Macarron User Manual

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

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")

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.

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).

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.

Run a demo in R

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
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## Attaching package: 'MatrixGenerics'
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## Loading required package: GenomicRanges
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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)
## 2026-05-30 07:40:27.730225 INFO::Creating output folder.
## 2026-05-30 07:40:27.737706 INFO::Writing function arguments to log file
## Samples with both abundances and metadata: 102
## 2026-05-30 07:40:27.77583 INFO::Summarized Experiment created.
## 2026-05-30 07:40:27.776974 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.
## 2026-05-30 07:40:30.280845 INFO::Distance matrix with 869 metabolic features created.
## Initiating module detection
## 2026-05-30 07:40:30.281882 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.
## 2026-05-30 07:40:31.105087 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"
## 2026-05-30 07:40:32.471035 INFO::Writing function arguments to log file
## 2026-05-30 07:40:32.474332 INFO::Verifying options selected are valid
## 2026-05-30 07:40:32.497502 INFO::Determining format of input files
## 2026-05-30 07:40:32.498161 INFO::Input format is data samples as columns and metadata samples as rows
## 2026-05-30 07:40:32.508373 INFO::Formula for fixed effects: expr ~  diagnosis + age + antibiotics
## 2026-05-30 07:40:32.509282 INFO::Filter data based on min abundance and min prevalence
## 2026-05-30 07:40:32.50971 INFO::Total samples in data: 102
## 2026-05-30 07:40:32.510142 INFO::Min samples required with min abundance for a feature not to be filtered: 0.000000
## 2026-05-30 07:40:32.517718 INFO::Total filtered features: 0
## 2026-05-30 07:40:32.518316 INFO::Filtered feature names from abundance and prevalence filtering:
## 2026-05-30 07:40:32.532103 INFO::Total filtered features with variance filtering: 10
## 2026-05-30 07:40:32.532702 INFO::Filtered feature names from variance filtering: F1, F59, F74, F416, F577, F629, F672, F744, F754, F846
## 2026-05-30 07:40:32.533144 INFO::Running selected normalization method: NONE
## 2026-05-30 07:40:32.533569 INFO::Applying z-score to standardize continuous metadata
## 2026-05-30 07:40:32.546078 INFO::Running selected transform method: NONE
## 2026-05-30 07:40:32.546615 INFO::Running selected analysis method: LM
## 2026-05-30 07:40:32.549853 INFO::Fitting model to feature number 1, F2
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## 2026-05-30 07:40:32.917346 INFO::Fitting model to feature number 157, F166
## 2026-05-30 07:40:32.919549 INFO::Fitting model to feature number 158, F167
## 2026-05-30 07:40:32.921761 INFO::Fitting model to feature number 159, F168
## 2026-05-30 07:40:32.92399 INFO::Fitting model to feature number 160, F169
## 2026-05-30 07:40:32.926173 INFO::Fitting model to feature number 161, F170
## 2026-05-30 07:40:32.928362 INFO::Fitting model to feature number 162, F171
## 2026-05-30 07:40:32.930563 INFO::Fitting model to feature number 163, F172
## 2026-05-30 07:40:32.93284 INFO::Fitting model to feature number 164, F173
## 2026-05-30 07:40:32.935174 INFO::Fitting model to feature number 165, F174
## 2026-05-30 07:40:32.937576 INFO::Fitting model to feature