2025-02-17 19:52:34.372521 INFO::Fitting model to feature number 741, F771
## 2025-02-17 19:52:34.376768 INFO::Fitting model to feature number 742, F772
## 2025-02-17 19:52:34.380965 INFO::Fitting model to feature number 743, F773
## 2025-02-17 19:52:34.38529 INFO::Fitting model to feature number 744, F774
## 2025-02-17 19:52:34.38955 INFO::Fitting model to feature number 745, F775
## 2025-02-17 19:52:34.393735 INFO::Fitting model to feature number 746, F776
## 2025-02-17 19:52:34.397873 INFO::Fitting model to feature number 747, F777
## 2025-02-17 19:52:34.40203 INFO::Fitting model to feature number 748, F778
## 2025-02-17 19:52:34.406262 INFO::Fitting model to feature number 749, F779
## 2025-02-17 19:52:34.410488 INFO::Fitting model to feature number 750, F780
## 2025-02-17 19:52:34.41473 INFO::Fitting model to feature number 751, F781
## 2025-02-17 19:52:34.418988 INFO::Fitting model to feature number 752, F782
## 2025-02-17 19:52:34.423288 INFO::Fitting model to feature number 753, F783
## 2025-02-17 19:52:34.427473 INFO::Fitting model to feature number 754, F784
## 2025-02-17 19:52:34.431816 INFO::Fitting model to feature number 755, F785
## 2025-02-17 19:52:34.436167 INFO::Fitting model to feature number 756, F786
## 2025-02-17 19:52:34.442789 INFO::Fitting model to feature number 757, F787
## 2025-02-17 19:52:34.449961 INFO::Fitting model to feature number 758, F788
## 2025-02-17 19:52:34.457281 INFO::Fitting model to feature number 759, F789
## 2025-02-17 19:52:34.463958 INFO::Fitting model to feature number 760, F790
## 2025-02-17 19:52:34.471402 INFO::Fitting model to feature number 761, F791
## 2025-02-17 19:52:34.478718 INFO::Fitting model to feature number 762, F792
## 2025-02-17 19:52:34.483183 INFO::Fitting model to feature number 763, F793
## 2025-02-17 19:52:34.487573 INFO::Fitting model to feature number 764, F794
## 2025-02-17 19:52:34.491873 INFO::Fitting model to feature number 765, F795
## 2025-02-17 19:52:34.496179 INFO::Fitting model to feature number 766, F796
## 2025-02-17 19:52:34.50053 INFO::Fitting model to feature number 767, F797
## 2025-02-17 19:52:34.504807 INFO::Fitting model to feature number 768, F798
## 2025-02-17 19:52:34.50905 INFO::Fitting model to feature number 769, F799
## 2025-02-17 19:52:34.513231 INFO::Fitting model to feature number 770, F800
## 2025-02-17 19:52:34.517364 INFO::Fitting model to feature number 771, F801
## 2025-02-17 19:52:34.521446 INFO::Fitting model to feature number 772, F802
## 2025-02-17 19:52:34.525576 INFO::Fitting model to feature number 773, F803
## 2025-02-17 19:52:34.529714 INFO::Fitting model to feature number 774, F804
## 2025-02-17 19:52:34.533862 INFO::Fitting model to feature number 775, F805
## 2025-02-17 19:52:34.537976 INFO::Fitting model to feature number 776, F806
## 2025-02-17 19:52:34.542228 INFO::Fitting model to feature number 777, F808
## 2025-02-17 19:52:34.546607 INFO::Fitting model to feature number 778, F809
## 2025-02-17 19:52:34.552135 INFO::Fitting model to feature number 779, F810
## 2025-02-17 19:52:34.556668 INFO::Fitting model to feature number 780, F811
## 2025-02-17 19:52:34.561099 INFO::Fitting model to feature number 781, F812
## 2025-02-17 19:52:34.565495 INFO::Fitting model to feature number 782, F813
## 2025-02-17 19:52:34.571173 INFO::Fitting model to feature number 783, F814
## 2025-02-17 19:52:34.57789 INFO::Fitting model to feature number 784, F815
## 2025-02-17 19:52:34.583928 INFO::Fitting model to feature number 785, F816
## 2025-02-17 19:52:34.588427 INFO::Fitting model to feature number 786, F817
## 2025-02-17 19:52:34.593064 INFO::Fitting model to feature number 787, F818
## 2025-02-17 19:52:34.597844 INFO::Fitting model to feature number 788, F819
## 2025-02-17 19:52:34.60282 INFO::Fitting model to feature number 789, F820
## 2025-02-17 19:52:34.607454 INFO::Fitting model to feature number 790, F821
## 2025-02-17 19:52:34.612075 INFO::Fitting model to feature number 791, F822
## 2025-02-17 19:52:34.616492 INFO::Fitting model to feature number 792, F823
## 2025-02-17 19:52:34.620861 INFO::Fitting model to feature number 793, F824
## 2025-02-17 19:52:34.625305 INFO::Fitting model to feature number 794, F825
## 2025-02-17 19:52:34.629664 INFO::Fitting model to feature number 795, F826
## 2025-02-17 19:52:34.634128 INFO::Fitting model to feature number 796, F827
## 2025-02-17 19:52:34.638916 INFO::Fitting model to feature number 797, F828
## 2025-02-17 19:52:34.643512 INFO::Fitting model to feature number 798, F829
## 2025-02-17 19:52:34.647939 INFO::Fitting model to feature number 799, F830
## 2025-02-17 19:52:34.652427 INFO::Fitting model to feature number 800, F831
## 2025-02-17 19:52:34.656909 INFO::Fitting model to feature number 801, F832
## 2025-02-17 19:52:34.661341 INFO::Fitting model to feature number 802, F833
## 2025-02-17 19:52:34.665757 INFO::Fitting model to feature number 803, F834
## 2025-02-17 19:52:34.670117 INFO::Fitting model to feature number 804, F835
## 2025-02-17 19:52:34.674509 INFO::Fitting model to feature number 805, F836
## 2025-02-17 19:52:34.67878 INFO::Fitting model to feature number 806, F837
## 2025-02-17 19:52:34.683144 INFO::Fitting model to feature number 807, F838
## 2025-02-17 19:52:34.687518 INFO::Fitting model to feature number 808, F839
## 2025-02-17 19:52:34.691985 INFO::Fitting model to feature number 809, F840
## 2025-02-17 19:52:34.69633 INFO::Fitting model to feature number 810, F841
## 2025-02-17 19:52:34.700716 INFO::Fitting model to feature number 811, F842
## 2025-02-17 19:52:34.705234 INFO::Fitting model to feature number 812, F843
## 2025-02-17 19:52:34.709727 INFO::Fitting model to feature number 813, F844
## 2025-02-17 19:52:34.714316 INFO::Fitting model to feature number 814, F845
## 2025-02-17 19:52:34.718732 INFO::Fitting model to feature number 815, F846
## 2025-02-17 19:52:34.723316 INFO::Fitting model to feature number 816, F847
## 2025-02-17 19:52:34.727758 INFO::Fitting model to feature number 817, F848
## 2025-02-17 19:52:34.732413 INFO::Fitting model to feature number 818, F849
## 2025-02-17 19:52:34.736842 INFO::Fitting model to feature number 819, F850
## 2025-02-17 19:52:34.741355 INFO::Fitting model to feature number 820, F851
## 2025-02-17 19:52:34.74583 INFO::Fitting model to feature number 821, F852
## 2025-02-17 19:52:34.750296 INFO::Fitting model to feature number 822, F853
## 2025-02-17 19:52:34.754612 INFO::Fitting model to feature number 823, F854
## 2025-02-17 19:52:34.758882 INFO::Fitting model to feature number 824, F855
## 2025-02-17 19:52:34.763132 INFO::Fitting model to feature number 825, F856
## 2025-02-17 19:52:34.767396 INFO::Fitting model to feature number 826, F857
## 2025-02-17 19:52:34.771661 INFO::Fitting model to feature number 827, F858
## 2025-02-17 19:52:34.77587 INFO::Fitting model to feature number 828, F859
## 2025-02-17 19:52:34.780055 INFO::Fitting model to feature number 829, F860
## 2025-02-17 19:52:34.784341 INFO::Fitting model to feature number 830, F861
## 2025-02-17 19:52:34.788912 INFO::Fitting model to feature number 831, F862
## 2025-02-17 19:52:34.793246 INFO::Fitting model to feature number 832, F863
## 2025-02-17 19:52:34.797435 INFO::Fitting model to feature number 833, F864
## 2025-02-17 19:52:34.801651 INFO::Fitting model to feature number 834, F865
## 2025-02-17 19:52:34.806151 INFO::Fitting model to feature number 835, F866
## 2025-02-17 19:52:34.810615 INFO::Fitting model to feature number 836, F867
## 2025-02-17 19:52:34.815068 INFO::Fitting model to feature number 837, F868
## 2025-02-17 19:52:34.819385 INFO::Fitting model to feature number 838, F869
## 2025-02-17 19:52:34.823671 INFO::Fitting model to feature number 839, F870
## 2025-02-17 19:52:34.827977 INFO::Fitting model to feature number 840, F871
## 2025-02-17 19:52:34.834714 INFO::Fitting model to feature number 841, F872
## 2025-02-17 19:52:34.841719 INFO::Fitting model to feature number 842, F873
## 2025-02-17 19:52:34.848613 INFO::Fitting model to feature number 843, F874
## 2025-02-17 19:52:34.856232 INFO::Fitting model to feature number 844, F875
## 2025-02-17 19:52:34.863918 INFO::Fitting model to feature number 845, F876
## 2025-02-17 19:52:34.870175 INFO::Fitting model to feature number 846, F877
## 2025-02-17 19:52:34.87478 INFO::Fitting model to feature number 847, F878
## 2025-02-17 19:52:34.879358 INFO::Fitting model to feature number 848, F879
## 2025-02-17 19:52:34.883907 INFO::Fitting model to feature number 849, F880
## 2025-02-17 19:52:34.888495 INFO::Fitting model to feature number 850, F881
## 2025-02-17 19:52:34.893297 INFO::Fitting model to feature number 851, F882
## 2025-02-17 19:52:34.897923 INFO::Fitting model to feature number 852, F883
## 2025-02-17 19:52:34.902562 INFO::Fitting model to feature number 853, F884
## 2025-02-17 19:52:34.907119 INFO::Fitting model to feature number 854, F885
## 2025-02-17 19:52:34.911737 INFO::Fitting model to feature number 855, F886
## 2025-02-17 19:52:34.916236 INFO::Fitting model to feature number 856, F887
## 2025-02-17 19:52:34.920729 INFO::Fitting model to feature number 857, F888
## 2025-02-17 19:52:34.927382 INFO::Fitting model to feature number 858, F889
## 2025-02-17 19:52:34.932223 INFO::Fitting model to feature number 859, F890
## 2025-02-17 19:52:34.937468 INFO::Fitting model to feature number 860, F891
## 2025-02-17 19:52:34.944348 INFO::Fitting model to feature number 861, F892
## 2025-02-17 19:52:34.951679 INFO::Fitting model to feature number 862, F893
## 2025-02-17 19:52:34.959536 INFO::Fitting model to feature number 863, F894
## 2025-02-17 19:52:34.965067 INFO::Fitting model to feature number 864, F895
## 2025-02-17 19:52:34.969795 INFO::Fitting model to feature number 865, F896
## 2025-02-17 19:52:34.975087 INFO::Fitting model to feature number 866, F897
## 2025-02-17 19:52:34.982067 INFO::Fitting model to feature number 867, F898
## 2025-02-17 19:52:34.989189 INFO::Fitting model to feature number 868, F899
## 2025-02-17 19:52:34.996303 INFO::Fitting model to feature number 869, F900
## 2025-02-17 19:52:35.254528 INFO::Counting total values for each feature
## 2025-02-17 19:52:35.390023 INFO::Writing filtered data to file Macarron_output/maaslin2_results/features/filtered_data.tsv
## 2025-02-17 19:52:35.630627 INFO::Writing filtered, normalized data to file Macarron_output/maaslin2_results/features/filtered_data_norm.tsv
## 2025-02-17 19:52:36.188122 INFO::Writing filtered, normalized, transformed data to file Macarron_output/maaslin2_results/features/filtered_data_norm_transformed.tsv
## 2025-02-17 19:52:36.439485 INFO::Writing residuals to file Macarron_output/maaslin2_results/fits/residuals.rds
## 2025-02-17 19:52:36.480534 INFO::Writing fitted values to file Macarron_output/maaslin2_results/fits/fitted.rds
## 2025-02-17 19:52:36.515307 INFO::Writing all results to file (ordered by increasing q-values): Macarron_output/maaslin2_results/all_results.tsv
## 2025-02-17 19:52:36.599549 INFO::Writing the significant results (those which are less than or equal to the threshold of 0.250000 ) to file (ordered by increasing q-values): Macarron_output/maaslin2_results/significant_results.tsv
## 2025-02-17 19:52:36.638708 INFO::Writing association plots (one for each significant association) to output folder: Macarron_output/maaslin2_results
## 2025-02-17 19:52:36.735272 INFO::Plotting associations from most to least significant, grouped by metadata
## 2025-02-17 19:52:36.737475 INFO::Plotting data for metadata number 1, diagnosis
## 2025-02-17 19:52:36.823205 INFO::Creating boxplot for categorical data, diagnosis vs F504
## 2025-02-17 19:52:37.299767 INFO::Creating boxplot for categorical data, diagnosis vs F859
## 2025-02-17 19:52:37.512719 INFO::Creating boxplot for categorical data, diagnosis vs F533
## 2025-02-17 19:52:37.695682 INFO::Creating boxplot for categorical data, diagnosis vs F587
## 2025-02-17 19:52:37.878947 INFO::Creating boxplot for categorical data, diagnosis vs F584
## 2025-02-17 19:52:38.173828 INFO::Creating boxplot for categorical data, diagnosis vs F197
## 2025-02-17 19:52:38.537823 INFO::Creating boxplot for categorical data, diagnosis vs F380
## 2025-02-17 19:52:38.809889 INFO::Creating boxplot for categorical data, diagnosis vs F829
## 2025-02-17 19:52:39.036479 INFO::Creating boxplot for categorical data, diagnosis vs F664
## 2025-02-17 19:52:39.268898 INFO::Creating boxplot for categorical data, diagnosis vs F93
## 2025-02-17 19:52:39.563459 INFO::Creating boxplot for categorical data, diagnosis vs F15
## 2025-02-17 19:52:39.835995 INFO::Creating boxplot for categorical data, diagnosis vs F881
## 2025-02-17 19:52:40.031265 INFO::Creating boxplot for categorical data, diagnosis vs F806
## 2025-02-17 19:52:40.267354 INFO::Creating boxplot for categorical data, diagnosis vs F78
## 2025-02-17 19:52:40.550708 INFO::Creating boxplot for categorical data, diagnosis vs F189
## 2025-02-17 19:52:40.840108 INFO::Creating boxplot for categorical data, diagnosis vs F369
## 2025-02-17 19:52:41.091853 INFO::Creating boxplot for categorical data, diagnosis vs F623
## 2025-02-17 19:52:41.412809 INFO::Creating boxplot for categorical data, diagnosis vs F710
## 2025-02-17 19:52:41.86134 INFO::Creating boxplot for categorical data, diagnosis vs F851
## 2025-02-17 19:52:42.108742 INFO::Creating boxplot for categorical data, diagnosis vs F257
## 2025-02-17 19:52:42.391361 INFO::Creating boxplot for categorical data, diagnosis vs F330
## 2025-02-17 19:52:42.568989 INFO::Creating boxplot for categorical data, diagnosis vs F344
## 2025-02-17 19:52:42.786973 INFO::Creating boxplot for categorical data, diagnosis vs F696
## 2025-02-17 19:52:43.030672 INFO::Creating boxplot for categorical data, diagnosis vs F741
## 2025-02-17 19:52:43.314868 INFO::Creating boxplot for categorical data, diagnosis vs F509
## 2025-02-17 19:52:43.574247 INFO::Creating boxplot for categorical data, diagnosis vs F479
## 2025-02-17 19:52:43.797699 INFO::Creating boxplot for categorical data, diagnosis vs F550
## 2025-02-17 19:52:43.993873 INFO::Creating boxplot for categorical data, diagnosis vs F640
## 2025-02-17 19:52:44.168543 INFO::Creating boxplot for categorical data, diagnosis vs F281
## 2025-02-17 19:52:44.343427 INFO::Creating boxplot for categorical data, diagnosis vs F80
## 2025-02-17 19:52:44.513862 INFO::Creating boxplot for categorical data, diagnosis vs F285
## 2025-02-17 19:52:44.690557 INFO::Creating boxplot for categorical data, diagnosis vs F531
## 2025-02-17 19:52:44.866552 INFO::Creating boxplot for categorical data, diagnosis vs F737
## 2025-02-17 19:52:45.05618 INFO::Creating boxplot for categorical data, diagnosis vs F875
## 2025-02-17 19:52:45.228633 INFO::Creating boxplot for categorical data, diagnosis vs F864
## 2025-02-17 19:52:45.484161 INFO::Creating boxplot for categorical data, diagnosis vs F379
## 2025-02-17 19:52:45.757909 INFO::Creating boxplot for categorical data, diagnosis vs F190
## 2025-02-17 19:52:46.046733 INFO::Creating boxplot for categorical data, diagnosis vs F4
## 2025-02-17 19:52:46.339061 INFO::Creating boxplot for categorical data, diagnosis vs F591
## 2025-02-17 19:52:46.600676 INFO::Creating boxplot for categorical data, diagnosis vs F773
## 2025-02-17 19:52:46.884517 INFO::Creating boxplot for categorical data, diagnosis vs F283
## 2025-02-17 19:52:47.169186 INFO::Creating boxplot for categorical data, diagnosis vs F233
## 2025-02-17 19:52:47.342434 INFO::Creating boxplot for categorical data, diagnosis vs F420
## 2025-02-17 19:52:47.530208 INFO::Creating boxplot for categorical data, diagnosis vs F5
## 2025-02-17 19:52:47.705163 INFO::Creating boxplot for categorical data, diagnosis vs F137
## 2025-02-17 19:52:47.949056 INFO::Creating boxplot for categorical data, diagnosis vs F215
## 2025-02-17 19:52:48.17064 INFO::Creating boxplot for categorical data, diagnosis vs F489
## 2025-02-17 19:52:48.443843 INFO::Creating boxplot for categorical data, diagnosis vs F220
## 2025-02-17 19:52:48.728524 INFO::Creating boxplot for categorical data, diagnosis vs F691
## 2025-02-17 19:52:49.009267 INFO::Creating boxplot for categorical data, diagnosis vs F381
## 2025-02-17 19:52:49.237616 INFO::Creating boxplot for categorical data, diagnosis vs F539
## 2025-02-17 19:52:49.4867 INFO::Creating boxplot for categorical data, diagnosis vs F490
## 2025-02-17 19:52:49.656091 INFO::Creating boxplot for categorical data, diagnosis vs F832
## 2025-02-17 19:52:49.878359 INFO::Creating boxplot for categorical data, diagnosis vs F396
## 2025-02-17 19:52:50.074465 INFO::Creating boxplot for categorical data, diagnosis vs F528
## 2025-02-17 19:52:50.243708 INFO::Creating boxplot for categorical data, diagnosis vs F234
## 2025-02-17 19:52:50.513613 INFO::Creating boxplot for categorical data, diagnosis vs F178
## 2025-02-17 19:52:50.771777 INFO::Creating boxplot for categorical data, diagnosis vs F761
## 2025-02-17 19:52:51.057832 INFO::Creating boxplot for categorical data, diagnosis vs F2
## 2025-02-17 19:52:51.334776 INFO::Creating boxplot for categorical data, diagnosis vs F260
## 2025-02-17 19:52:51.57 INFO::Creating boxplot for categorical data, diagnosis vs F734
## 2025-02-17 19:52:51.788058 INFO::Creating boxplot for categorical data, diagnosis vs F429
## 2025-02-17 19:52:51.976406 INFO::Creating boxplot for categorical data, diagnosis vs F630
## 2025-02-17 19:52:52.173085 INFO::Creating boxplot for categorical data, diagnosis vs F817
## 2025-02-17 19:52:52.368396 INFO::Creating boxplot for categorical data, diagnosis vs F847
## 2025-02-17 19:52:52.564454 INFO::Creating boxplot for categorical data, diagnosis vs F896
## 2025-02-17 19:52:52.745639 INFO::Creating boxplot for categorical data, diagnosis vs F81
## 2025-02-17 19:52:52.930164 INFO::Creating boxplot for categorical data, diagnosis vs F110
## 2025-02-17 19:52:53.113893 INFO::Creating boxplot for categorical data, diagnosis vs F3
## 2025-02-17 19:52:53.304157 INFO::Creating boxplot for categorical data, diagnosis vs F33