number 166, F175
## 2026-05-30 07:40:32.940067 INFO::Fitting model to feature number 167, F176
## 2026-05-30 07:40:32.942496 INFO::Fitting model to feature number 168, F177
## 2026-05-30 07:40:32.94487 INFO::Fitting model to feature number 169, F178
## 2026-05-30 07:40:32.947312 INFO::Fitting model to feature number 170, F179
## 2026-05-30 07:40:32.949731 INFO::Fitting model to feature number 171, F180
## 2026-05-30 07:40:32.951939 INFO::Fitting model to feature number 172, F181
## 2026-05-30 07:40:32.954129 INFO::Fitting model to feature number 173, F182
## 2026-05-30 07:40:32.956412 INFO::Fitting model to feature number 174, F183
## 2026-05-30 07:40:32.958632 INFO::Fitting model to feature number 175, F184
## 2026-05-30 07:40:32.96084 INFO::Fitting model to feature number 176, F185
## 2026-05-30 07:40:32.963085 INFO::Fitting model to feature number 177, F186
## 2026-05-30 07:40:32.965346 INFO::Fitting model to feature number 178, F187
## 2026-05-30 07:40:32.967582 INFO::Fitting model to feature number 179, F188
## 2026-05-30 07:40:32.96982 INFO::Fitting model to feature number 180, F189
## 2026-05-30 07:40:32.972022 INFO::Fitting model to feature number 181, F190
## 2026-05-30 07:40:32.974283 INFO::Fitting model to feature number 182, F191
## 2026-05-30 07:40:32.976473 INFO::Fitting model to feature number 183, F192
## 2026-05-30 07:40:32.978686 INFO::Fitting model to feature number 184, F193
## 2026-05-30 07:40:32.980891 INFO::Fitting model to feature number 185, F194
## 2026-05-30 07:40:32.983121 INFO::Fitting model to feature number 186, F195
## 2026-05-30 07:40:32.985343 INFO::Fitting model to feature number 187, F196
## 2026-05-30 07:40:32.98755 INFO::Fitting model to feature number 188, F197
## 2026-05-30 07:40:32.98978 INFO::Fitting model to feature number 189, F198
## 2026-05-30 07:40:32.992007 INFO::Fitting model to feature number 190, F199
## 2026-05-30 07:40:32.994227 INFO::Fitting model to feature number 191, F200
## 2026-05-30 07:40:32.996449 INFO::Fitting model to feature number 192, F201
## 2026-05-30 07:40:32.998639 INFO::Fitting model to feature number 193, F202
## 2026-05-30 07:40:33.000848 INFO::Fitting model to feature number 194, F203
## 2026-05-30 07:40:33.003123 INFO::Fitting model to feature number 195, F204
## 2026-05-30 07:40:33.00541 INFO::Fitting model to feature number 196, F206
## 2026-05-30 07:40:33.00773 INFO::Fitting model to feature number 197, F207
## 2026-05-30 07:40:33.010066 INFO::Fitting model to feature number 198, F208
## 2026-05-30 07:40:33.01245 INFO::Fitting model to feature number 199, F209
## 2026-05-30 07:40:33.014823 INFO::Fitting model to feature number 200, F210
## 2026-05-30 07:40:33.01728 INFO::Fitting model to feature number 201, F211
## 2026-05-30 07:40:33.01954 INFO::Fitting model to feature number 202, F212
## 2026-05-30 07:40:33.021793 INFO::Fitting model to feature number 203, F213
## 2026-05-30 07:40:33.024008 INFO::Fitting model to feature number 204, F214
## 2026-05-30 07:40:33.02624 INFO::Fitting model to feature number 205, F215
## 2026-05-30 07:40:33.028523 INFO::Fitting model to feature number 206, F216
## 2026-05-30 07:40:33.030727 INFO::Fitting model to feature number 207, F217
## 2026-05-30 07:40:33.032971 INFO::Fitting model to feature number 208, F218
## 2026-05-30 07:40:33.035188 INFO::Fitting model to feature number 209, F219
## 2026-05-30 07:40:33.037404 INFO::Fitting model to feature number 210, F220
## 2026-05-30 07:40:33.039647 INFO::Fitting model to feature number 211, F221
## 2026-05-30 07:40:33.041847 INFO::Fitting model to feature number 