## 2025-02-17 19:52:53.507271 INFO::Creating boxplot for categorical data, diagnosis vs F270
## 2025-02-17 19:52:53.710726 INFO::Creating boxplot for categorical data, diagnosis vs F278
## 2025-02-17 19:52:53.945753 INFO::Creating boxplot for categorical data, diagnosis vs F264
## 2025-02-17 19:52:54.214175 INFO::Creating boxplot for categorical data, diagnosis vs F90
## 2025-02-17 19:52:54.436298 INFO::Creating boxplot for categorical data, diagnosis vs F403
## 2025-02-17 19:52:54.680169 INFO::Creating boxplot for categorical data, diagnosis vs F727
## 2025-02-17 19:52:54.843523 INFO::Creating boxplot for categorical data, diagnosis vs F394
## 2025-02-17 19:52:55.004666 INFO::Creating boxplot for categorical data, diagnosis vs F800
## 2025-02-17 19:52:55.171101 INFO::Creating boxplot for categorical data, diagnosis vs F439
## 2025-02-17 19:52:55.335522 INFO::Creating boxplot for categorical data, diagnosis vs F554
## 2025-02-17 19:52:55.499902 INFO::Creating boxplot for categorical data, diagnosis vs F559
## 2025-02-17 19:52:55.677192 INFO::Creating boxplot for categorical data, diagnosis vs F548
## 2025-02-17 19:52:55.91583 INFO::Creating boxplot for categorical data, diagnosis vs F794
## 2025-02-17 19:52:56.176047 INFO::Creating boxplot for categorical data, diagnosis vs F45
## 2025-02-17 19:52:56.428693 INFO::Creating boxplot for categorical data, diagnosis vs F158
## 2025-02-17 19:52:56.674168 INFO::Creating boxplot for categorical data, diagnosis vs F477
## 2025-02-17 19:52:56.973634 INFO::Creating boxplot for categorical data, diagnosis vs F1
## 2025-02-17 19:52:57.240187 INFO::Creating boxplot for categorical data, diagnosis vs F862
## 2025-02-17 19:52:57.412914 INFO::Creating boxplot for categorical data, diagnosis vs F803
## 2025-02-17 19:52:57.586107 INFO::Creating boxplot for categorical data, diagnosis vs F751
## 2025-02-17 19:52:57.811818 INFO::Creating boxplot for categorical data, diagnosis vs F98
## 2025-02-17 19:52:58.229812 INFO::Creating boxplot for categorical data, diagnosis vs F22
## 2025-02-17 19:52:58.39188 INFO::Creating boxplot for categorical data, diagnosis vs F625
## 2025-02-17 19:52:58.574397 INFO::Creating boxplot for categorical data, diagnosis vs F206
## 2025-02-17 19:52:58.764034 INFO::Creating boxplot for categorical data, diagnosis vs F779
## 2025-02-17 19:52:58.932383 INFO::Creating boxplot for categorical data, diagnosis vs F532
## 2025-02-17 19:52:59.135254 INFO::Creating boxplot for categorical data, diagnosis vs F676
## 2025-02-17 19:52:59.316631 INFO::Creating boxplot for categorical data, diagnosis vs F644
## 2025-02-17 19:52:59.494824 INFO::Creating boxplot for categorical data, diagnosis vs F7
## 2025-02-17 19:52:59.666438 INFO::Creating boxplot for categorical data, diagnosis vs F596
## 2025-02-17 19:52:59.839562 INFO::Creating boxplot for categorical data, diagnosis vs F250
## 2025-02-17 19:53:00.017448 INFO::Creating boxplot for categorical data, diagnosis vs F462
## 2025-02-17 19:53:00.205108 INFO::Creating boxplot for categorical data, diagnosis vs F516
## 2025-02-17 19:53:00.375588 INFO::Creating boxplot for categorical data, diagnosis vs F659
## 2025-02-17 19:53:00.600098 INFO::Creating boxplot for categorical data, diagnosis vs F663
## 2025-02-17 19:53:00.776303 INFO::Creating boxplot for categorical data, diagnosis vs F837
## 2025-02-17 19:53:00.950843 INFO::Creating boxplot for categorical data, diagnosis vs F138
## 2025-02-17 19:53:01.136391 INFO::Creating boxplot for categorical data, diagnosis vs F445
## 2025-02-17 19:53:01.322442 INFO::Creating boxplot for categorical data, diagnosis vs F697
## 2025-02-17 19:53:01.489082 INFO::Creating boxplot for categorical data, diagnosis vs F225
## 2025-02-17 19:53:01.653883 INFO::Creating boxplot for categorical data, diagnosis vs F148
## 2025-02-17 19:53:01.818807 INFO::Creating boxplot for categorical data, diagnosis vs F448
## 2025-02-17 19:53:01.996377 INFO::Creating boxplot for categorical data, diagnosis vs F91
## 2025-02-17 19:53:02.166608 INFO::Creating boxplot for categorical data, diagnosis vs F123
## 2025-02-17 19:53:02.330456 INFO::Creating boxplot for categorical data, diagnosis vs F665
## 2025-02-17 19:53:02.494533 INFO::Creating boxplot for categorical data, diagnosis vs F845
## 2025-02-17 19:53:02.659866 INFO::Creating boxplot for categorical data, diagnosis vs F331
## 2025-02-17 19:53:02.891228 INFO::Creating boxplot for categorical data, diagnosis vs F361
## 2025-02-17 19:53:03.066135 INFO::Creating boxplot for categorical data, diagnosis vs F421
## 2025-02-17 19:53:03.252733 INFO::Creating boxplot for categorical data, diagnosis vs F277
## 2025-02-17 19:53:03.432966 INFO::Creating boxplot for categorical data, diagnosis vs F307
## 2025-02-17 19:53:03.605413 INFO::Creating boxplot for categorical data, diagnosis vs F503
## 2025-02-17 19:53:03.77903 INFO::Creating boxplot for categorical data, diagnosis vs F34
## 2025-02-17 19:53:03.99155 INFO::Creating boxplot for categorical data, diagnosis vs F649
## 2025-02-17 19:53:04.170839 INFO::Creating boxplot for categorical data, diagnosis vs F825
## 2025-02-17 19:53:04.337502 INFO::Creating boxplot for categorical data, diagnosis vs F298
## 2025-02-17 19:53:04.511868 INFO::Creating boxplot for categorical data, diagnosis vs F461
## 2025-02-17 19:53:04.683562 INFO::Creating boxplot for categorical data, diagnosis vs F242
## 2025-02-17 19:53:04.878778 INFO::Creating boxplot for categorical data, diagnosis vs F375
## 2025-02-17 19:53:05.07481 INFO::Creating boxplot for categorical data, diagnosis vs F648
## 2025-02-17 19:53:05.253065 INFO::Creating boxplot for categorical data, diagnosis vs F724
## 2025-02-17 19:53:05.4328 INFO::Creating boxplot for categorical data, diagnosis vs F678
## 2025-02-17 19:53:05.607415 INFO::Creating boxplot for categorical data, diagnosis vs F290
## 2025-02-17 19:53:05.79338 INFO::Creating boxplot for categorical data, diagnosis vs F743
## 2025-02-17 19:53:05.983684 INFO::Creating boxplot for categorical data, diagnosis vs F495
## 2025-02-17 19:53:06.160168 INFO::Creating boxplot for categorical data, diagnosis vs F261
## 2025-02-17 19:53:06.386797 INFO::Creating boxplot for categorical data, diagnosis vs F43
## 2025-02-17 19:53:06.558908 INFO::Creating boxplot for categorical data, diagnosis vs F714
## 2025-02-17 19:53:06.737196 INFO::Creating boxplot for categorical data, diagnosis vs F131
## 2025-02-17 19:53:06.941484 INFO::Creating boxplot for categorical data, diagnosis vs F150
## 2025-02-17 19:53:07.120021 INFO::Creating boxplot for categorical data, diagnosis vs F651
## 2025-02-17 19:53:07.344225 INFO::Creating boxplot for categorical data, diagnosis vs F798
## 2025-02-17 19:53:07.598293 INFO::Creating boxplot for categorical data, diagnosis vs F289
## 2025-02-17 19:53:07.772296 INFO::Creating boxplot for categorical data, diagnosis vs F661
## 2025-02-17 19:53:07.971848 INFO::Creating boxplot for categorical data, diagnosis vs F199
## 2025-02-17 19:53:08.168645 INFO::Creating boxplot for categorical data, diagnosis vs F406
## 2025-02-17 19:53:08.411939 INFO::Creating boxplot for categorical data, diagnosis vs F139
## 2025-02-17 19:53:08.674337 INFO::Creating boxplot for categorical data, diagnosis vs F506
## 2025-02-17 19:53:08.93431 INFO::Creating boxplot for categorical data, diagnosis vs F552
## 2025-02-17 19:53:09.21054 INFO::Creating boxplot for categorical data, diagnosis vs F94
## 2025-02-17 19:53:09.485783 INFO::Creating boxplot for categorical data, diagnosis vs F430
## 2025-02-17 19:53:09.700326 INFO::Creating boxplot for categorical data, diagnosis vs F639
## 2025-02-17 19:53:09.87548 INFO::Creating boxplot for categorical data, diagnosis vs F500
## 2025-02-17 19:53:10.094262 INFO::Creating boxplot for categorical data, diagnosis vs F609
## 2025-02-17 19:53:10.295438 INFO::Creating boxplot for categorical data, diagnosis vs F306
## 2025-02-17 19:53:10.535739 INFO::Creating boxplot for categorical data, diagnosis vs F507
## 2025-02-17 19:53:10.748182 INFO::Creating boxplot for categorical data, diagnosis vs F671
## 2025-02-17 19:53:10.956764 INFO::Creating boxplot for categorical data, diagnosis vs F894
## 2025-02-17 19:53:11.229423 INFO::Creating boxplot for categorical data, diagnosis vs F345
## 2025-02-17 19:53:11.399999 INFO::Creating boxplot for categorical data, diagnosis vs F801
## 2025-02-17 19:53:11.623312 INFO::Creating boxplot for categorical data, diagnosis vs F194
## 2025-02-17 19:53:11.84779 INFO::Creating boxplot for categorical data, diagnosis vs F195
## 2025-02-17 19:53:12.078249 INFO::Creating boxplot for categorical data, diagnosis vs F119
## 2025-02-17 19:53:12.288699 INFO::Creating boxplot for categorical data, diagnosis vs F120
## 2025-02-17 19:53:12.47728 INFO::Creating boxplot for categorical data, diagnosis vs F231
## 2025-02-17 19:53:12.765432 INFO::Creating boxplot for categorical data, diagnosis vs F311
## 2025-02-17 19:53:13.032261 INFO::Creating boxplot for categorical data, diagnosis vs F646
## 2025-02-17 19:53:13.209724 INFO::Creating boxplot for categorical data, diagnosis vs F814
## 2025-02-17 19:53:13.39004 INFO::Creating boxplot for categorical data, diagnosis vs F510
## 2025-02-17 19:53:13.624059 INFO::Creating boxplot for categorical data, diagnosis vs F398
## 2025-02-17 19:53:13.838502 INFO::Creating boxplot for categorical data, diagnosis vs F60
## 2025-02-17 19:53:14.095458 INFO::Creating boxplot for categorical data, diagnosis vs F153
## 2025-02-17 19:53:14.310681 INFO::Creating boxplot for categorical data, diagnosis vs F858
## 2025-02-17 19:53:14.504637 INFO::Creating boxplot for categorical data, diagnosis vs F775
## 2025-02-17 19:53:14.683093 INFO::Creating boxplot for categorical data, diagnosis vs F684
## 2025-02-17 19:53:14.863941 INFO::Creating boxplot for categorical data, diagnosis vs F384
## 2025-02-17 19:53:15.06853 INFO::Creating boxplot for categorical data, diagnosis vs F134
## 2025-02-17 19:53:15.257723 INFO::Creating boxplot for categorical data, diagnosis vs F670
## 2025-02-17 19:53:15.433459 INFO::Creating boxplot for categorical data, diagnosis vs F632
## 2025-02-17 19:53:15.65081 INFO::Creating boxplot for categorical data, diagnosis vs F721
## 2025-02-17 19:53:15.846972 INFO::Creating boxplot for categorical data, diagnosis vs F700
## 2025-02-17 19:53:16.096099 INFO::Creating boxplot for categorical data, diagnosis vs F376
## 2025-02-17 19:53:16.354802 INFO::Creating boxplot for categorical data, diagnosis vs F301
## 2025-02-17 19:53:16.528515 INFO::Creating boxplot for categorical data, diagnosis vs F27
## 2025-02-17 19:53:16.71563 INFO::Creating boxplot for categorical data, diagnosis vs F280
## 2025-02-17 19:53:16.899696 INFO::Creating boxplot for categorical data, diagnosis vs F391
## 2025-02-17 19:53:17.077782 INFO::Creating boxplot for categorical data, diagnosis vs F725
## 2025-02-17 19:53:17.364557 INFO::Creating boxplot for categorical data, diagnosis vs F186
## 2025-02-17 19:53:17.536974 INFO::Creating boxplot for categorical data, diagnosis vs F481
## 2025-02-17 19:53:17.704988 INFO::Creating boxplot for categorical data, diagnosis vs F333
## 2025-02-17 19:53:17.880989 INFO::Creating boxplot for categorical data, diagnosis vs F720
## 2025-02-17 19:53:18.048885 INFO::Creating boxplot for categorical data, diagnosis vs F520
## 2025-02-17 19:53:18.254631 INFO::Creating boxplot for categorical data, diagnosis vs F129
## 2025-02-17 19:53:18.432428 INFO::Creating boxplot for categorical data, diagnosis vs F204
## 2025-02-17 19:53:18.612754 INFO::Creating boxplot for categorical data, diagnosis vs F259
## 2025-02-17 19:53:18.800761 INFO::Creating boxplot for categorical data, diagnosis vs F831
## 2025-02-17 19:53:19.000185 INFO::Creating boxplot for categorical data, diagnosis vs F891
## 2025-02-17 19:53:19.287924 INFO::Creating boxplot for categorical data, diagnosis vs F262
## 2025-02-17 19:53:19.460774 INFO::Creating boxplot for categorical data, diagnosis vs F592
## 2025-02-17 19:53:19.716695 INFO::Creating boxplot for categorical data, diagnosis vs F343
## 2025-02-17 19:53:19.950258 INFO::Creating boxplot for categorical data, diagnosis vs F505
## 2025-02-17 19:53:20.181089 INFO::Creating boxplot for categorical data, diagnosis vs F622
## 2025-02-17 19:53:20.433574 INFO::Creating boxplot for categorical data, diagnosis vs F348
## 2025-02-17 19:53:20.6987 INFO::Creating boxplot for categorical data, diagnosis vs F133
## 2025-02-17 19:53:20.981713 INFO::Creating boxplot for categorical data, diagnosis vs F371
## 2025-02-17 19:53:21.157045 INFO::Creating boxplot for categorical data, diagnosis vs F113
## 2025-02-17 19:53:21.328997 INFO::Creating boxplot for categorical data, diagnosis vs F336
## 2025-02-17 19:53:21.51421 INFO::Creating boxplot for categorical data, diagnosis vs F399
## 2025-02-17 19:53:21.726565 INFO::Creating boxplot for categorical data, diagnosis vs F416
## 2025-02-17 19:53:21.903037 INFO::Creating boxplot for categorical data, diagnosis vs F657
## 2025-02-17 19:53:22.085935 INFO::Creating boxplot for categorical data, diagnosis vs F241
## 2025-02-17 19:53:22.260565 INFO::Creating boxplot for categorical data, diagnosis vs F95
## 2025-02-17 19:53:22.463079 INFO::Creating boxplot for categorical data, diagnosis vs F128
## 2025-02-17 19:53:22.671109 INFO::Creating boxplot for categorical data, diagnosis vs F595
## 2025-02-17 19:53:22.85046 INFO::Creating boxplot for categorical data, diagnosis vs F428
## 2025-02-17 19:53:23.037956 INFO::Creating boxplot for categorical data, diagnosis vs F796
## 2025-02-17 19:53:23.247847 INFO::Creating boxplot for categorical data, diagnosis vs F709
## 2025-02-17 19:53:23.435455 INFO::Creating boxplot for categorical data, diagnosis vs F602
## 2025-02-17 19:53:23.650393 INFO::Creating boxplot for categorical data, diagnosis vs F293
## 2025-02-17 19:53:23.845175 INFO::Creating boxplot for categorical data, diagnosis vs F867
## 2025-02-17 19:53:24.080578 INFO::Creating boxplot for categorical data, diagnosis vs F108
## 2025-02-17 19:53:24.254533 INFO::Creating boxplot for categorical data, diagnosis vs F846
## 2025-02-17 19:53:24.426609 INFO::Creating boxplot for categorical data, diagnosis vs F633
## 2025-02-17 19:53:24.626483 INFO::Creating boxplot for categorical data, diagnosis vs F564
## 2025-02-17 19:53:24.801187 INFO::Creating boxplot for categorical data, diagnosis vs F183
## 2025-02-17 19:53:24.968445 INFO::Creating boxplot for categorical data, diagnosis vs F647
## 2025-02-17 19:53:25.143922 INFO::Creating boxplot for categorical data, diagnosis vs F288
## 2025-02-17 19:53:25.349204 INFO::Creating boxplot for categorical data, diagnosis vs F159
## 2025-02-17 19:53:26.381394 INFO::Creating boxplot for categorical data, diagnosis vs F638
## 2025-02-17 19:53:26.729986 INFO::Creating boxplot for categorical data, diagnosis vs F484
## 2025-02-17 19:53:26.903976 INFO::Creating boxplot for categorical data, diagnosis vs F20
## 2025-02-17 19:53:27.088454 INFO::Creating boxplot for categorical data, diagnosis vs F19
## 2025-02-17 19:53:27.275973 INFO::Creating boxplot for categorical data, diagnosis vs F897
## 2025-02-17 19:53:27.451641 INFO::Creating boxplot for categorical data, diagnosis vs F442
## 2025-02-17 19:53:27.635812 INFO::Creating boxplot for categorical data, diagnosis vs F372
## 2025-02-17 19:53:27.813513 INFO::Creating boxplot for categorical data, diagnosis vs F771
## 2025-02-17 19:53:27.996178 INFO::Creating boxplot for categorical data, diagnosis vs F370
## 2025-02-17 19:53:28.164796 INFO::Creating boxplot for categorical data, diagnosis vs F620
## 2025-02-17 19:53:28.396899 INFO::Creating boxplot for categorical data, diagnosis vs F753
## 2025-02-17 19:53:28.69736 INFO::Creating boxplot for categorical data, diagnosis vs F568
## 2025-02-17 19:53:28.984288 INFO::Creating boxplot for categorical data, diagnosis vs F312
## 2025-02-17 19:53:29.249489 INFO::Creating boxplot for categorical data, diagnosis vs F485
## 2025-02-17 19:53:29.540175 INFO::Creating boxplot for categorical data, diagnosis vs F627
## 2025-02-17 19:53:29.823693 INFO::Creating boxplot for categorical data, diagnosis vs F72
## 2025-02-17 19:53:30.116923 INFO::Creating boxplot for categorical data, diagnosis vs F575
## 2025-02-17 19:53:30.393222 INFO::Creating boxplot for categorical data, diagnosis vs F332
## 2025-02-17 19:53:30.586451 INFO::Creating boxplot for categorical data, diagnosis vs F674
## 2025-02-17 19:53:30.867796 INFO::Creating boxplot for categorical data, diagnosis vs F537
## 2025-02-17 19:53:31.152853 INFO::Creating boxplot for categorical data, diagnosis vs F839
## 2025-02-17 19:53:31.425292 INFO::Creating boxplot for categorical data, diagnosis vs F715
## 2025-02-17 19:53:31.606243 INFO::Creating boxplot for categorical data, diagnosis vs F768
## 2025-02-17 19:53:31.770936 INFO::Creating boxplot for categorical data, diagnosis vs F202
## 2025-02-17 19:53:31.93664 INFO::Creating boxplot for categorical data, diagnosis vs F756
## 2025-02-17 19:53:32.099901 INFO::Creating boxplot for categorical data, diagnosis vs F536
## 2025-02-17 19:53:32.26953 INFO::Creating boxplot for categorical data, diagnosis vs F677
## 2025-02-17 19:53:32.433694 INFO::Creating boxplot for categorical data, diagnosis vs F435
## 2025-02-17 19:53:32.607939 INFO::Creating boxplot for categorical data, diagnosis vs F574
## 2025-02-17 19:53:32.766912 INFO::Creating boxplot for categorical data, diagnosis vs F70
## 2025-02-17 19:53:32.933695 INFO::Creating boxplot for categorical data, diagnosis vs F146
## 2025-02-17 19:53:33.097291 INFO::Creating boxplot for categorical data, diagnosis vs F236
## 2025-02-17 19:53:33.277627 INFO::Creating boxplot for categorical data, diagnosis vs F527
## 2025-02-17 19:53:33.454019 INFO::Creating boxplot for categorical data, diagnosis vs F624
## 2025-02-17 19:53:33.617094 INFO::Creating boxplot for categorical data, diagnosis vs F426
## 2025-02-17 19:53:33.781917 INFO::Creating boxplot for categorical data, diagnosis vs F880
## 2025-02-17 19:53:33.946618 INFO::Creating boxplot for categorical data, diagnosis vs F549
## 2025-02-17 19:53:34.11429 INFO::Creating boxplot for categorical data, diagnosis vs F49
## 2025-02-17 19:53:34.297452 INFO::Creating boxplot for categorical data, diagnosis vs F67
## 2025-02-17 19:53:34.460231 INFO::Creating boxplot for categorical data, diagnosis vs F491
## 2025-02-17 19:53:34.628487 INFO::Creating boxplot for categorical data, diagnosis vs F174
## 2025-02-17 19:53:34.793379 INFO::Creating boxplot for categorical data, diagnosis vs F254
## 2025-02-17 19:53:34.957865 INFO::Creating boxplot for categorical data, diagnosis vs F112
## 2025-02-17 19:53:35.124904 INFO::Creating boxplot for categorical data, diagnosis vs F235
## 2025-02-17 19:53:35.389451 INFO::Creating boxplot for categorical data, diagnosis vs F833
## 2025-02-17 19:53:35.657304 INFO::Creating boxplot for categorical data, diagnosis vs F752
## 2025-02-17 19:53:35.860606 INFO::Creating boxplot for categorical data, diagnosis vs F792
## 2025-02-17 19:53:36.030203 INFO::Creating boxplot for categorical data, diagnosis vs F422
## 2025-02-17 19:53:36.228472 INFO::Creating boxplot for categorical data, diagnosis vs F6
## 2025-02-17 19:53:36.410292 INFO::Creating boxplot for categorical data, diagnosis vs F463
## 2025-02-17 19:53:36.574577 INFO::Creating boxplot for categorical data, diagnosis vs F706
## 2025-02-17 19:53:36.75015 INFO::Creating boxplot for categorical data, diagnosis vs F642
## 2025-02-17 19:53:36.935622 INFO::Creating boxplot for categorical data, diagnosis vs F65
## 2025-02-17 19:53:37.115718 INFO::Creating boxplot for categorical data, diagnosis vs F102
## 2025-02-17 19:53:37.304293 INFO::Creating boxplot for categorical data, diagnosis vs F783
## 2025-02-17 19:53:37.474397 INFO::Creating boxplot for categorical data, diagnosis vs F478
## 2025-02-17 19:53:37.642473 INFO::Creating boxplot for categorical data, diagnosis vs F889
## 2025-02-17 19:53:37.808442 INFO::Creating boxplot for categorical data, diagnosis vs F350
## 2025-02-17 19:53:37.980814 INFO::Creating boxplot for categorical data, diagnosis vs F681
## 2025-02-17 19:53:38.166768 INFO::Creating boxplot for categorical data, diagnosis vs F748
## 2025-02-17 19:53:38.351106 INFO::Creating boxplot for categorical data, diagnosis vs F762
## 2025-02-17 19:53:38.518303 INFO::Creating boxplot for categorical data, diagnosis vs F852
## 2025-02-17 19:53:38.679445 INFO::Creating boxplot for categorical data, diagnosis vs F180
## 2025-02-17 19:53:38.84736 INFO::Creating boxplot for categorical data, diagnosis vs F248
## 2025-02-17 19:53:39.0094 INFO::Creating boxplot for categorical data, diagnosis vs F759
## 2025-02-17 19:53:39.209701 INFO::Creating boxplot for categorical data, diagnosis vs F824
## 2025-02-17 19:53:39.38532 INFO::Creating boxplot for categorical data, diagnosis vs F145
## 2025-02-17 19:53:39.554254 INFO::Creating boxplot for categorical data, diagnosis vs F16
## 2025-02-17 19:53:39.732626 INFO::Creating boxplot for categorical data, diagnosis vs F169
## 2025-02-17 19:53:39.908511 INFO::Creating boxplot for categorical data, diagnosis vs F392
## 2025-02-17 19:53:40.12121 INFO::Creating boxplot for categorical data, diagnosis vs F468
## 2025-02-17 19:53:40.37802 INFO::Creating boxplot for categorical data, diagnosis vs F476
## 2025-02-17 19:53:40.629061 INFO::Creating boxplot for categorical data, diagnosis vs F699
## 2025-02-17 19:53:40.88015 INFO::Creating boxplot for categorical data, diagnosis vs F735
## 2025-02-17 19:53:41.132823 INFO::Creating boxplot for categorical data, diagnosis vs F182
## 2025-02-17 19:53:41.315402 INFO::Creating boxplot for categorical data, diagnosis vs F64
## 2025-02-17 19:53:41.518598 INFO::Creating boxplot for categorical data, diagnosis vs F203
## 2025-02-17 19:53:41.713402 INFO::Creating boxplot for categorical data, diagnosis vs F877
## 2025-02-17 19:53:41.881384 INFO::Creating boxplot for categorical data, diagnosis vs F433
## 2025-02-17 19:53:42.057959 INFO::Creating boxplot for categorical data, diagnosis vs F739
## 2025-02-17 19:53:42.242509 INFO::Creating boxplot for categorical data, diagnosis vs F749
## 2025-02-17 19:53:42.423633 INFO::Creating boxplot for categorical data, diagnosis vs F382
## 2025-02-17 19:53:42.585958 INFO::Creating boxplot for categorical data, diagnosis vs F162
## 2025-02-17 19:53:42.769379 INFO::Creating boxplot for categorical data, diagnosis vs F438
## 2025-02-17 19:53:42.940194 INFO::Creating boxplot for categorical data, diagnosis vs F360
## 2025-02-17 19:53:43.112468 INFO::Creating boxplot for categorical data, diagnosis vs F56
## 2025-02-17 19:53:43.302863 INFO::Creating boxplot for categorical data, diagnosis vs F529
## 2025-02-17 19:53:43.481261 INFO::Creating boxplot for categorical data, diagnosis vs F48
## 2025-02-17 19:53:43.66065 INFO::Creating boxplot for categorical data, diagnosis vs F826
## 2025-02-17 19:53:43.830866 INFO::Creating boxplot for categorical data, diagnosis vs F488
## 2025-02-17 19:53:44.007337 INFO::Creating boxplot for categorical data, diagnosis vs F309
## 2025-02-17 19:53:44.241345 INFO::Creating boxplot for categorical data, diagnosis vs F834
## 2025-02-17 19:53:44.423916 INFO::Creating boxplot for categorical data, diagnosis vs F449
## 2025-02-17 19:53:44.588654 INFO::Creating boxplot for categorical data, diagnosis vs F77
## 2025-02-17 19:53:44.750644 INFO::Creating boxplot for categorical data, diagnosis vs F365
## 2025-02-17 19:53:44.918849 INFO::Creating boxplot for categorical data, diagnosis vs F346
## 2025-02-17 19:53:45.092288 INFO::Creating boxplot for categorical data, diagnosis vs F654
## 2025-02-17 19:53:45.273894 INFO::Creating boxplot for categorical data, diagnosis vs F79
## 2025-02-17 19:53:45.457849 INFO::Creating boxplot for categorical data, diagnosis vs F785
## 2025-02-17 19:53:45.627869 INFO::Creating boxplot for categorical data, diagnosis vs F415
## 2025-02-17 19:53:45.800234 INFO::Creating boxplot for categorical data, diagnosis vs F466
## 2025-02-17 19:53:45.970111 INFO::Creating boxplot for categorical data, diagnosis vs F643
## 2025-02-17 19:53:46.239192 INFO::Creating boxplot for categorical data, diagnosis vs F160
## 2025-02-17 19:53:46.521381 INFO::Creating boxplot for categorical data, diagnosis vs F69
## 2025-02-17 19:53:46.792054 INFO::Creating boxplot for categorical data, diagnosis vs F498
## 2025-02-17 19:53:47.065337 INFO::Creating boxplot for categorical data, diagnosis vs F207
## 2025-02-17 19:53:47.364993 INFO::Creating boxplot for categorical data, diagnosis vs F679
## 2025-02-17 19:53:47.637241 INFO::Creating boxplot for categorical data, diagnosis vs F618
## 2025-02-17 19:53:47.881048 INFO::Creating boxplot for categorical data, diagnosis vs F255
## 2025-02-17 19:53:48.154128 INFO::Creating boxplot for categorical data, diagnosis vs F267
## 2025-02-17 19:53:48.418794 INFO::Creating boxplot for categorical data, diagnosis vs F143
## 2025-02-17 19:53:48.69077 INFO::Creating boxplot for categorical data, diagnosis vs F286
## 2025-02-17 19:53:48.932287 INFO::Creating boxplot for categorical data, diagnosis vs F562
## 2025-02-17 19:53:49.14423 INFO::Creating boxplot for categorical data, diagnosis vs F100
## 2025-02-17 19:53:49.338256 INFO::Creating boxplot for categorical data, diagnosis vs F374
## 2025-02-17 19:53:49.569695 INFO::Creating boxplot for categorical data, diagnosis vs F535
## 2025-02-17 19:53:49.749201 INFO::Creating boxplot for categorical data, diagnosis vs F658
## 2025-02-17 19:53:50.004489 INFO::Creating boxplot for categorical data, diagnosis vs F707
## 2025-02-17 19:53:50.260003 INFO::Creating boxplot for categorical data, diagnosis vs F325
## 2025-02-17 19:53:50.435841 INFO::Creating boxplot for categorical data, diagnosis vs F89
## 2025-02-17 19:53:50.622339 INFO::Creating boxplot for categorical data, diagnosis vs F214
## 2025-02-17 19:53:50.857053 INFO::Creating boxplot for categorical data, diagnosis vs F578
## 2025-02-17 19:53:51.092886 INFO::Creating boxplot for categorical data, diagnosis vs F790
## 2025-02-17 19:53:51.36266 INFO::Creating boxplot for categorical data, diagnosis vs F265
## 2025-02-17 19:53:51.598785 INFO::Creating boxplot for categorical data, diagnosis vs F253
## 2025-02-17 19:53:51.828574 INFO::Creating boxplot for categorical data, diagnosis vs F294
## 2025-02-17 19:53:52.063076 INFO::Creating boxplot for categorical data, diagnosis vs F410
## 2025-02-17 19:53:52.370763 INFO::Creating boxplot for categorical data, diagnosis vs F614
## 2025-02-17 19:53:52.665979 INFO::Creating boxplot for categorical data, diagnosis vs F764
## 2025-02-17 19:53:52.928072 INFO::Creating boxplot for categorical data, diagnosis vs F59
## 2025-02-17 19:53:53.12435 INFO::Creating boxplot for categorical data, diagnosis vs F675
## 2025-02-17 19:53:53.311073 INFO::Creating boxplot for categorical data, diagnosis vs F441
## 2025-02-17 19:53:53.500885 INFO::Creating boxplot for categorical data, diagnosis vs F193
## 2025-02-17 19:53:53.733414 INFO::Creating boxplot for categorical data, diagnosis vs F689
## 2025-02-17 19:53:53.983947 INFO::Creating boxplot for categorical data, diagnosis vs F249
## 2025-02-17 19:53:54.22575 INFO::Creating boxplot for categorical data, diagnosis vs F821
## 2025-02-17 19:53:55.392928 INFO::Creating boxplot for categorical data, diagnosis vs F351
## 2025-02-17 19:53:55.567999 INFO::Creating boxplot for categorical data, diagnosis vs F66
## 2025-02-17 19:53:55.734473 INFO::Creating boxplot for categorical data, diagnosis vs F413
## 2025-02-17 19:53:55.918374 INFO::Creating boxplot for categorical data, diagnosis vs F172
## 2025-02-17 19:53:56.097268 INFO::Creating boxplot for categorical data, diagnosis vs F317
## 2025-02-17 19:53:56.27756 INFO::Creating boxplot for categorical data, diagnosis vs F167
## 2025-02-17 19:53:56.517434 INFO::Creating boxplot for categorical data, diagnosis vs F229
## 2025-02-17 19:53:56.779248 INFO::Creating boxplot for categorical data, diagnosis vs F243
## 2025-02-17 19:53:57.027036 INFO::Creating boxplot for categorical data, diagnosis vs F732
## 2025-02-17 19:53:57.316952 INFO::Creating boxplot for categorical data, diagnosis vs F467
## 2025-02-17 19:53:57.605065 INFO::Creating boxplot for categorical data, diagnosis vs F474
## 2025-02-17 19:53:57.859978 INFO::Creating boxplot for categorical data, diagnosis vs F156
## 2025-02-17 19:53:58.109421 INFO::Creating boxplot for categorical data, diagnosis vs F786
## 2025-02-17 19:53:58.305543 INFO::Creating boxplot for categorical data, diagnosis vs F216
## 2025-02-17 19:53:58.629417 INFO::Creating boxplot for categorical data, diagnosis vs F85
## 2025-02-17 19:53:58.885155 INFO::Creating boxplot for categorical data, diagnosis vs F621
## 2025-02-17 19:53:59.067105 INFO::Creating boxplot for categorical data, diagnosis vs F558
## 2025-02-17 19:53:59.323351 INFO::Creating boxplot for categorical data, diagnosis vs F582
## 2025-02-17 19:53:59.820364 INFO::Creating boxplot for categorical data, diagnosis vs F898
## 2025-02-17 19:54:00.117334 INFO::Creating boxplot for categorical data, diagnosis vs F402
## 2025-02-17 19:54:00.367229 INFO::Creating boxplot for categorical data, diagnosis vs F71
## 2025-02-17 19:54:00.554305 INFO::Creating boxplot for categorical data, diagnosis vs F99
## 2025-02-17 19:54:00.747363 INFO::Creating boxplot for categorical data, diagnosis vs F366
## 2025-02-17 19:54:00.923619 INFO::Creating boxplot for categorical data, diagnosis vs F778
## 2025-02-17 19:54:01.097052 INFO::Creating boxplot for categorical data, diagnosis vs F188
## 2025-02-17 19:54:01.326371 INFO::Creating boxplot for categorical data, diagnosis vs F857
## 2025-02-17 19:54:01.512386 INFO::Creating boxplot for categorical data, diagnosis vs F440
## 2025-02-17 19:54:01.706829 INFO::Creating boxplot for categorical data, diagnosis vs F799
## 2025-02-17 19:54:01.900741 INFO::Creating boxplot for categorical data, diagnosis vs F482
## 2025-02-17 19:54:02.073612 INFO::Creating boxplot for categorical data, diagnosis vs F212
## 2025-02-17 19:54:02.286775 INFO::Creating boxplot for categorical data, diagnosis vs F882
## 2025-02-17 19:54:02.478786 INFO::Creating boxplot for categorical data, diagnosis vs F599
## 2025-02-17 19:54:02.672428 INFO::Creating boxplot for categorical data, diagnosis vs F302
## 2025-02-17 19:54:02.848224 INFO::Creating boxplot for categorical data, diagnosis vs F543
## 2025-02-17 19:54:03.063468 INFO::Creating boxplot for categorical data, diagnosis vs F269
## 2025-02-17 19:54:03.266495 INFO::Creating boxplot for categorical data, diagnosis vs F650
## 2025-02-17 19:54:03.518579 INFO::Creating boxplot for categorical data, diagnosis vs F456
## 2025-02-17 19:54:03.708945 INFO::Creating boxplot for categorical data, diagnosis vs F573
## 2025-02-17 19:54:03.894605 INFO::Creating boxplot for categorical data, diagnosis vs F8
## 2025-02-17 19:54:04.1029 INFO::Creating boxplot for categorical data, diagnosis vs F810
## 2025-02-17 19:54:04.311999 INFO::Creating boxplot for categorical data, diagnosis vs F401
## 2025-02-17 19:54:04.547536 INFO::Creating boxplot for categorical data, diagnosis vs F606
## 2025-02-17 19:54:04.722937 INFO::Creating boxplot for categorical data, diagnosis vs F662
## 2025-02-17 19:54:04.900838 INFO::Creating boxplot for categorical data, diagnosis vs F765
## 2025-02-17 19:54:05.112797 INFO::Creating boxplot for categorical data, diagnosis vs F887
## 2025-02-17 19:54:05.314291 INFO::Creating boxplot for categorical data, diagnosis vs F770
## 2025-02-17 19:54:05.54836 INFO::Creating boxplot for categorical data, diagnosis vs F469
## 2025-02-17 19:54:05.732452 INFO::Creating boxplot for categorical data, diagnosis vs F86
## 2025-02-17 19:54:05.911443 INFO::Creating boxplot for categorical data, diagnosis vs F400
## 2025-02-17 19:54:06.097315 INFO::Creating boxplot for categorical data, diagnosis vs F579
## 2025-02-17 19:54:06.295071 INFO::Creating boxplot for categorical data, diagnosis vs F871
## 2025-02-17 19:54:06.516518 INFO::Creating boxplot for categorical data, diagnosis vs F37
## 2025-02-17 19:54:06.715535 INFO::Creating boxplot for categorical data, diagnosis vs F446
## 2025-02-17 19:54:06.889459 INFO::Creating boxplot for categorical data, diagnosis vs F218
## 2025-02-17 19:54:07.065936 INFO::Creating boxplot for categorical data, diagnosis vs F321
## 2025-02-17 19:54:07.249189 INFO::Creating boxplot for categorical data, diagnosis vs F487
## 2025-02-17 19:54:07.43299 INFO::Creating boxplot for categorical data, diagnosis vs F740
## 2025-02-17 19:54:07.64087 INFO::Creating boxplot for categorical data, diagnosis vs F141
## 2025-02-17 19:54:07.812136 INFO::Creating boxplot for categorical data, diagnosis vs F327
## 2025-02-17 19:54:07.981866 INFO::Creating boxplot for categorical data, diagnosis vs F196
## 2025-02-17 19:54:08.184153 INFO::Creating boxplot for categorical data, diagnosis vs F883
## 2025-02-17 19:54:08.461056 INFO::Creating boxplot for categorical data, diagnosis vs F279
## 2025-02-17 19:54:08.737285 INFO::Creating boxplot for categorical data, diagnosis vs F838
## 2025-02-17 19:54:08.91476 INFO::Creating boxplot for categorical data, diagnosis vs F451
## 2025-02-17 19:54:09.089602 INFO::Creating boxplot for categorical data, diagnosis vs F854
## 2025-02-17 19:54:09.267477 INFO::Creating boxplot for categorical data, diagnosis vs F434
## 2025-02-17 19:54:09.434226 INFO::Creating boxplot for categorical data, diagnosis vs F519
## 2025-02-17 19:54:09.705523 INFO::Creating boxplot for categorical data, diagnosis vs F694
## 2025-02-17 19:54:09.965168 INFO::Creating boxplot for categorical data, diagnosis vs F561
## 2025-02-17 19:54:10.240652 INFO::Creating boxplot for categorical data, diagnosis vs F10
## 2025-02-17 19:54:10.430911 INFO::Creating boxplot for categorical data, diagnosis vs F303
## 2025-02-17 19:54:10.606915 INFO::Creating boxplot for categorical data, diagnosis vs F512
## 2025-02-17 19:54:10.804394 INFO::Creating boxplot for categorical data, diagnosis vs F645
## 2025-02-17 19:54:10.983372 INFO::Creating boxplot for categorical data, diagnosis vs F793
## 2025-02-17 19:54:11.163668 INFO::Creating boxplot for categorical data, diagnosis vs F404
## 2025-02-17 19:54:11.36659 INFO::Creating boxplot for categorical data, diagnosis vs F362
## 2025-02-17 19:54:11.556836 INFO::Creating boxplot for categorical data, diagnosis vs F525
## 2025-02-17 19:54:11.728776 INFO::Creating boxplot for categorical data, diagnosis vs F742
## 2025-02-17 19:54:11.92841 INFO::Creating boxplot for categorical data, diagnosis vs F276
## 2025-02-17 19:54:12.092562 INFO::Creating boxplot for categorical data, diagnosis vs F499
## 2025-02-17 19:54:12.277581 INFO::Creating boxplot for categorical data, diagnosis vs F328
## 2025-02-17 19:54:12.454783 INFO::Creating boxplot for categorical data, diagnosis vs F787
## 2025-02-17 19:54:12.674284 INFO::Creating boxplot for categorical data, diagnosis vs F30
## 2025-02-17 19:54:12.991953 INFO::Creating boxplot for categorical data, diagnosis vs F122
## 2025-02-17 19:54:13.26659 INFO::Creating boxplot for categorical data, diagnosis vs F619
## 2025-02-17 19:54:13.523401 INFO::Creating boxplot for categorical data, diagnosis vs F572
## 2025-02-17 19:54:13.754972 INFO::Creating boxplot for categorical data, diagnosis vs F47
## 2025-02-17 19:54:13.955546 INFO::Creating boxplot for categorical data, diagnosis vs F570
## 2025-02-17 19:54:14.235588 INFO::Creating boxplot for categorical data, diagnosis vs F26
## 2025-02-17 19:54:14.422535 INFO::Creating boxplot for categorical data, diagnosis vs F252
## 2025-02-17 19:54:14.597111 INFO::Creating boxplot for categorical data, diagnosis vs F117
## 2025-02-17 19:54:14.780398 INFO::Creating boxplot for categorical data, diagnosis vs F683
## 2025-02-17 19:54:14.96283 INFO::Creating boxplot for categorical data, diagnosis vs F395
## 2025-02-17 19:54:15.164042 INFO::Creating boxplot for categorical data, diagnosis vs F822
## 2025-02-17 