212, F222
## 2026-05-30 07:40:33.044088 INFO::Fitting model to feature number 213, F223
## 2026-05-30 07:40:33.046288 INFO::Fitting model to feature number 214, F224
## 2026-05-30 07:40:33.0485 INFO::Fitting model to feature number 215, F225
## 2026-05-30 07:40:33.050693 INFO::Fitting model to feature number 216, F226
## 2026-05-30 07:40:33.052896 INFO::Fitting model to feature number 217, F227
## 2026-05-30 07:40:33.055142 INFO::Fitting model to feature number 218, F228
## 2026-05-30 07:40:33.05736 INFO::Fitting model to feature number 219, F229
## 2026-05-30 07:40:33.059582 INFO::Fitting model to feature number 220, F230
## 2026-05-30 07:40:33.061842 INFO::Fitting model to feature number 221, F231
## 2026-05-30 07:40:33.064086 INFO::Fitting model to feature number 222, F232
## 2026-05-30 07:40:33.066309 INFO::Fitting model to feature number 223, F233
## 2026-05-30 07:40:33.068727 INFO::Fitting model to feature number 224, F234
## 2026-05-30 07:40:33.070989 INFO::Fitting model to feature number 225, F235
## 2026-05-30 07:40:33.073275 INFO::Fitting model to feature number 226, F236
## 2026-05-30 07:40:33.075533 INFO::Fitting model to feature number 227, F237
## 2026-05-30 07:40:33.077773 INFO::Fitting model to feature number 228, F238
## 2026-05-30 07:40:33.080029 INFO::Fitting model to feature number 229, F239
## 2026-05-30 07:40:33.08226 INFO::Fitting model to feature number 230, F240
## 2026-05-30 07:40:33.084476 INFO::Fitting model to feature number 231, F241
## 2026-05-30 07:40:33.086703 INFO::Fitting model to feature number 232, F242
## 2026-05-30 07:40:33.088936 INFO::Fitting model to feature number 233, F243
## 2026-05-30 07:40:33.091184 INFO::Fitting model to feature number 234, F244
## 2026-05-30 07:40:33.093419 INFO::Fitting model to feature number 235, F245
## 2026-05-30 07:40:33.095636 INFO::Fitting model to feature number 236, F246
## 2026-05-30 07:40:33.097849 INFO::Fitting model to feature number 237, F247
## 2026-05-30 07:40:33.100071 INFO::Fitting model to feature number 238, F248
## 2026-05-30 07:40:33.102281 INFO::Fitting model to feature number 239, F249
## 2026-05-30 07:40:33.10453 INFO::Fitting model to feature number 240, F250
## 2026-05-30 07:40:33.106745 INFO::Fitting model to feature number 241, F252
## 2026-05-30 07:40:33.108965 INFO::Fitting model to feature number 242, F253
## 2026-05-30 07:40:33.111182 INFO::Fitting model to feature number 243, F254
## 2026-05-30 07:40:33.113404 INFO::Fitting model to feature number 244, F255
## 2026-05-30 07:40:33.115605 INFO::Fitting model to feature number 245, F256
## 2026-05-30 07:40:33.117968 INFO::Fitting model to feature number 246, F257
## 2026-05-30 07:40:33.120184 INFO::Fitting model to feature number 247, F259
## 2026-05-30 07:40:33.122399 INFO::Fitting model to feature number 248, F260
## 2026-05-30 07:40:33.124604 INFO::Fitting model to feature number 249, F261
## 2026-05-30 07:40:33.126831 INFO::Fitting model to feature number 250, F262
## 2026-05-30 07:40:33.129058 INFO::Fitting model to feature number 251, F263
## 2026-05-30 07:40:33.131266 INFO::Fitting model to feature number 252, F264
## 2026-05-30 07:40:33.133449 INFO::Fitting model to feature number 253, F265
## 2026-05-30 07:40:33.135625 INFO::Fitting model to feature number 254, F266
## 2026-05-30 07:40:33.137875 INFO::Fitting model to feature number 255, F267
## 2026-05-30 07:40:33.14011 INFO::Fitting model to feature number 256, F269
## 2026-05-30 07:40:33.142336 INFO::Fitting model to feature number 257, F270
## 2026-05-30 07:40:33.144535 INFO::Fitting model to feature number 258, F271
## 2026-05-30 07:40:33.146724 INFO::Fitting model to feature number 259, F272
## 2026-05-30 07:40:33.148918 INFO::Fitting model to feature number 260, F273
## 2026-05-30 07:40:33.151149 INFO::Fitting model to feature number 261, F274
## 2026-05-30 07:40:33.153379 INFO::Fitting model to feature number 262, F276
## 2026-05-30 07:40:33.155654 INFO::Fitting model to feature number 263, F277
## 2026-05-30 07:40:33.157865 INFO::Fitting model to feature number 264, F278
## 2026-05-30 07:40:33.16011 INFO::Fitting model to feature number 265, F279
## 2026-05-30 07:40:33.162305 INFO::Fitting model to feature number 266, F280
## 2026-05-30 07:40:33.164516 INFO::Fitting model to feature number 267, F281
## 2026-05-30 07:40:33.166714 INFO::Fitting model to feature number 268, F282
## 2026-05-30 07:40:33.168947 INFO::Fitting model to feature number 269, F283
## 2026-05-30 07:40:33.171201 INFO::Fitting model to feature number 270, F284
## 2026-05-30 07:40:33.173394 INFO::Fitting model to feature number 271, F285
## 2026-05-30 07:40:33.175593 INFO::Fitting model to feature number 272, F286
## 2026-05-30 07:40:33.177792 INFO::Fitting model to feature number 273, F287
## 2026-05-30 07:40:33.180032 INFO::Fitting model to feature number 274, F288
## 2026-05-30 07:40:33.182295 INFO::Fitting model to feature number 275, F289
## 2026-05-30 07:40:33.184484 INFO::Fitting model to feature number 276, F290
## 2026-05-30 07:40:33.18668 INFO::Fitting model to feature number 277, F292
## 2026-05-30 07:40:33.188879 INFO::Fitting model to feature number 278, F293
## 2026-05-30 07:40:33.191098 INFO::Fitting model to feature number 279, F294
## 2026-05-30 07:40:33.193305 INFO::Fitting model to feature number 280, F295
## 2026-05-30 07:40:33.195499 INFO::Fitting model to feature number 281, F296
## 2026-05-30 07:40:33.197672 INFO::Fitting model to feature number 282, F297
## 2026-05-30 07:40:33.19987 INFO::Fitting model to feature number 283, F298
## 2026-05-30 07:40:33.202066 INFO::Fitting model to feature number 284, F299
## 2026-05-30 07:40:33.204291 INFO::Fitting model to feature number 285, F300
## 2026-05-30 07:40:33.206482 INFO::Fitting model to feature number 286, F301
## 2026-05-30 07:40:33.208682 INFO::Fitting model to feature number 287, F302
## 2026-05-30 07:40:33.210879 INFO::Fitting model to feature number 288, F303
## 2026-05-30 07:40:33.213138 INFO::Fitting model to feature number 289, F304
## 2026-05-30 07:40:33.2154 INFO::Fitting model to feature number 290, F305
## 2026-05-30 07:40:33.217626 INFO::Fitting model to feature number 291, F306
## 2026-05-30 07:40:33.219824 INFO::Fitting model to feature number 292, F307
## 2026-05-30 07:40:33.222058 INFO::Fitting model to feature number 293, F308
## 2026-05-30 07:40:33.224239 INFO::Fitting model to feature number 294, F309
## 2026-05-30 07:40:33.226421 INFO::Fitting model to feature number 295, F310
## 2026-05-30 07:40:33.228633 INFO::Fitting model to feature number 296, F311
## 2026-05-30 07:40:33.230807 INFO::Fitting model to feature number 297, F312
## 2026-05-30 07:40:33.233043 INFO::Fitting model to feature number 298, F313
## 2026-05-30 07:40:33.235273 INFO::Fitting model to feature number 299, F315
## 2026-05-30 07:40:33.237504 INFO::Fitting model to feature number 300, F316
## 2026-05-30 07:40:33.239719 INFO::Fitting model to feature number 301, F317
## 2026-05-30 07:40:33.241965 INFO::Fitting model to feature number 302, F318
## 2026-05-30 07:40:33.244152 INFO::Fitting model to feature number 303, F319
## 2026-05-30 07:40:33.246376 INFO::Fitting model to feature number 304, F320