19:54:15.352531 INFO::Creating boxplot for categorical data, diagnosis vs F46
## 2025-02-17 19:54:15.538116 INFO::Creating boxplot for categorical data, diagnosis vs F154
## 2025-02-17 19:54:15.718169 INFO::Creating boxplot for categorical data, diagnosis vs F540
## 2025-02-17 19:54:15.88749 INFO::Creating boxplot for categorical data, diagnosis vs F884
## 2025-02-17 19:54:16.053793 INFO::Creating boxplot for categorical data, diagnosis vs F368
## 2025-02-17 19:54:16.267163 INFO::Creating boxplot for categorical data, diagnosis vs F607
## 2025-02-17 19:54:16.444019 INFO::Creating boxplot for categorical data, diagnosis vs F111
## 2025-02-17 19:54:16.616011 INFO::Creating boxplot for categorical data, diagnosis vs F745
## 2025-02-17 19:54:16.785675 INFO::Creating boxplot for categorical data, diagnosis vs F673
## 2025-02-17 19:54:16.960699 INFO::Creating boxplot for categorical data, diagnosis vs F92
## 2025-02-17 19:54:17.180918 INFO::Creating boxplot for categorical data, diagnosis vs F493
## 2025-02-17 19:54:17.385201 INFO::Creating boxplot for categorical data, diagnosis vs F835
## 2025-02-17 19:54:17.565889 INFO::Creating boxplot for categorical data, diagnosis vs F872
## 2025-02-17 19:54:17.735025 INFO::Creating boxplot for categorical data, diagnosis vs F879
## 2025-02-17 19:54:17.900485 INFO::Creating boxplot for categorical data, diagnosis vs F432
## 2025-02-17 19:54:18.089779 INFO::Creating boxplot for categorical data, diagnosis vs F518
## 2025-02-17 19:54:18.274621 INFO::Creating boxplot for categorical data, diagnosis vs F44
## 2025-02-17 19:54:18.449905 INFO::Creating boxplot for categorical data, diagnosis vs F240
## 2025-02-17 19:54:18.616267 INFO::Creating boxplot for categorical data, diagnosis vs F819
## 2025-02-17 19:54:18.784918 INFO::Creating boxplot for categorical data, diagnosis vs F411
## 2025-02-17 19:54:18.952683 INFO::Creating boxplot for categorical data, diagnosis vs F353
## 2025-02-17 19:54:19.142243 INFO::Creating boxplot for categorical data, diagnosis vs F763
## 2025-02-17 19:54:19.327422 INFO::Creating boxplot for categorical data, diagnosis vs F97
## 2025-02-17 19:54:19.50463 INFO::Creating boxplot for categorical data, diagnosis vs F40
## 2025-02-17 19:54:19.677126 INFO::Creating boxplot for categorical data, diagnosis vs F652
## 2025-02-17 19:54:19.846305 INFO::Creating boxplot for categorical data, diagnosis vs F789
## 2025-02-17 19:54:20.03808 INFO::Creating boxplot for categorical data, diagnosis vs F25
## 2025-02-17 19:54:20.222343 INFO::Creating boxplot for categorical data, diagnosis vs F256
## 2025-02-17 19:54:20.39484 INFO::Creating boxplot for categorical data, diagnosis vs F423
## 2025-02-17 19:54:20.56589 INFO::Creating boxplot for categorical data, diagnosis vs F594
## 2025-02-17 19:54:20.735516 INFO::Creating boxplot for categorical data, diagnosis vs F201
## 2025-02-17 19:54:21.016719 INFO::Creating boxplot for categorical data, diagnosis vs F813
## 2025-02-17 19:54:21.309531 INFO::Creating boxplot for categorical data, diagnosis vs F653
## 2025-02-17 19:54:21.563662 INFO::Creating boxplot for categorical data, diagnosis vs F524
## 2025-02-17 19:54:21.831873 INFO::Creating boxplot for categorical data, diagnosis vs F777
## 2025-02-17 19:54:22.071816 INFO::Creating boxplot for categorical data, diagnosis vs F226
## 2025-02-17 19:54:22.322566 INFO::Creating boxplot for categorical data, diagnosis vs F227
## 2025-02-17 19:54:22.658209 INFO::Creating boxplot for categorical data, diagnosis vs F521
## 2025-02-17 19:54:22.943931 INFO::Creating boxplot for categorical data, diagnosis vs F14
## 2025-02-17 19:54:23.187079 INFO::Creating boxplot for categorical data, diagnosis vs F310
## 2025-02-17 19:54:23.376107 INFO::Creating boxplot for categorical data, diagnosis vs F452
## 2025-02-17 19:54:23.550653 INFO::Creating boxplot for categorical data, diagnosis vs F52
## 2025-02-17 19:54:23.752012 INFO::Creating boxplot for categorical data, diagnosis vs F53
## 2025-02-17 19:54:23.94308 INFO::Creating boxplot for categorical data, diagnosis vs F844
## 2025-02-17 19:54:24.121352 INFO::Creating boxplot for categorical data, diagnosis vs F31
## 2025-02-17 19:54:24.317976 INFO::Creating boxplot for categorical data, diagnosis vs F795
## 2025-02-17 19:54:24.489762 INFO::Creating boxplot for categorical data, diagnosis vs F766
## 2025-02-17 19:54:24.660142 INFO::Creating boxplot for categorical data, diagnosis vs F342
## 2025-02-17 19:54:24.863132 INFO::Creating boxplot for categorical data, diagnosis vs F408
## 2025-02-17 19:54:25.106127 INFO::Creating boxplot for categorical data, diagnosis vs F282
## 2025-02-17 19:54:25.380442 INFO::Creating boxplot for categorical data, diagnosis vs F508
## 2025-02-17 19:54:25.664818 INFO::Creating boxplot for categorical data, diagnosis vs F805
## 2025-02-17 19:54:25.911979 INFO::Creating boxplot for categorical data, diagnosis vs F337
## 2025-02-17 19:54:26.128223 INFO::Creating boxplot for categorical data, diagnosis vs F820
## 2025-02-17 19:54:26.342948 INFO::Creating boxplot for categorical data, diagnosis vs F593
## 2025-02-17 19:54:26.638851 INFO::Creating boxplot for categorical data, diagnosis vs F701
## 2025-02-17 19:54:26.831372 INFO::Creating boxplot for categorical data, diagnosis vs F459
## 2025-02-17 19:54:27.003659 INFO::Creating boxplot for categorical data, diagnosis vs F305
## 2025-02-17 19:54:27.210454 INFO::Creating boxplot for categorical data, diagnosis vs F142
## 2025-02-17 19:54:27.391813 INFO::Creating boxplot for categorical data, diagnosis vs F534
## 2025-02-17 19:54:27.563664 INFO::Creating boxplot for categorical data, diagnosis vs F135
## 2025-02-17 19:54:27.735685 INFO::Creating boxplot for categorical data, diagnosis vs F702
## 2025-02-17 19:54:27.955231 INFO::Creating boxplot for categorical data, diagnosis vs F776
## 2025-02-17 19:54:28.18789 INFO::Creating boxplot for categorical data, diagnosis vs F295
## 2025-02-17 19:54:28.405438 INFO::Creating boxplot for categorical data, diagnosis vs F355
## 2025-02-17 19:54:28.576997 INFO::Creating boxplot for categorical data, diagnosis vs F797
## 2025-02-17 19:54:28.745871 INFO::Creating boxplot for categorical data, diagnosis vs F13
## 2025-02-17 19:54:28.910713 INFO::Creating boxplot for categorical data, diagnosis vs F356
## 2025-02-17 19:54:29.082548 INFO::Creating boxplot for categorical data, diagnosis vs F359
## 2025-02-17 19:54:29.294147 INFO::Creating boxplot for categorical data, diagnosis vs F121
## 2025-02-17 19:54:29.465633 INFO::Creating boxplot for categorical data, diagnosis vs F850
## 2025-02-17 19:54:29.648647 INFO::Creating boxplot for categorical data, diagnosis vs F899
## 2025-02-17 19:54:29.82623 INFO::Creating boxplot for categorical data, diagnosis vs F628
## 2025-02-17 19:54:30.003515 INFO::Creating boxplot for categorical data, diagnosis vs F843
## 2025-02-17 19:54:30.21209 INFO::Creating boxplot for categorical data, diagnosis vs F107
## 2025-02-17 19:54:30.391359 INFO::Creating boxplot for categorical data, diagnosis vs F287
## 2025-02-17 19:54:30.564417 INFO::Creating boxplot for categorical data, diagnosis vs F165
## 2025-02-17 19:54:30.731063 INFO::Creating boxplot for categorical data, diagnosis vs F557
## 2025-02-17 19:54:30.904257 INFO::Creating boxplot for categorical data, diagnosis vs F127
## 2025-02-17 19:54:31.103043 INFO::Creating boxplot for categorical data, diagnosis vs F299
## 2025-02-17 19:54:31.295801 INFO::Creating boxplot for categorical data, diagnosis vs F497
## 2025-02-17 19:54:31.468127 INFO::Creating boxplot for categorical data, diagnosis vs F711
## 2025-02-17 19:54:31.645772 INFO::Creating boxplot for categorical data, diagnosis vs F319
## 2025-02-17 19:54:31.814709 INFO::Creating boxplot for categorical data, diagnosis vs F271
## 2025-02-17 19:54:32.013427 INFO::Creating boxplot for categorical data, diagnosis vs F157
## 2025-02-17 19:54:32.197913 INFO::Creating boxplot for categorical data, diagnosis vs F560
## 2025-02-17 19:54:32.381841 INFO::Creating boxplot for categorical data, diagnosis vs F680
## 2025-02-17 19:54:32.558762 INFO::Creating boxplot for categorical data, diagnosis vs F580
## 2025-02-17 19:54:32.731165 INFO::Creating boxplot for categorical data, diagnosis vs F152
## 2025-02-17 19:54:32.918419 INFO::Creating boxplot for categorical data, diagnosis vs F12
## 2025-02-17 19:54:33.101596 INFO::Creating boxplot for categorical data, diagnosis vs F324
## 2025-02-17 19:54:33.278484 INFO::Creating boxplot for categorical data, diagnosis vs F893
## 2025-02-17 19:54:33.455287 INFO::Creating boxplot for categorical data, diagnosis vs F318
## 2025-02-17 19:54:33.699902 INFO::Creating boxplot for categorical data, diagnosis vs F784
## 2025-02-17 19:54:33.966468 INFO::Creating boxplot for categorical data, diagnosis vs F567
## 2025-02-17 19:54:34.281786 INFO::Creating boxplot for categorical data, diagnosis vs F457
## 2025-02-17 19:54:34.500943 INFO::Creating boxplot for categorical data, diagnosis vs F708
## 2025-02-17 19:54:34.684047 INFO::Creating boxplot for categorical data, diagnosis vs F669
## 2025-02-17 19:54:34.877271 INFO::Creating boxplot for categorical data, diagnosis vs F87
## 2025-02-17 19:54:37.820184 INFO::Plotting data for metadata number 2, antibiotics
## 2025-02-17 19:54:37.823215 INFO::Creating boxplot for categorical data, antibiotics vs F663
## 2025-02-17 19:54:38.073175 INFO::Creating boxplot for categorical data, antibiotics vs F838
## 2025-02-17 19:54:38.387132 INFO::Creating boxplot for categorical data, antibiotics vs F764
## 2025-02-17 19:54:38.649109 INFO::Creating boxplot for categorical data, antibiotics vs F880
## 2025-02-17 19:54:38.900107 INFO::Creating boxplot for categorical data, antibiotics vs F751
## 2025-02-17 19:54:39.151087 INFO::Creating boxplot for categorical data, antibiotics vs F288
## 2025-02-17 19:54:39.430949 INFO::Creating boxplot for categorical data, antibiotics vs F65
## 2025-02-17 19:54:39.756216 INFO::Creating boxplot for categorical data, antibiotics vs F742
## 2025-02-17 19:54:40.085216 INFO::Creating boxplot for categorical data, antibiotics vs F528
## 2025-02-17 19:54:40.397725 INFO::Creating boxplot for categorical data, antibiotics vs F790
## 2025-02-17 19:54:40.620749 INFO::Creating boxplot for categorical data, antibiotics vs F777
## 2025-02-17 19:54:40.808773 INFO::Creating boxplot for categorical data, antibiotics vs F178
## 2025-02-17 19:54:41.149568 INFO::Creating boxplot for categorical data, antibiotics vs F139
## 2025-02-17 19:54:41.414554 INFO::Creating boxplot for categorical data, antibiotics vs F202
## 2025-02-17 19:54:41.659315 INFO::Creating boxplot for categorical data, antibiotics vs F220
## 2025-02-17 19:54:41.969259 INFO::Creating boxplot for categorical data, antibiotics vs F397
## 2025-02-17 19:54:42.27442 INFO::Creating boxplot for categorical data, antibiotics vs F882
## 2025-02-17 19:54:42.552156 INFO::Creating boxplot for categorical data, antibiotics vs F446
## 2025-02-17 19:54:42.829346 INFO::Creating boxplot for categorical data, antibiotics vs F418
## 2025-02-17 19:54:43.071796 INFO::Creating boxplot for categorical data, antibiotics vs F133
## 2025-02-17 19:54:43.380994 INFO::Creating boxplot for categorical data, antibiotics vs F696
## 2025-02-17 19:54:43.668358 INFO::Creating boxplot for categorical data, antibiotics vs F548
## 2025-02-17 19:54:44.00003 INFO::Creating boxplot for categorical data, antibiotics vs F536
## 2025-02-17 19:54:44.300694 INFO::Creating boxplot for categorical data, antibiotics vs F194
## 2025-02-17 19:54:44.602947 INFO::Creating boxplot for categorical data, antibiotics vs F34
## 2025-02-17 19:54:44.918469 INFO::Creating boxplot for categorical data, antibiotics vs F153
## 2025-02-17 19:54:45.233048 INFO::Creating boxplot for categorical data, antibiotics vs F400
## 2025-02-17 19:54:45.515741 INFO::Creating boxplot for categorical data, antibiotics vs F794
## 2025-02-17 19:54:45.745556 INFO::Creating boxplot for categorical data, antibiotics vs F396
## 2025-02-17 19:54:45.954154 INFO::Creating boxplot for categorical data, antibiotics vs F182
## 2025-02-17 19:54:46.274271 INFO::Creating boxplot for categorical data, antibiotics vs F719
## 2025-02-17 19:54:46.581057 INFO::Creating boxplot for categorical data, antibiotics vs F109
## 2025-02-17 19:54:46.89036 INFO::Creating boxplot for categorical data, antibiotics vs F180
## 2025-02-17 19:54:47.222822 INFO::Creating boxplot for categorical data, antibiotics vs F552
## 2025-02-17 19:54:47.51624 INFO::Creating boxplot for categorical data, antibiotics vs F789
## 2025-02-17 19:54:47.73674 INFO::Creating boxplot for categorical data, antibiotics vs F893
## 2025-02-17 19:54:47.926889 INFO::Creating boxplot for categorical data, antibiotics vs F834
## 2025-02-17 19:54:48.133768 INFO::Creating boxplot for categorical data, antibiotics vs F889
## 2025-02-17 19:54:48.398405 INFO::Creating boxplot for categorical data, antibiotics vs F143
## 2025-02-17 19:54:48.701073 INFO::Creating boxplot for categorical data, antibiotics vs F224
## 2025-02-17 19:54:48.903104 INFO::Creating boxplot for categorical data, antibiotics vs F5
## 2025-02-17 19:54:49.11135 INFO::Creating boxplot for categorical data, antibiotics vs F873
## 2025-02-17 19:54:49.422898 INFO::Creating boxplot for categorical data, antibiotics vs F452
## 2025-02-17 19:54:49.719444 INFO::Creating boxplot for categorical data, antibiotics vs F681
## 2025-02-17 19:54:50.005941 INFO::Creating boxplot for categorical data, antibiotics vs F468
## 2025-02-17 19:54:50.291912 INFO::Creating boxplot for categorical data, antibiotics vs F731
## 2025-02-17 19:54:50.575793 INFO::Creating boxplot for categorical data, antibiotics vs F479
## 2025-02-17 19:54:50.89605 INFO::Creating boxplot for categorical data, antibiotics vs F520
## 2025-02-17 19:54:51.151407 INFO::Creating boxplot for categorical data, antibiotics vs F649
## 2025-02-17 19:54:51.385377 INFO::Creating boxplot for categorical data, antibiotics vs F259
## 2025-02-17 19:54:51.699152 INFO::Creating boxplot for categorical data, antibiotics vs F186
## 2025-02-17 19:54:51.938043 INFO::Creating boxplot for categorical data, antibiotics vs F312
## 2025-02-17 19:54:52.164257 INFO::Creating boxplot for categorical data, antibiotics vs F477
## 2025-02-17 19:54:52.372443 INFO::Creating boxplot for categorical data, antibiotics vs F4
## 2025-02-17 19:54:52.610206 INFO::Creating boxplot for categorical data, antibiotics vs F632
## 2025-02-17 19:54:52.926566 INFO::Creating boxplot for categorical data, antibiotics vs F31
## 2025-02-17 19:54:53.197558 INFO::Creating boxplot for categorical data, antibiotics vs F184
## 2025-02-17 19:54:53.505252 INFO::Creating boxplot for categorical data, antibiotics vs F7
## 2025-02-17 19:54:53.83067 INFO::Creating boxplot for categorical data, antibiotics vs F213
## 2025-02-17 19:54:54.141506 INFO::Creating boxplot for categorical data, antibiotics vs F691
## 2025-02-17 19:54:54.43529 INFO::Creating boxplot for categorical data, antibiotics vs F828
## 2025-02-17 19:54:54.764053 INFO::Creating boxplot for categorical data, antibiotics vs F831
## 2025-02-17 19:54:55.142436 INFO::Creating boxplot for categorical data, antibiotics vs F315
## 2025-02-17 19:54:55.479983 INFO::Creating boxplot for categorical data, antibiotics vs F159
## 2025-02-17 19:54:55.809317 INFO::Creating boxplot for categorical data, antibiotics vs F331
## 2025-02-17 19:54:56.146359 INFO::Creating boxplot for categorical data, antibiotics vs F757
## 2025-02-17 19:54:56.460878 INFO::Creating boxplot for categorical data, antibiotics vs F167
## 2025-02-17 19:54:56.737065 INFO::Creating boxplot for categorical data, antibiotics vs F85
## 2025-02-17 19:54:57.047451 INFO::Creating boxplot for categorical data, antibiotics vs F80
## 2025-02-17 19:54:57.367473 INFO::Creating boxplot for categorical data, antibiotics vs F105
## 2025-02-17 19:54:57.582634 INFO::Creating boxplot for categorical data, antibiotics vs F674
## 2025-02-17 19:54:57.880076 INFO::Creating boxplot for categorical data, antibiotics vs F50
## 2025-02-17 19:54:58.237299 INFO::Creating boxplot for categorical data, antibiotics vs F164
## 2025-02-17 19:54:58.523516 INFO::Creating boxplot for categorical data, antibiotics vs F840
## 2025-02-17 19:54:58.721954 INFO::Creating boxplot for categorical data, antibiotics vs F232
## 2025-02-17 19:54:58.915412 INFO::Creating boxplot for categorical data, antibiotics vs F872
## 2025-02-17 19:54:59.155331 INFO::Creating boxplot for categorical data, antibiotics vs F54
## 2025-02-17 19:54:59.495547 INFO::Creating boxplot for categorical data, antibiotics vs F365
## 2025-02-17 19:54:59.727129 INFO::Creating boxplot for categorical data, antibiotics vs F499
## 2025-02-17 19:54:59.92577 INFO::Creating boxplot for categorical data, antibiotics vs F510
## 2025-02-17 19:55:00.115294 INFO::Creating boxplot for categorical data, antibiotics vs F716
## 2025-02-17 19:55:00.366373 INFO::Creating boxplot for categorical data, antibiotics vs F454
## 2025-02-17 19:55:00.574051 INFO::Creating boxplot for categorical data, antibiotics vs F52
## 2025-02-17 19:55:00.869053 INFO::Creating boxplot for categorical data, antibiotics vs F273
## 2025-02-17 19:55:01.157793 INFO::Creating boxplot for categorical data, antibiotics vs F474
## 2025-02-17 19:55:01.373012 INFO::Creating boxplot for categorical data, antibiotics vs F267
## 2025-02-17 19:55:01.721813 INFO::Creating boxplot for categorical data, antibiotics vs F253
## 2025-02-17 19:55:01.913383 INFO::Creating boxplot for categorical data, antibiotics vs F247
## 2025-02-17 19:55:02.211857 INFO::Creating boxplot for categorical data, antibiotics vs F708
## 2025-02-17 19:55:02.520288 INFO::Creating boxplot for categorical data, antibiotics vs F438
## 2025-02-17 19:55:02.742011 INFO::Creating boxplot for categorical data, antibiotics vs F450
## 2025-02-17 19:55:03.106967 INFO::Creating boxplot for categorical data, antibiotics vs F666
## 2025-02-17 19:55:03.43565 