## 2026-05-30 07:40:33.24865 INFO::Fitting model to feature number 305, F321
## 2026-05-30 07:40:33.250958 INFO::Fitting model to feature number 306, F322
## 2026-05-30 07:40:33.253265 INFO::Fitting model to feature number 307, F323
## 2026-05-30 07:40:33.255542 INFO::Fitting model to feature number 308, F324
## 2026-05-30 07:40:33.257844 INFO::Fitting model to feature number 309, F325
## 2026-05-30 07:40:33.27064 INFO::Fitting model to feature number 310, F326
## 2026-05-30 07:40:33.274124 INFO::Fitting model to feature number 311, F327
## 2026-05-30 07:40:33.27645 INFO::Fitting model to feature number 312, F328
## 2026-05-30 07:40:33.27867 INFO::Fitting model to feature number 313, F329
## 2026-05-30 07:40:33.280897 INFO::Fitting model to feature number 314, F330
## 2026-05-30 07:40:33.28313 INFO::Fitting model to feature number 315, F331
## 2026-05-30 07:40:33.285345 INFO::Fitting model to feature number 316, F332
## 2026-05-30 07:40:33.287534 INFO::Fitting model to feature number 317, F333
## 2026-05-30 07:40:33.289737 INFO::Fitting model to feature number 318, F334
## 2026-05-30 07:40:33.291944 INFO::Fitting model to feature number 319, F335
## 2026-05-30 07:40:33.29416 INFO::Fitting model to feature number 320, F336
## 2026-05-30 07:40:33.296365 INFO::Fitting model to feature number 321, F337
## 2026-05-30 07:40:33.298579 INFO::Fitting model to feature number 322, F338
## 2026-05-30 07:40:33.300786 INFO::Fitting model to feature number 323, F339
## 2026-05-30 07:40:33.303046 INFO::Fitting model to feature number 324, F340
## 2026-05-30 07:40:33.305215 INFO::Fitting model to feature number 325, F342
## 2026-05-30 07:40:33.307412 INFO::Fitting model to feature number 326, F343
## 2026-05-30 07:40:33.309589 INFO::Fitting model to feature number 327, F344
## 2026-05-30 07:40:33.31178 INFO::Fitting model to feature number 328, F345
## 2026-05-30 07:40:33.313951 INFO::Fitting model to feature number 329, F346
## 2026-05-30 07:40:33.316159 INFO::Fitting model to feature number 330, F347
## 2026-05-30 07:40:33.318313 INFO::Fitting model to feature number 331, F348
## 2026-05-30 07:40:33.320512 INFO::Fitting model to feature number 332, F350
## 2026-05-30 07:40:33.322716 INFO::Fitting model to feature number 333, F351
## 2026-05-30 07:40:33.324936 INFO::Fitting model to feature number 334, F352
## 2026-05-30 07:40:33.327194 INFO::Fitting model to feature number 335, F353
## 2026-05-30 07:40:33.32938 INFO::Fitting model to feature number 336, F355
## 2026-05-30 07:40:33.331658 INFO::Fitting model to feature number 337, F356
## 2026-05-30 07:40:33.333879 INFO::Fitting model to feature number 338, F357
## 2026-05-30 07:40:33.336116 INFO::Fitting model to feature number 339, F358
## 2026-05-30 07:40:33.338321 INFO::Fitting model to feature number 340, F359
## 2026-05-30 07:40:33.340583 INFO::Fitting model to feature number 341, F360
## 2026-05-30 07:40:33.342926 INFO::Fitting model to feature number 342, F361
## 2026-05-30 07:40:33.345298 INFO::Fitting model to feature number 343, F362
## 2026-05-30 07:40:33.347663 INFO::Fitting model to feature number 344, F363
## 2026-05-30 07:40:33.349928 INFO::Fitting model to feature number 345, F364
## 2026-05-30 07:40:33.352132 INFO::Fitting model to feature number 346, F365
## 2026-05-30 07:40:33.354321 INFO::Fitting model to feature number 347, F366
## 2026-05-30 07:40:33.356489 INFO::Fitting model to feature number 348, F367
## 2026-05-30 07:40:33.358673 INFO::Fitting model to feature number 349, F368
## 2026-05-30 07:40:33.360854 INFO::Fitting model to feature number 350, F369
## 