INFO::Creating boxplot for categorical data, antibiotics vs F720
## 2025-02-17 19:55:03.744819 INFO::Creating boxplot for categorical data, antibiotics vs F48
## 2025-02-17 19:55:04.034083 INFO::Creating boxplot for categorical data, antibiotics vs F371
## 2025-02-17 19:55:04.317516 INFO::Creating boxplot for categorical data, antibiotics vs F423
## 2025-02-17 19:55:04.556456 INFO::Creating boxplot for categorical data, antibiotics vs F190
## 2025-02-17 19:55:04.845479 INFO::Creating boxplot for categorical data, antibiotics vs F351
## 2025-02-17 19:55:05.172256 INFO::Creating boxplot for categorical data, antibiotics vs F394
## 2025-02-17 19:55:05.501373 INFO::Creating boxplot for categorical data, antibiotics vs F581
## 2025-02-17 19:55:05.905648 INFO::Creating boxplot for categorical data, antibiotics vs F276
## 2025-02-17 19:55:06.20739 INFO::Creating boxplot for categorical data, antibiotics vs F608
## 2025-02-17 19:55:06.498396 INFO::Creating boxplot for categorical data, antibiotics vs F28
## 2025-02-17 19:55:06.739052 INFO::Creating boxplot for categorical data, antibiotics vs F805
## 2025-02-17 19:55:06.957371 INFO::Creating boxplot for categorical data, antibiotics vs F249
## 2025-02-17 19:55:07.280005 INFO::Creating boxplot for categorical data, antibiotics vs F776
## 2025-02-17 19:55:07.579661 INFO::Creating boxplot for categorical data, antibiotics vs F755
## 2025-02-17 19:55:07.871342 INFO::Creating boxplot for categorical data, antibiotics vs F68
## 2025-02-17 19:55:08.166166 INFO::Creating boxplot for categorical data, antibiotics vs F78
## 2025-02-17 19:55:08.473991 INFO::Creating boxplot for categorical data, antibiotics vs F381
## 2025-02-17 19:55:08.714115 INFO::Creating boxplot for categorical data, antibiotics vs F644
## 2025-02-17 19:55:08.974708 INFO::Creating boxplot for categorical data, antibiotics vs F358
## 2025-02-17 19:55:09.267383 INFO::Creating boxplot for categorical data, antibiotics vs F344
## 2025-02-17 19:55:09.459073 INFO::Creating boxplot for categorical data, antibiotics vs F209
## 2025-02-17 19:55:09.666735 INFO::Creating boxplot for categorical data, antibiotics vs F898
## 2025-02-17 19:55:09.895037 INFO::Creating boxplot for categorical data, antibiotics vs F51
## 2025-02-17 19:55:10.222333 INFO::Creating boxplot for categorical data, antibiotics vs F149
## 2025-02-17 19:55:10.530447 INFO::Creating boxplot for categorical data, antibiotics vs F108
## 2025-02-17 19:55:10.84653 INFO::Creating boxplot for categorical data, antibiotics vs F255
## 2025-02-17 19:55:11.095381 INFO::Creating boxplot for categorical data, antibiotics vs F823
## 2025-02-17 19:55:11.399168 INFO::Creating boxplot for categorical data, antibiotics vs F864
## 2025-02-17 19:55:11.609163 INFO::Creating boxplot for categorical data, antibiotics vs F214
## 2025-02-17 19:55:11.805331 INFO::Creating boxplot for categorical data, antibiotics vs F76
## 2025-02-17 19:55:12.1204 INFO::Creating boxplot for categorical data, antibiotics vs F575
## 2025-02-17 19:55:12.427991 INFO::Creating boxplot for categorical data, antibiotics vs F13
## 2025-02-17 19:55:12.755878 INFO::Creating boxplot for categorical data, antibiotics vs F389
## 2025-02-17 19:55:13.096045 INFO::Creating boxplot for categorical data, antibiotics vs F556
## 2025-02-17 19:55:13.342547 INFO::Creating boxplot for categorical data, antibiotics vs F49
## 2025-02-17 19:55:13.553259 INFO::Creating boxplot for categorical data, antibiotics vs F436
## 2025-02-17 19:55:13.789519 INFO::Creating boxplot for categorical data, antibiotics vs F378
## 2025-02-17 19:55:14.030902 INFO::Creating boxplot for categorical data, antibiotics vs F682
## 2025-02-17 19:55:14.24965 INFO::Creating boxplot for categorical data, antibiotics vs F47
## 2025-02-17 19:55:14.446142 INFO::Creating boxplot for categorical data, antibiotics vs F429
## 2025-02-17 19:55:14.640433 INFO::Creating boxplot for categorical data, antibiotics vs F588
## 2025-02-17 19:55:14.83136 INFO::Creating boxplot for categorical data, antibiotics vs F616
## 2025-02-17 19:55:15.054068 INFO::Creating boxplot for categorical data, antibiotics vs F323
## 2025-02-17 19:55:15.243588 INFO::Creating boxplot for categorical data, antibiotics vs F409
## 2025-02-17 19:55:15.434532 INFO::Creating boxplot for categorical data, antibiotics vs F326
## 2025-02-17 19:55:15.626544 INFO::Creating boxplot for categorical data, antibiotics vs F698
## 2025-02-17 19:55:15.81066 INFO::Creating boxplot for categorical data, antibiotics vs F567
## 2025-02-17 19:55:16.076587 INFO::Creating boxplot for categorical data, antibiotics vs F179
## 2025-02-17 19:55:16.356271 INFO::Creating boxplot for categorical data, antibiotics vs F787
## 2025-02-17 19:55:16.547387 INFO::Creating boxplot for categorical data, antibiotics vs F79
## 2025-02-17 19:55:16.738942 INFO::Creating boxplot for categorical data, antibiotics vs F335
## 2025-02-17 19:55:16.931164 INFO::Creating boxplot for categorical data, antibiotics vs F576
## 2025-02-17 19:55:17.15609 INFO::Creating boxplot for categorical data, antibiotics vs F667
## 2025-02-17 19:55:17.366999 INFO::Creating boxplot for categorical data, antibiotics vs F694
## 2025-02-17 19:55:17.559189 INFO::Creating boxplot for categorical data, antibiotics vs F297
## 2025-02-17 19:55:17.828818 INFO::Creating boxplot for categorical data, antibiotics vs F569
## 2025-02-17 19:55:18.05914 INFO::Creating boxplot for categorical data, antibiotics vs F138
## 2025-02-17 19:55:18.285675 INFO::Creating boxplot for categorical data, antibiotics vs F611
## 2025-02-17 19:55:18.485491 INFO::Creating boxplot for categorical data, antibiotics vs F810
## 2025-02-17 19:55:18.677233 INFO::Creating boxplot for categorical data, antibiotics vs F746
## 2025-02-17 19:55:18.941762 INFO::Creating boxplot for categorical data, antibiotics vs F23
## 2025-02-17 19:55:19.251728 INFO::Creating boxplot for categorical data, antibiotics vs F135
## 2025-02-17 19:55:19.589946 INFO::Creating boxplot for categorical data, antibiotics vs F411
## 2025-02-17 19:55:19.889106 INFO::Creating boxplot for categorical data, antibiotics vs F489
## 2025-02-17 19:55:20.212288 INFO::Creating boxplot for categorical data, antibiotics vs F492
## 2025-02-17 19:55:20.412793 INFO::Creating boxplot for categorical data, antibiotics vs F844
## 2025-02-17 19:55:20.592771 INFO::Creating boxplot for categorical data, antibiotics vs F586
## 2025-02-17 19:55:20.805348 INFO::Creating boxplot for categorical data, antibiotics vs F11
## 2025-02-17 19:55:20.994657 INFO::Creating boxplot for categorical data, antibiotics vs F900
## 2025-02-17 19:55:21.184271 INFO::Creating boxplot for categorical data, antibiotics vs F21
## 2025-02-17 19:55:21.365931 INFO::Creating boxplot for categorical data, antibiotics vs F736
## 2025-02-17 19:55:21.568513 INFO::Creating boxplot for categorical data, antibiotics vs F408
## 2025-02-17 19:55:21.782763 INFO::Creating boxplot for categorical data, antibiotics vs F788
## 2025-02-17 19:55:22.106768 INFO::Creating boxplot for categorical data, antibiotics vs F66
## 2025-02-17 19:55:22.38267 INFO::Creating boxplot for categorical data, antibiotics vs F493
## 2025-02-17 19:55:22.685485 INFO::Creating boxplot for categorical data, antibiotics vs F343
## 2025-02-17 19:55:22.926736 INFO::Creating boxplot for categorical data, antibiotics vs F352
## 2025-02-17 19:55:23.117247 INFO::Creating boxplot for categorical data, antibiotics vs F677
## 2025-02-17 19:55:23.375541 INFO::Creating boxplot for categorical data, antibiotics vs F816
## 2025-02-17 19:55:23.685215 INFO::Creating boxplot for categorical data, antibiotics vs F457
## 2025-02-17 19:55:23.917841 INFO::Creating boxplot for categorical data, antibiotics vs F330
## 2025-02-17 19:55:24.129238 INFO::Creating boxplot for categorical data, antibiotics vs F293
## 2025-02-17 19:55:24.323868 INFO::Creating boxplot for categorical data, antibiotics vs F725
## 2025-02-17 19:55:24.511113 INFO::Creating boxplot for categorical data, antibiotics vs F813
## 2025-02-17 19:55:24.699302 INFO::Creating boxplot for categorical data, antibiotics vs F295
## 2025-02-17 19:55:24.882774 INFO::Creating boxplot for categorical data, antibiotics vs F656
## 2025-02-17 19:55:25.162067 INFO::Creating boxplot for categorical data, antibiotics vs F669
## 2025-02-17 19:55:25.40091 INFO::Creating boxplot for categorical data, antibiotics vs F15
## 2025-02-17 19:55:25.58935 INFO::Creating boxplot for categorical data, antibiotics vs F419
## 2025-02-17 19:55:25.829328 INFO::Creating boxplot for categorical data, antibiotics vs F701
## 2025-02-17 19:55:26.059639 INFO::Creating boxplot for categorical data, antibiotics vs F176
## 2025-02-17 19:55:26.406234 INFO::Creating boxplot for categorical data, antibiotics vs F203
## 2025-02-17 19:55:26.715456 INFO::Creating boxplot for categorical data, antibiotics vs F501
## 2025-02-17 19:55:27.028944 INFO::Creating boxplot for categorical data, antibiotics vs F772
## 2025-02-17 19:55:27.245899 INFO::Creating boxplot for categorical data, antibiotics vs F488
## 2025-02-17 19:55:27.45541 INFO::Creating boxplot for categorical data, antibiotics vs F600
## 2025-02-17 19:55:27.6736 INFO::Creating boxplot for categorical data, antibiotics vs F768
## 2025-02-17 19:55:27.925641 INFO::Creating boxplot for categorical data, antibiotics vs F432
## 2025-02-17 19:55:28.218373 INFO::Creating boxplot for categorical data, antibiotics vs F26
## 2025-02-17 19:55:28.492533 INFO::Creating boxplot for categorical data, antibiotics vs F189
## 2025-02-17 19:55:28.699686 INFO::Creating boxplot for categorical data, antibiotics vs F200
## 2025-02-17 19:55:28.886294 INFO::Creating boxplot for categorical data, antibiotics vs F121
## 2025-02-17 19:55:29.089839 INFO::Creating boxplot for categorical data, antibiotics vs F624
## 2025-02-17 19:55:29.283219 INFO::Creating boxplot for categorical data, antibiotics vs F855
## 2025-02-17 19:55:29.588618 INFO::Creating boxplot for categorical data, antibiotics vs F380
## 2025-02-17 19:55:29.935401 INFO::Creating boxplot for categorical data, antibiotics vs F734
## 2025-02-17 19:55:30.210658 INFO::Creating boxplot for categorical data, antibiotics vs F16
## 2025-02-17 19:55:30.421563 INFO::Creating boxplot for categorical data, antibiotics vs F602
## 2025-02-17 19:55:30.603998 INFO::Creating boxplot for categorical data, antibiotics vs F210
## 2025-02-17 19:55:30.797471 INFO::Creating boxplot for categorical data, antibiotics vs F217
## 2025-02-17 19:55:31.066369 INFO::Creating boxplot for categorical data, antibiotics vs F640
## 2025-02-17 19:55:31.261414 INFO::Creating boxplot for categorical data, antibiotics vs F631
## 2025-02-17 19:55:31.456513 INFO::Creating boxplot for categorical data, antibiotics vs F32
## 2025-02-17 19:55:31.659002 INFO::Creating boxplot for categorical data, antibiotics vs F322
## 2025-02-17 19:55:31.879639 INFO::Creating boxplot for categorical data, antibiotics vs F476
## 2025-02-17 19:55:32.193568 INFO::Creating boxplot for categorical data, antibiotics vs F265
## 2025-02-17 19:55:32.406223 INFO::Creating boxplot for categorical data, antibiotics vs F283
## 2025-02-17 19:55:32.614394 INFO::Creating boxplot for categorical data, antibiotics vs F316
## 2025-02-17 19:55:32.849891 INFO::Creating boxplot for categorical data, antibiotics vs F465
## 2025-02-17 19:55:33.097798 INFO::Creating boxplot for categorical data, antibiotics vs F24
## 2025-02-17 19:55:33.339428 INFO::Creating boxplot for categorical data, antibiotics vs F38
## 2025-02-17 19:55:33.549643 INFO::Creating boxplot for categorical data, antibiotics vs F82
## 2025-02-17 19:55:33.754261 INFO::Creating boxplot for categorical data, antibiotics vs F86
## 2025-02-17 19:55:33.951038 INFO::Creating boxplot for categorical data, antibiotics vs F270
## 2025-02-17 19:55:34.148318 INFO::Creating boxplot for categorical data, antibiotics vs F485
## 2025-02-17 19:55:34.392952 INFO::Creating boxplot for categorical data, antibiotics vs F486
## 2025-02-17 19:55:34.667002 INFO::Creating boxplot for categorical data, antibiotics vs F399
## 2025-02-17 19:55:34.94836 INFO::Creating boxplot for categorical data, antibiotics vs F573
## 2025-02-17 19:55:35.198478 INFO::Creating boxplot for categorical data, antibiotics vs F877
## 2025-02-17 19:55:35.385461 INFO::Creating boxplot for categorical data, antibiotics vs F709
## 2025-02-17 19:55:35.652201 INFO::Creating boxplot for categorical data, antibiotics vs F227
## 2025-02-17 19:55:35.90492 INFO::Creating boxplot for categorical data, antibiotics vs F553
## 2025-02-17 19:55:36.187712 INFO::Creating boxplot for categorical data, antibiotics vs F123
## 2025-02-17 19:55:36.45551 INFO::Creating boxplot for categorical data, antibiotics vs F118
## 2025-02-17 19:55:36.66957 INFO::Creating boxplot for categorical data, antibiotics vs F605
## 2025-02-17 19:55:36.961116 INFO::Creating boxplot for categorical data, antibiotics vs F619
## 2025-02-17 19:55:37.223741 INFO::Creating boxplot for categorical data, antibiotics vs F830
## 2025-02-17 19:55:37.515161 INFO::Creating boxplot for categorical data, antibiotics vs F837
## 2025-02-17 19:55:37.830193 INFO::Creating boxplot for categorical data, antibiotics vs F12
## 2025-02-17 19:55:38.143823 INFO::Creating boxplot for categorical data, antibiotics vs F623
## 2025-02-17 19:55:38.48153 INFO::Creating boxplot for categorical data, antibiotics vs F806
## 2025-02-17 19:55:38.815545 INFO::Creating boxplot for categorical data, antibiotics vs F353
## 2025-02-17 19:55:39.129459 INFO::Creating boxplot for categorical data, antibiotics vs F829
## 2025-02-17 19:55:39.32494 INFO::Creating boxplot for categorical data, antibiotics vs F289
## 2025-02-17 19:55:39.518421 INFO::Creating boxplot for categorical data, antibiotics vs F93
## 2025-02-17 19:55:39.752418 INFO::Creating boxplot for categorical data, antibiotics vs F379
## 2025-02-17 19:55:39.950217 INFO::Creating boxplot for categorical data, antibiotics vs F370
## 2025-02-17 19:55:40.151725 INFO::Creating boxplot for categorical data, antibiotics vs F360
## 2025-02-17 19:55:40.348369 INFO::Creating boxplot for categorical data, antibiotics vs F710
## 2025-02-17 19:55:40.571216 INFO::Creating boxplot for categorical data, antibiotics vs F388
## 2025-02-17 19:55:40.814593 INFO::Creating boxplot for categorical data, antibiotics vs F796
## 2025-02-17 19:55:41.006351 INFO::Creating boxplot for categorical data, antibiotics vs F174
## 2025-02-17 19:55:41.220879 INFO::Creating boxplot for categorical data, antibiotics vs F601
## 2025-02-17 19:55:41.42138 INFO::Creating boxplot for categorical data, antibiotics vs F775
## 2025-02-17 19:55:41.639833 INFO::Creating boxplot for categorical data, antibiotics vs F836
## 2025-02-17 19:55:41.861489 INFO::Creating boxplot for categorical data, antibiotics vs F192
## 2025-02-17 19:55:42.191033 INFO::Creating boxplot for categorical data, antibiotics vs F463
## 2025-02-17 19:55:42.541264 INFO::Creating boxplot for categorical data, antibiotics vs F57
## 2025-02-17 19:55:42.80235 INFO::Creating boxplot for categorical data, antibiotics vs F658
## 2025-02-17 19:55:43.03587 INFO::Creating boxplot for categorical data, antibiotics vs F596
## 2025-02-17 19:55:43.245477 INFO::Creating boxplot for categorical data, antibiotics vs F218
## 2025-02-17 19:55:43.509794 INFO::Creating boxplot for categorical data, antibiotics vs F104
## 2025-02-17 19:55:43.738363 INFO::Creating boxplot for categorical data, antibiotics vs F466
## 2025-02-17 19:55:43.93386 INFO::Creating boxplot for categorical data, antibiotics vs F737
## 2025-02-17 19:55:44.159807 INFO::Creating boxplot for categorical data, antibiotics vs F487
## 2025-02-17 19:55:44.362937 INFO::Creating boxplot for categorical data, antibiotics vs F369
## 2025-02-17 19:55:44.595637 INFO::Creating boxplot for categorical data, antibiotics vs F584
## 2025-02-17 19:55:44.896502 INFO::Creating boxplot for categorical data, antibiotics vs F166
## 2025-02-17 19:55:45.106124 INFO::Creating boxplot for categorical data, antibiotics vs F822
## 2025-02-17 19:55:45.368697 INFO::Creating boxplot for categorical data, antibiotics vs F416
## 2025-02-17 19:55:45.58746 INFO::Creating boxplot for categorical data, antibiotics vs F70
## 2025-02-17 19:55:45.838604 INFO::Creating boxplot for categorical data, antibiotics vs F243
## 2025-02-17 19:55:46.091323 INFO::Creating boxplot for categorical data, antibiotics vs F498
## 2025-02-17 19:55:46.318583 INFO::Creating boxplot for categorical data, antibiotics vs F272
## 2025-02-17 19:55:46.588349 INFO::Creating boxplot for categorical data, antibiotics vs F846
## 2025-02-17 19:55:46.876026 INFO::Creating boxplot for categorical data, antibiotics vs F881
## 2025-02-17 19:55:47.177961 INFO::Creating boxplot for categorical data, antibiotics vs F280
## 2025-02-17 19:55:47.471679 INFO::Creating boxplot for categorical data, antibiotics vs F761
## 2025-02-17 19:55:47.785608 INFO::Creating boxplot for categorical data, antibiotics vs F781
## 2025-02-17 19:55:48.039169 INFO::Creating boxplot for categorical data, antibiotics vs F697
## 2025-02-17 19:55:48.245331 INFO::Creating boxplot for categorical data, antibiotics vs F890
## 2025-02-17 19:55:48.469588 INFO::Creating boxplot for categorical data, antibiotics vs F197
## 2025-02-17 19:55:48.780048 INFO::Creating boxplot for categorical data, antibiotics vs F826
## 2025-02-17 19:55:49.040404 INFO::Creating boxplot for categorical data, antibiotics vs F641
## 2025-02-17 19:55:49.386251 INFO::Creating boxplot for categorical data, antibiotics vs F700
## 2025-02-17 19:55:49.60143 INFO::Creating boxplot for categorical data, antibiotics vs F531
## 2025-02-17 19:55:49.895851 INFO::Creating boxplot for categorical data, antibiotics vs F660
## 2025-02-17 19:55:50.193756 INFO::Creating boxplot for categorical data, antibiotics vs F257
## 2025-02-17 19:55:50.52875 INFO::Creating boxplot for categorical data, antibiotics vs F136
## 2025-02-17 19:55:50.818451 