2026-05-30 07:40:33.363035 INFO::Fitting model to feature number 351, F370
## 2026-05-30 07:40:33.365212 INFO::Fitting model to feature number 352, F371
## 2026-05-30 07:40:33.367451 INFO::Fitting model to feature number 353, F372
## 2026-05-30 07:40:33.369617 INFO::Fitting model to feature number 354, F373
## 2026-05-30 07:40:33.37178 INFO::Fitting model to feature number 355, F374
## 2026-05-30 07:40:33.374004 INFO::Fitting model to feature number 356, F375
## 2026-05-30 07:40:33.37628 INFO::Fitting model to feature number 357, F376
## 2026-05-30 07:40:33.378459 INFO::Fitting model to feature number 358, F377
## 2026-05-30 07:40:33.380663 INFO::Fitting model to feature number 359, F378
## 2026-05-30 07:40:33.382863 INFO::Fitting model to feature number 360, F379
## 2026-05-30 07:40:33.385034 INFO::Fitting model to feature number 361, F380
## 2026-05-30 07:40:33.387324 INFO::Fitting model to feature number 362, F381
## 2026-05-30 07:40:33.389494 INFO::Fitting model to feature number 363, F382
## 2026-05-30 07:40:33.391685 INFO::Fitting model to feature number 364, F383
## 2026-05-30 07:40:33.393836 INFO::Fitting model to feature number 365, F384
## 2026-05-30 07:40:33.396053 INFO::Fitting model to feature number 366, F386
## 2026-05-30 07:40:33.398256 INFO::Fitting model to feature number 367, F387
## 2026-05-30 07:40:33.400495 INFO::Fitting model to feature number 368, F388
## 2026-05-30 07:40:33.402665 INFO::Fitting model to feature number 369, F389
## 2026-05-30 07:40:33.404878 INFO::Fitting model to feature number 370, F390
## 2026-05-30 07:40:33.407159 INFO::Fitting model to feature number 371, F391
## 2026-05-30 07:40:33.409389 INFO::Fitting model to feature number 372, F392
## 2026-05-30 07:40:33.411597 INFO::Fitting model to feature number 373, F393
## 2026-05-30 07:40:33.413805 INFO::Fitting model to feature number 374, F394
## 2026-05-30 07:40:33.416023 INFO::Fitting model to feature number 375, F395
## 2026-05-30 07:40:33.418216 INFO::Fitting model to feature number 376, F396
## 2026-05-30 07:40:33.420454 INFO::Fitting model to feature number 377, F397
## 2026-05-30 07:40:33.42262 INFO::Fitting model to feature number 378, F398
## 2026-05-30 07:40:33.424775 INFO::Fitting model to feature number 379, F399
## 2026-05-30 07:40:33.426983 INFO::Fitting model to feature number 380, F400
## 2026-05-30 07:40:33.429151 INFO::Fitting model to feature number 381, F401
## 2026-05-30 07:40:33.431359 INFO::Fitting model to feature number 382, F402
## 2026-05-30 07:40:33.433572 INFO::Fitting model to feature number 383, F403
## 2026-05-30 07:40:33.435743 INFO::Fitting model to feature number 384, F404
## 2026-05-30 07:40:33.438009 INFO::Fitting model to feature number 385, F406
## 2026-05-30 07:40:33.440193 INFO::Fitting model to feature number 386, F407
## 2026-05-30 07:40:33.442345 INFO::Fitting model to feature number 387, F408
## 2026-05-30 07:40:33.444514 INFO::Fitting model to feature number 388, F409
## 2026-05-30 07:40:33.446688 INFO::Fitting model to feature number 389, F410
## 2026-05-30 07:40:33.448868 INFO::Fitting model to feature number 390, F411
## 2026-05-30 07:40:33.451056 INFO::Fitting model to feature number 391, F412
## 2026-05-30 07:40:33.453223 INFO::Fitting model to feature number 392, F413
## 2026-05-30 07:40:33.455408 INFO::Fitting model to feature number 393, F414
## 2026-05-30 07:40:33.457574 INFO::Fitting model to feature number 394, F415
## 2026-05-30 07:40:33.459801 INFO::Fitting model to feature number 395, F417
## 2026-05-30 07:40:33.461997 INFO::Fitting model to feature number 396, F418
## 2026-05-30 07:40:33.464242 INFO::Fitting model to feature number 397, F419
## 2026-05-30 07:40:33.466471 INFO::Fitting model to feature number 398, F420
## 2026-05-30 07:40:33.468669 INFO::Fitting model to feature number 399, F421
## 2026-05-30 07:40:33.470894 INFO::Fitting model to feature number 400, F422
## 2026-05-30 07:40:33.473146 INFO::Fitting model to feature number 401, F423
## 2026-05-30 07:40:33.475393 INFO::Fitting model to feature number 402, F425
## 2026-05-30 07:40:33.477596 INFO::Fitting model to feature number 403, F426
## 2026-05-30 07:40:33.47978 INFO::Fitting model to feature number 404, F428
## 2026-05-30 07:40:33.481982 INFO::Fitting model to feature number 405, F429
## 2026-05-30 07:40:33.484187 INFO::Fitting model to feature number 406, F430
## 2026-05-30 07:40:33.48641 INFO::Fitting model to feature number 407, F431
## 2026-05-30 07:40:33.488708 INFO::Fitting model to feature number 408, F432
## 2026-05-30 07:40:33.49093 INFO::Fitting model to feature number 409, F433
## 2026-05-30 07:40:33.493131 INFO::Fitting model to feature number 410, F434
## 2026-05-30 07:40:33.495352 INFO::Fitting model to feature number 411, F435
## 2026-05-30 07:40:33.497544 INFO::Fitting model to feature number 412, F436
## 2026-05-30 07:40:33.499766 INFO::Fitting model to feature number 413, F437
## 2026-05-30 07:40:33.501997 INFO::Fitting model to feature number 414, F438
## 2026-05-30 07:40:33.504284 INFO::Fitting model to feature number 415, F439
## 2026-05-30 07:40:33.506485 INFO::Fitting model to feature number 416, F440
## 2026-05-30 07:40:33.5087 INFO::Fitting model to feature number 417, F441
## 2026-05-30 07:40:33.510951 INFO::Fitting model to feature number 418, F442
## 2026-05-30 07:40:33.513144 INFO::Fitting model to feature number 419, F443
## 2026-05-30 07:40:33.515377 INFO::Fitting model to feature number 420, F444
## 2026-05-30 07:40:33.517586 INFO::Fitting model to feature number 421, F445
## 2026-05-30 07:40:33.519857 INFO::Fitting model to feature number 422, F446
## 2026-05-30 07:40:33.522088 INFO::Fitting model to feature number 423, F447
## 2026-05-30 07:40:33.524317 INFO::Fitting model to feature number 424, F448
## 2026-05-30 07:40:33.526553 INFO::Fitting model to feature number 425, F449
## 2026-05-30 07:40:33.528749 INFO::Fitting model to feature number 426, F450
## 2026-05-30 07:40:33.531017 INFO::Fitting model to feature number 427, F451
## 2026-05-30 07:40:33.533243 INFO::Fitting model to feature number 428, F452
## 2026-05-30 07:40:33.535451 INFO::Fitting model to feature number 429, F454
## 2026-05-30 07:40:33.537661 INFO::Fitting model to feature number 430, F455
## 2026-05-30 07:40:33.539876 INFO::Fitting model to feature number 431, F456
## 2026-05-30 07:40:33.542158 INFO::Fitting model to feature number 432, F457
## 2026-05-30 07:40:33.54443 INFO::Fitting model to feature number 433, F458
## 2026-05-30 07:40:33.546671 INFO::Fitting model to feature number 434, F459
## 2026-05-30 07:40:33.548961 INFO::Fitting model to feature number 435, F461
## 2026-05-30 07:40:33.551215 INFO::Fitting model to feature number 436, F462
## 2026-05-30 07:40:33.553475 INFO::Fitting model to feature number 437, F463
## 2026-05-30 07:40:33.555711 INFO::Fitting model to feature number 438, F464
## 2026-05-30 07:40:33.557964 INFO::Fitting model to feature number 439, F465
## 2026-05-30 07:40:33.560224 INFO::Fitting model to feature number 440, F466
## 2026-05-30 07:40:33.562494 INFO::Fitting model to feature number 441, F467
## 2026-05-30 07:40:33.564747 INFO::Fitting model to feature number 442, F468
## 2026-05-30 