INFO::Creating boxplot for categorical data, antibiotics vs F875
## 2025-02-17 19:55:51.017014 INFO::Creating boxplot for categorical data, antibiotics vs F160
## 2025-02-17 19:55:51.220243 INFO::Creating boxplot for categorical data, antibiotics vs F782
## 2025-02-17 19:55:51.419996 INFO::Creating boxplot for categorical data, antibiotics vs F642
## 2025-02-17 19:55:51.725588 INFO::Creating boxplot for categorical data, antibiotics vs F730
## 2025-02-17 19:55:51.985373 INFO::Creating boxplot for categorical data, antibiotics vs F679
## 2025-02-17 19:55:52.201207 INFO::Creating boxplot for categorical data, antibiotics vs F713
## 2025-02-17 19:55:52.450757 INFO::Creating boxplot for categorical data, antibiotics vs F821
## 2025-02-17 19:55:52.647089 INFO::Creating boxplot for categorical data, antibiotics vs F443
## 2025-02-17 19:55:52.914827 INFO::Creating boxplot for categorical data, antibiotics vs F729
## 2025-02-17 19:55:53.172157 INFO::Creating boxplot for categorical data, antibiotics vs F25
## 2025-02-17 19:55:53.406203 INFO::Creating boxplot for categorical data, antibiotics vs F338
## 2025-02-17 19:55:53.72624 INFO::Creating boxplot for categorical data, antibiotics vs F647
## 2025-02-17 19:55:53.917548 INFO::Creating boxplot for categorical data, antibiotics vs F817
## 2025-02-17 19:55:54.181649 INFO::Creating boxplot for categorical data, antibiotics vs F535
## 2025-02-17 19:55:54.382809 INFO::Creating boxplot for categorical data, antibiotics vs F634
## 2025-02-17 19:55:54.614077 INFO::Creating boxplot for categorical data, antibiotics vs F533
## 2025-02-17 19:55:54.860559 INFO::Creating boxplot for categorical data, antibiotics vs F808
## 2025-02-17 19:55:55.205521 INFO::Creating boxplot for categorical data, antibiotics vs F571
## 2025-02-17 19:55:55.535109 INFO::Creating boxplot for categorical data, antibiotics vs F529
## 2025-02-17 19:55:55.735829 INFO::Creating boxplot for categorical data, antibiotics vs F827
## 2025-02-17 19:55:55.935844 INFO::Creating boxplot for categorical data, antibiotics vs F107
## 2025-02-17 19:55:56.130432 INFO::Creating boxplot for categorical data, antibiotics vs F515
## 2025-02-17 19:55:57.196912 INFO::Creating boxplot for categorical data, antibiotics vs F305
## 2025-02-17 19:55:57.443773 INFO::Creating boxplot for categorical data, antibiotics vs F662
## 2025-02-17 19:55:57.760116 INFO::Creating boxplot for categorical data, antibiotics vs F310
## 2025-02-17 19:55:57.984853 INFO::Creating boxplot for categorical data, antibiotics vs F430
## 2025-02-17 19:55:58.179201 INFO::Creating boxplot for categorical data, antibiotics vs F173
## 2025-02-17 19:55:58.405257 INFO::Creating boxplot for categorical data, antibiotics vs F820
## 2025-02-17 19:55:58.716315 INFO::Creating boxplot for categorical data, antibiotics vs F743
## 2025-02-17 19:55:59.017337 INFO::Creating boxplot for categorical data, antibiotics vs F63
## 2025-02-17 19:55:59.29614 INFO::Creating boxplot for categorical data, antibiotics vs F215
## 2025-02-17 19:55:59.525486 INFO::Creating boxplot for categorical data, antibiotics vs F216
## 2025-02-17 19:55:59.748502 INFO::Creating boxplot for categorical data, antibiotics vs F245
## 2025-02-17 19:55:59.963539 INFO::Creating boxplot for categorical data, antibiotics vs F862
## 2025-02-17 19:56:00.163289 INFO::Creating boxplot for categorical data, antibiotics vs F541
## 2025-02-17 19:56:00.347755 INFO::Creating boxplot for categorical data, antibiotics vs F558
## 2025-02-17 19:56:00.532818 INFO::Creating boxplot for categorical data, antibiotics vs F633
## 2025-02-17 19:56:00.731356 INFO::Creating boxplot for categorical data, antibiotics vs F94
## 2025-02-17 19:56:00.913813 INFO::Creating boxplot for categorical data, antibiotics vs F574
## 2025-02-17 19:56:01.088595 INFO::Creating boxplot for categorical data, antibiotics vs F238
## 2025-02-17 19:56:01.290339 INFO::Creating boxplot for categorical data, antibiotics vs F815
## 2025-02-17 19:56:01.475606 INFO::Creating boxplot for categorical data, antibiotics vs F587
## 2025-02-17 19:56:01.676206 INFO::Creating boxplot for categorical data, antibiotics vs F464
## 2025-02-17 19:56:01.897043 INFO::Creating boxplot for categorical data, antibiotics vs F590
## 2025-02-17 19:56:02.104692 INFO::Creating boxplot for categorical data, antibiotics vs F124
## 2025-02-17 19:56:02.298055 INFO::Creating boxplot for categorical data, antibiotics vs F664
## 2025-02-17 19:56:02.492478 INFO::Creating boxplot for categorical data, antibiotics vs F100
## 2025-02-17 19:56:02.67195 INFO::Creating boxplot for categorical data, antibiotics vs F744
## 2025-02-17 19:56:02.943785 INFO::Creating boxplot for categorical data, antibiotics vs F444
## 2025-02-17 19:56:03.233517 INFO::Creating boxplot for categorical data, antibiotics vs F597
## 2025-02-17 19:56:03.528451 INFO::Creating boxplot for categorical data, antibiotics vs F650
## 2025-02-17 19:56:03.828973 INFO::Creating boxplot for categorical data, antibiotics vs F147
## 2025-02-17 19:56:04.1361 INFO::Creating boxplot for categorical data, antibiotics vs F363
## 2025-02-17 19:56:04.447887 INFO::Creating boxplot for categorical data, antibiotics vs F521
## 2025-02-17 19:56:04.752098 INFO::Creating boxplot for categorical data, antibiotics vs F412
## 2025-02-17 19:56:04.959265 INFO::Creating boxplot for categorical data, antibiotics vs F279
## 2025-02-17 19:56:05.267277 INFO::Creating boxplot for categorical data, antibiotics vs F225
## 2025-02-17 19:56:05.482461 INFO::Creating boxplot for categorical data, antibiotics vs F10
## 2025-02-17 19:56:05.732195 INFO::Creating boxplot for categorical data, antibiotics vs F481
## 2025-02-17 19:56:05.998672 INFO::Creating boxplot for categorical data, antibiotics vs F861
## 2025-02-17 19:56:06.17727 INFO::Creating boxplot for categorical data, antibiotics vs F888
## 2025-02-17 19:56:06.359838 INFO::Creating boxplot for categorical data, antibiotics vs F156
## 2025-02-17 19:56:06.539667 INFO::Creating boxplot for categorical data, antibiotics vs F857
## 2025-02-17 19:56:06.754053 INFO::Creating boxplot for categorical data, antibiotics vs F509
## 2025-02-17 19:56:06.942647 INFO::Creating boxplot for categorical data, antibiotics vs F244
## 2025-02-17 19:56:07.126023 INFO::Creating boxplot for categorical data, antibiotics vs F514
## 2025-02-17 19:56:07.307164 INFO::Creating boxplot for categorical data, antibiotics vs F196
## 2025-02-17 19:56:07.504758 INFO::Creating boxplot for categorical data, antibiotics vs F304
## 2025-02-17 19:56:07.713922 INFO::Creating boxplot for categorical data, antibiotics vs F833
## 2025-02-17 19:56:07.899019 INFO::Creating boxplot for categorical data, antibiotics vs F294
## 2025-02-17 19:56:08.142913 INFO::Creating boxplot for categorical data, antibiotics vs F550
## 2025-02-17 19:56:08.44274 INFO::Creating boxplot for categorical data, antibiotics vs F869
## 2025-02-17 19:56:08.627849 INFO::Creating boxplot for categorical data, antibiotics vs F364
## 2025-02-17 19:56:08.828988 INFO::Creating boxplot for categorical data, antibiotics vs F583
## 2025-02-17 19:56:09.00529 INFO::Creating boxplot for categorical data, antibiotics vs F441
## 2025-02-17 19:56:09.188377 INFO::Creating boxplot for categorical data, antibiotics vs F595
## 2025-02-17 19:56:09.371299 INFO::Creating boxplot for categorical data, antibiotics vs F35
## 2025-02-17 19:56:09.65985 INFO::Creating boxplot for categorical data, antibiotics vs F630
## 2025-02-17 19:56:09.979406 INFO::Creating boxplot for categorical data, antibiotics vs F401
## 2025-02-17 19:56:10.268168 INFO::Creating boxplot for categorical data, antibiotics vs F287
## 2025-02-17 19:56:10.54878 INFO::Creating boxplot for categorical data, antibiotics vs F250
## 2025-02-17 19:56:10.753411 INFO::Creating boxplot for categorical data, antibiotics vs F239
## 2025-02-17 19:56:10.940168 INFO::Creating boxplot for categorical data, antibiotics vs F88
## 2025-02-17 19:56:11.146063 INFO::Creating boxplot for categorical data, antibiotics vs F752
## 2025-02-17 19:56:11.326819 INFO::Creating boxplot for categorical data, antibiotics vs F539
## 2025-02-17 19:56:11.501584 INFO::Creating boxplot for categorical data, antibiotics vs F69
## 2025-02-17 19:56:11.680338 INFO::Creating boxplot for categorical data, antibiotics vs F126
## 2025-02-17 19:56:11.859442 INFO::Creating boxplot for categorical data, antibiotics vs F362
## 2025-02-17 19:56:12.04904 INFO::Creating boxplot for categorical data, antibiotics vs F753
## 2025-02-17 19:56:12.232041 INFO::Creating boxplot for categorical data, antibiotics vs F469
## 2025-02-17 19:56:12.409613 INFO::Creating boxplot for categorical data, antibiotics vs F14
## 2025-02-17 19:56:12.588543 INFO::Creating boxplot for categorical data, antibiotics vs F803
## 2025-02-17 19:56:12.781034 INFO::Creating boxplot for categorical data, antibiotics vs F814
## 2025-02-17 19:56:12.955624 INFO::Creating boxplot for categorical data, antibiotics vs F449
## 2025-02-17 19:56:13.132956 INFO::Creating boxplot for categorical data, antibiotics vs F494
## 2025-02-17 19:56:13.376918 INFO::Creating boxplot for categorical data, antibiotics vs F439
## 2025-02-17 19:56:13.558392 INFO::Creating boxplot for categorical data, antibiotics vs F686
## 2025-02-17 19:56:13.749655 INFO::Creating boxplot for categorical data, antibiotics vs F591
## 2025-02-17 19:56:13.928391 INFO::Creating boxplot for categorical data, antibiotics vs F735
## 2025-02-17 19:56:14.105898 INFO::Creating boxplot for categorical data, antibiotics vs F111
## 2025-02-17 19:56:14.337506 INFO::Creating boxplot for categorical data, antibiotics vs F346
## 2025-02-17 19:56:14.640618 INFO::Creating boxplot for categorical data, antibiotics vs F29
## 2025-02-17 19:56:14.896364 INFO::Creating boxplot for categorical data, antibiotics vs F376
## 2025-02-17 19:56:15.074492 INFO::Creating boxplot for categorical data, antibiotics vs F414
## 2025-02-17 19:56:15.262729 INFO::Creating boxplot for categorical data, antibiotics vs F555
## 2025-02-17 19:56:15.558854 INFO::Creating boxplot for categorical data, antibiotics vs F517
## 2025-02-17 19:56:15.738382 INFO::Creating boxplot for categorical data, antibiotics vs F544
## 2025-02-17 19:56:15.942385 INFO::Creating boxplot for categorical data, antibiotics vs F339
## 2025-02-17 19:56:16.245778 INFO::Creating boxplot for categorical data, antibiotics vs F689
## 2025-02-17 19:56:16.544223 INFO::Creating boxplot for categorical data, antibiotics vs F391
## 2025-02-17 19:56:16.761751 INFO::Creating boxplot for categorical data, antibiotics vs F502
## 2025-02-17 19:56:16.940098 INFO::Creating boxplot for categorical data, antibiotics vs F298
## 2025-02-17 19:56:17.15517 INFO::Creating boxplot for categorical data, antibiotics vs F337
## 2025-02-17 19:56:17.332724 INFO::Creating boxplot for categorical data, antibiotics vs F773
## 2025-02-17 19:56:17.505715 INFO::Creating boxplot for categorical data, antibiotics vs F592
## 2025-02-17 19:56:17.682515 INFO::Creating boxplot for categorical data, antibiotics vs F307
## 2025-02-17 19:56:17.85938 INFO::Creating boxplot for categorical data, antibiotics vs F115
## 2025-02-17 19:56:18.055441 INFO::Creating boxplot for categorical data, antibiotics vs F739
## 2025-02-17 19:56:18.256866 INFO::Creating boxplot for categorical data, antibiotics vs F433
## 2025-02-17 19:56:18.445601 INFO::Creating boxplot for categorical data, antibiotics vs F384
## 2025-02-17 19:56:18.624763 INFO::Creating boxplot for categorical data, antibiotics vs F750
## 2025-02-17 19:56:18.809208 INFO::Creating boxplot for categorical data, antibiotics vs F762
## 2025-02-17 19:56:19.030518 INFO::Creating boxplot for categorical data, antibiotics vs F277
## 2025-02-17 19:56:19.294241 INFO::Creating boxplot for categorical data, antibiotics vs F871
## 2025-02-17 19:56:19.502605 INFO::Creating boxplot for categorical data, antibiotics vs F839
## 2025-02-17 19:56:19.691841 INFO::Creating boxplot for categorical data, antibiotics vs F127
## 2025-02-17 19:56:19.868859 INFO::Creating boxplot for categorical data, antibiotics vs F554
## 2025-02-17 19:56:20.113792 INFO::Creating boxplot for categorical data, antibiotics vs F676
## 2025-02-17 19:56:20.300377 INFO::Creating boxplot for categorical data, antibiotics vs F568
## 2025-02-17 19:56:20.480537 INFO::Creating boxplot for categorical data, antibiotics vs F137
## 2025-02-17 19:56:20.657585 INFO::Creating boxplot for categorical data, antibiotics vs F131
## 2025-02-17 19:56:20.906954 INFO::Creating boxplot for categorical data, antibiotics vs F60
## 2025-02-17 19:56:21.24136 INFO::Creating boxplot for categorical data, antibiotics vs F98
## 2025-02-17 19:56:21.424767 INFO::Creating boxplot for categorical data, antibiotics vs F672
## 2025-02-17 19:56:21.627712 INFO::Creating boxplot for categorical data, antibiotics vs F530
## 2025-02-17 19:56:21.804061 INFO::Creating boxplot for categorical data, antibiotics vs F809
## 2025-02-17 19:56:21.991489 INFO::Creating boxplot for categorical data, antibiotics vs F894
## 2025-02-17 19:56:22.201145 INFO::Creating boxplot for categorical data, antibiotics vs F22
## 2025-02-17 19:56:22.380189 INFO::Creating boxplot for categorical data, antibiotics vs F818
## 2025-02-17 19:56:22.558107 INFO::Creating boxplot for categorical data, antibiotics vs F559
## 2025-02-17 19:56:22.74201 INFO::Creating boxplot for categorical data, antibiotics vs F741
## 2025-02-17 19:56:22.947358 INFO::Creating boxplot for categorical data, antibiotics vs F398
## 2025-02-17 19:56:23.173953 INFO::Creating boxplot for categorical data, antibiotics vs F357
## 2025-02-17 19:56:23.412807 INFO::Creating boxplot for categorical data, antibiotics vs F119
## 2025-02-17 19:56:23.612098 INFO::Creating boxplot for categorical data, antibiotics vs F426
## 2025-02-17 19:56:23.843581 INFO::Creating boxplot for categorical data, antibiotics vs F204
## 2025-02-17 19:56:24.027554 INFO::Creating boxplot for categorical data, antibiotics vs F851
## 2025-02-17 19:56:24.262212 INFO::Creating boxplot for categorical data, antibiotics vs F657
## 2025-02-17 19:56:24.453045 INFO::Creating boxplot for categorical data, antibiotics vs F801
## 2025-02-17 19:56:24.639693 INFO::Creating boxplot for categorical data, antibiotics vs F754
## 2025-02-17 19:56:24.88015 INFO::Creating boxplot for categorical data, antibiotics vs F859
## 2025-02-17 19:56:25.16919 INFO::Creating boxplot for categorical data, antibiotics vs F480
## 2025-02-17 19:56:25.389573 INFO::Creating boxplot for categorical data, antibiotics vs F507
## 2025-02-17 19:56:25.574287 INFO::Creating boxplot for categorical data, antibiotics vs F207
## 2025-02-17 19:56:28.061687 INFO::Plotting data for metadata number 3, age
## 2025-02-17 19:56:28.064403 INFO::Creating scatter plot for continuous data, age vs F340
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:28.321344 INFO::Creating scatter plot for continuous data, age vs F603
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:28.620446 INFO::Creating scatter plot for continuous data, age vs F356
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:28.845865 INFO::Creating scatter plot for continuous data, age vs F181
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:29.102899 INFO::Creating scatter plot for continuous data, age vs F177
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:29.327654 INFO::Creating scatter plot for continuous data, age vs F390
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:29.5753 INFO::Creating scatter plot for continuous data, age vs F743
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:29.889334 INFO::Creating scatter plot for continuous data, age vs F491
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:30.124697 INFO::Creating scatter plot for continuous data, age vs F436
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:30.340425 INFO::Creating scatter plot for continuous data, age vs F219
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:30.527172 INFO::Creating scatter plot for continuous data, age vs F483
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:30.774663 INFO::Creating scatter plot for continuous data, age vs F878
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:31.000234 INFO::Creating scatter plot for continuous data, age vs F876
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:31.252819 INFO::Creating scatter plot for continuous data, age vs F211
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:31.441601 INFO::Creating scatter plot for continuous data, age vs F732
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:31.628763 INFO::Creating scatter plot for continuous data, age vs F222
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:31.842988 INFO::Creating scatter plot for continuous data, age vs F688
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:32.040296 INFO::Creating scatter plot for continuous data, age vs F170
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:32.245782 INFO::Creating scatter plot for continuous data, age vs F431
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:32.533399 INFO::Creating scatter plot for continuous data, age vs F174
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:32.813393 INFO::Creating scatter plot for continuous data, age vs F17
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:33.128281 INFO::Creating scatter plot for continuous data, age vs F334
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:33.428908 INFO::Creating scatter plot for continuous data, age vs F835
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:33.708542 INFO::Creating scatter plot for continuous data, age vs F223
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:33.964882 INFO::Creating scatter plot for continuous data, age vs F383
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:34.279105 INFO::Creating scatter plot for continuous data, age vs F623
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:34.485581 INFO::Creating scatter plot for continuous data, age vs F329
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:34.676353 INFO::Creating scatter plot for continuous data, age vs F395
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:34.875786 INFO::Creating scatter plot for continuous data, age vs F528
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:35.07801 INFO::Creating scatter plot for continuous data, age vs F13
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:35.261758 INFO::Creating scatter plot for continuous data, age vs F36
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:35.467576 INFO::Creating scatter plot for continuous data, age vs F285
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:35.690616 INFO::Creating scatter plot for continuous data, age vs F404
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:35.866699 INFO::Creating scatter plot for continuous data, age vs F894
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:36.086876 INFO::Creating scatter plot for continuous data, age vs F300
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:36.30571 INFO::Creating scatter plot for continuous data, age vs F32
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:36.497279 INFO::Creating scatter plot for continuous data, age vs F24
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:36.692703 INFO::Creating scatter plot for continuous data, age vs F97
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:36.903774 INFO::Creating scatter plot for continuous data, age vs F849
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:37.083238 INFO::Creating scatter plot for continuous data, age vs F185
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:37.279154 INFO::Creating scatter plot for continuous data, age vs F513
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:37.469044 INFO::Creating scatter plot for continuous data, age vs F296
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:37.705753 INFO::Creating scatter plot for continuous data, age vs F471
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:37.904265 INFO::Creating scatter plot for continuous data, age vs F793
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:38.112845 INFO::Creating scatter plot for continuous data, age vs F402
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:38.316592 INFO::Creating scatter plot for continuous data, age vs F541
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:38.516377 INFO::Creating scatter plot for continuous data, age vs F496
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:38.727687 INFO::Creating scatter plot for continuous data, age vs F386
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:38.90765 INFO::Creating scatter plot for continuous data, age vs F594
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:39.105554 INFO::Creating scatter plot for continuous data, age vs F704
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:39.329704 INFO::Creating scatter plot for continuous data, age vs F330
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:39.545084 INFO::Creating scatter plot for continuous data, age vs F197
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:39.737756 INFO::Creating scatter plot for continuous data, age vs F735
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:39.960992 INFO::Creating scatter plot for continuous data, age vs F481
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:40.179617 INFO::Creating scatter plot for continuous data, age vs F635
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:40.419227 INFO::Creating scatter plot for continuous data, age vs F687
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:40.624374 INFO::Creating scatter plot for continuous data, age vs F652
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:40.834006 INFO::Creating scatter plot for continuous data, age vs F651
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:41.049464 INFO::Creating scatter plot for continuous data, age vs F82
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:41.340684 INFO::Creating scatter plot for continuous data, age vs F7
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:41.540648 INFO::Creating scatter plot for continuous data, age vs F866
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:41.752697 INFO::Creating scatter plot for continuous data, age vs F593
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:41.96099 INFO::Creating scatter plot for continuous data, age vs F733
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:42.186859 INFO::Creating scatter plot for continuous data, age vs F684
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:42.414272 INFO::Creating scatter plot for continuous data, age vs F410
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:42.595791 INFO::Creating scatter plot for continuous data, age vs F224
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:42.784872 INFO::Creating scatter plot for continuous data, age vs F722
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:42.971533 INFO::Creating scatter plot for continuous data, age vs F856
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:43.160496 INFO::Creating scatter plot for continuous data, age vs F680
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:43.360022 INFO::Creating scatter plot for continuous data, age vs F19
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:43.557229 INFO::Creating scatter plot for continuous data, age vs F860
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:43.732845 INFO::Creating scatter plot for continuous data, age vs F859
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:43.932641 INFO::Creating scatter plot for continuous data, age vs F522
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:44.148979 INFO::Creating scatter plot for continuous data, age vs F372
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:44.377253 INFO::Creating scatter plot for continuous data, age vs F899
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:44.578278 INFO::Creating scatter plot for continuous data, age vs F782
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:44.776428 INFO::Creating scatter plot for continuous data, age vs F839
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:45.012422 INFO::Creating scatter plot for continuous data, age vs F827
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:45.228266 INFO::Creating scatter plot for continuous data, age vs F817
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:45.430724 INFO::Creating scatter plot for continuous data, age vs F345
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:45.620059 INFO::Creating scatter plot for continuous data, age vs F127
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:45.819043 INFO::Creating scatter plot for continuous data, age vs F749
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:46.083069 INFO::Creating scatter plot for continuous data, age vs F877
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:46.335209 INFO::Creating scatter plot for continuous data, age vs F150
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:46.57823 INFO::Creating scatter plot for continuous data, age vs F752
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:46.764109 INFO::Creating scatter plot for continuous data, age vs F848
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:46.970717 INFO::Creating scatter plot for continuous data, age vs F809
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:47.173977 INFO::Creating scatter plot for continuous data, age vs F751
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:47.361292 INFO::Creating scatter plot for continuous data, age vs F15
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:47.548316 INFO::Creating scatter plot for continuous data, age vs F521
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:47.728745 INFO::Creating scatter plot for continuous data, age vs F842
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:48.075154 INFO::Creating scatter plot for continuous data, age vs F319
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:48.337063 INFO::Creating scatter plot for continuous data, age vs F96
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:48.526129 INFO::Creating scatter plot for continuous data, age vs F171
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:48.711698 INFO::Creating scatter plot for continuous data, age vs F241
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:48.913345 INFO::Creating scatter plot for continuous data, age vs F582
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:49.095634 INFO::Creating scatter plot for continuous data, age vs F822
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:49.304304 INFO::Creating scatter plot for continuous data, age vs F748
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:49.600123 INFO::Creating scatter plot for continuous data, age vs F147
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:49.827431 INFO::Creating scatter plot for continuous data, age vs F16
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:50.078474 INFO::Creating scatter plot for continuous data, age vs F212
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:50.281192 INFO::Creating scatter plot for continuous data, age vs F718
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:50.501349 INFO::Creating scatter plot for continuous data, age vs F663
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:50.76496 INFO::Creating scatter plot for continuous data, age vs F690
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:51.081027 INFO::Creating scatter plot for continuous data, age vs F865
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:51.323232 INFO::Creating scatter plot for continuous data, age vs F421
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:51.519299 INFO::Creating scatter plot for continuous data, age vs F110
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:51.819704 INFO::Creating scatter plot for continuous data, age vs F857
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:52.069733 INFO::Creating scatter plot for continuous data, age vs F84
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:52.359685 INFO::Creating scatter plot for continuous data, age vs F123
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:52.668877 INFO::Creating scatter plot for continuous data, age vs F566
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:52.953895 INFO::Creating scatter plot for continuous data, age vs F370
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:53.238975 INFO::Creating scatter plot for continuous data, age vs F65
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:53.532315 INFO::Creating scatter plot for continuous data, age vs F119
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:53.717806 INFO::Creating scatter plot for continuous data, age vs F263
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:54.014014 INFO::Creating scatter plot for continuous data, age vs F630
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:54.323021 INFO::Creating scatter plot for continuous data, age vs F628
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:54.564331 INFO::Creating scatter plot for continuous data, age vs F711
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:54.770267 INFO::Creating scatter plot for continuous data, age vs F152
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:55.037632 INFO::Creating scatter plot for continuous data, age vs F324
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:55.30631 INFO::Creating scatter plot for continuous data, age vs F575
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:55.574726 INFO::Creating scatter plot for continuous data, age vs F699
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:55.812122 INFO::Creating scatter plot for continuous data, age vs F846
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:56.01647 INFO::Creating scatter plot for continuous data, age vs F380
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:56.215653 INFO::Creating scatter plot for continuous data, age vs F172
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:56.463584 INFO::Creating scatter plot for continuous data, age vs F504
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:56.68385 INFO::Creating scatter plot for continuous data, age vs F34
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:56.880079 INFO::Creating scatter plot for continuous data, age vs F199
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:57.085295 INFO::Creating scatter plot for continuous data, age vs F198
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:57.286803 INFO::Creating scatter plot for continuous data, age vs F479
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:57.518206 INFO::Creating scatter plot for continuous data, age vs F673
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:57.728057 INFO::Creating scatter plot for continuous data, age vs F508
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:57.936905 INFO::Creating scatter plot for continuous data, age vs F337
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:58.156354 INFO::Creating scatter plot for continuous data, age vs F737
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:58.429807 INFO::Creating scatter plot for continuous data, age vs F609
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:58.644864 INFO::Creating scatter plot for continuous data, age vs F40
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:58.821367 INFO::Creating scatter plot for continuous data, age vs F821
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:59.025709 INFO::Creating scatter plot for continuous data, age vs F643
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:59.205649 INFO::Creating scatter plot for continuous data, age vs F759
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:56:59.409676 INFO::Creating scatter plot for continuous data, age vs F417
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:59.63091 INFO::Creating scatter plot for continuous data, age vs F58
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:56:59.82419 INFO::Creating scatter plot for continuous data, age vs F267
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:57:00.026465 INFO::Creating scatter plot for continuous data, age vs F101
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:57:00.273118 INFO::Creating scatter plot for continuous data, age vs F890
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:57:00.472115 INFO::Creating scatter plot for continuous data, age vs F655
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:57:00.660249 INFO::Creating scatter plot for continuous data, age vs F95
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:57:00.831814 INFO::Creating scatter plot for continuous data, age vs F775
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:57:01.03004 INFO::Creating scatter plot for continuous data, age vs F93
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:57:01.247453 INFO::Creating scatter plot for continuous data, age vs F353
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:57:01.422665 INFO::Creating scatter plot for continuous data, age vs F480
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:57:01.624281 INFO::Creating scatter plot for continuous data, age vs F567
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:57:01.889091 INFO::Creating scatter plot for continuous data, age vs F871
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:57:02.13797 INFO::Creating scatter plot for continuous data, age vs F295
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:57:02.361979 INFO::Creating scatter plot for continuous data, age vs F459
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:57:02.58866 INFO::Creating scatter plot for continuous data, age vs F812
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:57:02.863705 INFO::Creating scatter plot for continuous data, age vs F146
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:57:03.123085 INFO::Creating scatter plot for continuous data, age vs F239
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:57:03.328151 INFO::Creating scatter plot for continuous data, age vs F754
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:57:03.532315 INFO::Creating scatter plot for continuous data, age vs F443
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:57:03.709369 INFO::Creating scatter plot for continuous data, age vs F5
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:57:03.953205 INFO::Creating scatter plot for continuous data, age vs F864
## `geom_smooth()` using formula = 'y ~ x'
## 2025-02-17 19:57:04.269779 INFO::Creating scatter plot for continuous data, age vs F477
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:57:04.588069 INFO::Creating scatter plot for continuous data, age vs F571
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2025-02-17 19:57:04.805853 INFO::Creating scatter plot for continuous data, age vs F715
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Initiating effect size calculations
## 
## Calculating mean abundance in: IBD
## 
## Calculating mean abundance in: Control
## 
## Calculating effect size in: IBD
## 
## Initiating prioritization
## 
## Calculating meta-rank and prioritizing metabolic features
## 2025-02-17 19:57:08.005323 INFO::Writing all prioritized metabolites to file: Macarron_output/prioritized_metabolites_all.csv
## 2025-02-17 19:57:08.045861 INFO::Writing characterizable prioritized metabolites to file: Macarron_output/prioritized_metabolites_characterizable.csv
## 2025-02-17 19:57:08.092214 INFO::Writing highly prioritized metabolites in IBD to file: Macarron_output/highly_prioritized_per_module_in_IBD.csv

3.3.2 Using dataframes as inputs

abundances_df = read.csv(file = prism_abundances, row.names = 1) # setting features as rownames
annotations_df = read.csv(file = prism_annotations, row.names = 1) # setting features as rownames
metadata_df = read.csv(file = prism_metadata, row.names = 1) # setting samples as rownames 
taxonomy_df = read.csv(file = mets_taxonomy)

# Running Macarron
prism_prioritized <- Macarron::Macarron(input_abundances = abundances_df,
                                        input_annotations = annotations_df,
                                        input_metadata = metadata_df,
                                        input_taxonomy = taxonomy_df)

3.3.3 Running Macarron as individual functions

The Macarron::Macarron() function is a wrapper for the Macarron framework. Users can also apply individual functions on the input dataframes to achieve same results as the wrapper with the added benefit of storing output from each function for other analyses. There are seven steps:

# Step 1: Storing input data in a summarized experiment object
prism_mbx <- prepInput(input_abundances = abundances_df,
                       input_annotations = annotations_df,
                       input_metadata = metadata_df)

# Step 2: Creating a distance matrix from pairwise correlations in abundances of metabolic features
prism_w <- makeDisMat(se = prism_mbx)

# Step 3: Finding covariance modules
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df)
# The output is a list containing two dataframes- module assignments and measures of success
# if evaluateMOS=TRUE. To write modules to a separate dataframe, do:
prism_module_assignments <- prism_modules[[1]]
prism_modules_mos <- prism_modules[[2]]

# Step 4: Calculating AVA
prism_ava <- calAVA(se = prism_mbx,
                    mod.assn = prism_modules)

# Step 5: Calculating q-value
prism_qval <- calQval(se = prism_mbx,
                      mod.assn = prism_modules)

# Step 6: Calculating effect size
prism_es <- calES(se = prism_mbx,
                   mac.qval = prism_qval)

# Step 7: Prioritizing metabolic features
prism_prioritized <- prioritize(se = prism_mbx,
                                mod.assn = prism_modules,
                                mac.ava = prism_ava,
                                mac.qval = prism_qval,
                                mac.es = prism_es)
# The output is a list containing two dataframes- all prioritized metabolic features and
# only characterizable metabolic features.
all_prioritized <- prism_prioritized[[1]]
char_prioritized <- prism_prioritized[[2]]

# Step 8 (optional): View only the highly prioritized metabolic features in each module
prism_highly_prioritized <- showBest(prism_prioritized)

Session info from running the demo in R can be displayed with the following command.

sessionInfo()
## R version 4.4.2 (2024-10-31 ucrt)
## Platform: x86_64-w64-mingw32/x64
## Running under: Windows Server 2022 x64 (build 20348)
## 
## Matrix products: default
## 
## 
## locale:
## [1] LC_COLLATE=C                          
## [2] LC_CTYPE=English_United States.utf8   
## [3] LC_MONETARY=English_United States.utf8
## [4] LC_NUMERIC=C                          
## [5] LC_TIME=English_United States.utf8    
## 
## time zone: America/New_York
## tzcode source: internal
## 
## attached base packages:
## [1] stats4    stats     graphics  grDevices utils     datasets  methods  
## [8] base     
## 
## other attached packages:
##  [1] Macarron_1.10.0             SummarizedExperiment_1.36.0
##  [3] Biobase_2.66.0              GenomicRanges_1.58.0       
##  [5] GenomeInfoDb_1.42.3         IRanges_2.40.1             
##  [7] S4Vectors_0.44.0            BiocGenerics_0.52.0        
##  [9] MatrixGenerics_1.18.1       matrixStats_1.5.0          
## [11] BiocStyle_2.34.0           
## 
## loaded via a namespace (and not attached):
##   [1] mnormt_2.1.1            DBI_1.2.3               pbapply_1.7-2          
##   [4] gridExtra_2.3           rlang_1.1.5             magrittr_2.0.3         
##   [7] compiler_4.4.2          RSQLite_2.3.9           mgcv_1.9-1             
##  [10] png_0.1-8               vctrs_0.6.5             stringr_1.5.1          
##  [13] pkgconfig_2.0.3         crayon_1.5.3            fastmap_1.2.0          
##  [16] backports_1.5.0         XVector_0.46.0          labeling_0.4.3         
##  [19] rmarkdown_2.29          preprocessCore_1.68.0   UCSC.utils_1.2.0       
##  [22] bit_4.5.0.1             xfun_0.50               zlibbioc_1.52.0        
##  [25] cachem_1.1.0            jsonlite_1.8.9          blob_1.2.4             
##  [28] DelayedArray_0.32.0     BiocParallel_1.40.0     psych_2.4.12           
##  [31] Maaslin2_1.20.0         parallel_4.4.2          cluster_2.1.8          
##  [34] biglm_0.9-3             R6_2.6.1                RColorBrewer_1.1-3     
##  [37] bslib_0.9.0             stringi_1.8.4           rpart_4.1.24           
##  [40] jquerylib_0.1.4         Rcpp_1.0.14             bookdown_0.42          
##  [43] iterators_1.0.14        knitr_1.49              WGCNA_1.73             
##  [46] base64enc_0.1-3         Matrix_1.7-2            splines_4.4.2          
##  [49] nnet_7.3-20             tidyselect_1.2.1        rstudioapi_0.17.1      
##  [52] abind_1.4-8             yaml_2.3.10             doParallel_1.0.17      
##  [55] codetools_0.2-20        plyr_1.8.9              lattice_0.22-6         
##  [58] tibble_3.2.1            withr_3.0.2             KEGGREST_1.46.0        
##  [61] evaluate_1.0.3          foreign_0.8-88          survival_3.8-3         
##  [64] getopt_1.20.4           Biostrings_2.74.1       pillar_1.10.1          
##  [67] BiocManager_1.30.25     checkmate_2.3.2         foreach_1.5.2          
##  [70] pcaPP_2.0-5             generics_0.1.3          ggplot2_3.5.1          
##  [73] munsell_0.5.1           scales_1.3.0            glue_1.8.0             
##  [76] Hmisc_5.2-2             tools_4.4.2             robustbase_0.99-4-1    
##  [79] data.table_1.16.4       mvtnorm_1.3-3           fastcluster_1.2.6      
##  [82] grid_4.4.2              optparse_1.7.5          impute_1.80.0          
##  [85] AnnotationDbi_1.68.0    colorspace_2.1-1        nlme_3.1-167           
##  [88] GenomeInfoDbData_1.2.13 htmlTable_2.4.3         Formula_1.2-5          
##  [91] cli_3.6.4               S4Arrays_1.6.0          dplyr_1.1.4            
##  [94] DEoptimR_1.1-3-1        gtable_0.3.6            hash_2.2.6.3           
##  [97] logging_0.10-108        dynamicTreeCut_1.63-1   sass_0.4.9             
## [100] digest_0.6.37           SparseArray_1.6.1       farver_2.1.2           
## [103] htmlwidgets_1.6.4       memoise_2.0.1           htmltools_0.5.8.1      
## [106] lifecycle_1.0.4         httr_1.4.7              GO.db_3.20.0           
## [109] bit64_4.6.0-1

3.4 Advanced Topics

3.4.1 Generating the input chemical taxonomy file

The input taxonomy dataframe can be generated using the input metabolic features annotation dataframe using Macarron::decorateID(). This function annotates an HMDB ID or a PubChem CID with the chemical class and subclass of the metabolite.

taxonomy_df <- decorateID(input_annotations = annotations_df)
write.csv(taxonomy_df, file="demo_taxonomy.csv", row.names = FALSE)

3.4.2 Accessory output files

3.4.2.1 Macarron.log

A record of all chosen parameters and steps that were followed during execution.

3.4.2.2 modules_measures_of_success.csv

This file provides information about the properties of covariance modules used in the analysis. By default, modules are generated using a minimum module size (MMS) (argument: min_module_size) equal to cube root of the total number of prevalent metabolic features. Macarron evaluates 9 measures of success (MOS) that collectively capture the “correctness” and chemical homogeneity of the modules. The MOS are as follows:

  • Total modules: Number of modules.
  • Singletons: Number of metabolic features that were not assigned to any module at MMS.
  • % Annotated modules: Percentage of modules that contained at least one annotated metabolic feature.
  • % Consistent assignments: Percentage of times the same metabolic feature was assigned to the same module e.g. if three metabolic features represent glucose, they should all be in the same module. This percentage must be high.
  • Max classes per module: The highest number of chemical classes observed in any module. This is evaluated using the chemical taxonomy of covarying annotated features.
  • 90p classes per module: 90th percentile of classes per module; captures the chemical homogeneity of the modules.
  • Max subclasses per module: The highest number of chemical subclasses observed in any module.
  • 90p subclasses per module: 90th percentile of subclasses per module; captures the chemical homogeneity of the modules.
  • % Features in HAM: Macarron first finds homogeneously annoted modules (HAMs): These are modules in which >75% annotated features have the same chemical class indicating that they are chemically homogeneous. It then calculates how many features the HAMs account for.

3.4.2.3 Maaslin2 results

This folder contains the Maaslin2 log file (maaslin2.log), significant associations found by Maaslin2 (significant_results.tsv) and the linear model residuals file (residuals.rds). For more information, see Maaslin2.

3.4.3 Changing defaults

3.4.3.1 Filtering metabolic features based on prevalence

Ideally, at least 50% metabolic features must be retained after prevalence filtering. By default, Macarron uses the union of metabolic features observed (non-zero abundance) in at least 70% samples of any phenotype for further analysis. This prevalence threshold may be high for some metabolomics datasets and can be changed using the min_prevalence argument.

prism_prioritized <- Macarron::Macarron(input_abundances = abundances_df,
                                        input_annotations = annotations_df,
                                        input_metadata = metadata_df,
                                        input_taxonomy = taxonomy_df,
                                        min_prevalence = 0.5)
# or
prism_w <- makeDisMat(se = prism_mbx,
                      min_prevalence = 0.5)

3.4.4 Minimum module size

By default, cube root of the total number of prevalent features is used as the minimum module size (MMS) (argument: min_module_size) for module detection and generation. We expect this to work for most real world datasets. To determine if the modules are optimal for further analysis, Macarron evaluates several measures of success (MOS) as described above. In addition to evaluating MOS for modules generated using the default MMS, Macarron also evaluates MOS for MMS values that are larger (MMS+5, MMS+10) and smaller (MMS-5, MMS-10) than the default MMS. If you find that the MOS improve with larger or smaller MMS, you may change the default accordingly. For more details about module detection, please see WGCNA and dynamicTreeCut.

# See MOS of modules generated using default
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df)
prism_modules_mos <- prism_modules[[2]]
View(prism_modules_mos)

# Change MMS
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df,
                            min_module_size = 10)

3.4.5 Specifying fixed effects, random effects and reference

Macarron uses Maaslin2 for determining the q-value of differential abundance in a phenotype of interest. For default execution, the phenotype of interest must be a category in column 1 of the metadata dataframe e.g. IBD in diagnosis in the demo. This is also the column that is picked by the metadata_variable argument for identifying the main phenotypes/conditions in any dataset (see Macarron.log file). Further, in the default execution, all columns in the metadata table are considered as fixed effects and the alphabetically first categorical variable in each covariate with two categories is considered as the reference. Maaslin2 requires reference categories to be explicitly defined for all categorical metadata with more than two categories. Defaults can be changed with the arguments fixed_effects, random_effects and reference. In the demo example, fixed effects and reference can be defined as follows:

prism_qval <- calQval(se = prism_mbx,
                      mod.assn = prism_modules,
                      metadata_variable = "diagnosis",
                      fixed_effects = c("diagnosis","age","antibiotics"),
                      reference = c("diagnosis,Control";"antibiotics,No"))

4 Command line invocation

The package source contains a script MacarronCMD.R in inst/scripts to invoke Macarron in the command line using Rscript. The inst/scripts folder also contains a README file that comprehensively documents the usage of the script.