07:40:33.56705 INFO::Fitting model to feature number 443, F469
## 2026-05-30 07:40:33.569365 INFO::Fitting model to feature number 444, F470
## 2026-05-30 07:40:33.571618 INFO::Fitting model to feature number 445, F471
## 2026-05-30 07:40:33.573849 INFO::Fitting model to feature number 446, F474
## 2026-05-30 07:40:33.576094 INFO::Fitting model to feature number 447, F475
## 2026-05-30 07:40:33.578306 INFO::Fitting model to feature number 448, F476
## 2026-05-30 07:40:33.580551 INFO::Fitting model to feature number 449, F477
## 2026-05-30 07:40:33.582804 INFO::Fitting model to feature number 450, F478
## 2026-05-30 07:40:33.585091 INFO::Fitting model to feature number 451, F479
## 2026-05-30 07:40:33.587343 INFO::Fitting model to feature number 452, F480
## 2026-05-30 07:40:33.5896 INFO::Fitting model to feature number 453, F481
## 2026-05-30 07:40:33.591839 INFO::Fitting model to feature number 454, F482
## 2026-05-30 07:40:33.594062 INFO::Fitting model to feature number 455, F483
## 2026-05-30 07:40:33.596277 INFO::Fitting model to feature number 456, F484
## 2026-05-30 07:40:33.598497 INFO::Fitting model to feature number 457, F485
## 2026-05-30 07:40:33.60073 INFO::Fitting model to feature number 458, F486
## 2026-05-30 07:40:33.602967 INFO::Fitting model to feature number 459, F487
## 2026-05-30 07:40:33.60519 INFO::Fitting model to feature number 460, F488
## 2026-05-30 07:40:33.607414 INFO::Fitting model to feature number 461, F489
## 2026-05-30 07:40:33.609638 INFO::Fitting model to feature number 462, F490
## 2026-05-30 07:40:33.611875 INFO::Fitting model to feature number 463, F491
## 2026-05-30 07:40:33.614132 INFO::Fitting model to feature number 464, F492
## 2026-05-30 07:40:33.616362 INFO::Fitting model to feature number 465, F493
## 2026-05-30 07:40:33.618579 INFO::Fitting model to feature number 466, F494
## 2026-05-30 07:40:33.620801 INFO::Fitting model to feature number 467, F495
## 2026-05-30 07:40:33.623023 INFO::Fitting model to feature number 468, F496
## 2026-05-30 07:40:33.625251 INFO::Fitting model to feature number 469, F497
## 2026-05-30 07:40:33.627495 INFO::Fitting model to feature number 470, F498
## 2026-05-30 07:40:33.629725 INFO::Fitting model to feature number 471, F499
## 2026-05-30 07:40:33.632037 INFO::Fitting model to feature number 472, F500
## 2026-05-30 07:40:33.634306 INFO::Fitting model to feature number 473, F501
## 2026-05-30 07:40:33.63658 INFO::Fitting model to feature number 474, F502
## 2026-05-30 07:40:33.638837 INFO::Fitting model to feature number 475, F503
## 2026-05-30 07:40:33.64113 INFO::Fitting model to feature number 476, F504
## 2026-05-30 07:40:33.643318 INFO::Fitting model to feature number 477, F505
## 2026-05-30 07:40:33.645543 INFO::Fitting model to feature number 478, F506
## 2026-05-30 07:40:33.647772 INFO::Fitting model to feature number 479, F507
## 2026-05-30 07:40:33.650017 INFO::Fitting model to feature number 480, F508
## 2026-05-30 07:40:33.652252 INFO::Fitting model to feature number 481, F509
## 2026-05-30 07:40:33.654471 INFO::Fitting model to feature number 482, F510
## 2026-05-30 07:40:33.65667 INFO::Fitting model to feature number 483, F511
## 2026-05-30 07:40:33.658931 INFO::Fitting model to feature number 484, F512
## 2026-05-30 07:40:33.661148 INFO::Fitting model to feature number 485, F513
## 2026-05-30 07:40:33.66335 INFO::Fitting model to feature number 486, F514
## 2026-05-30 07:40:33.66555 INFO::Fitting model to feature number 487, F515
## 2026-05-30 07:40:33.66777 INFO::Fitting model to feature number 488, F516
## 2026-05-30 07:40:33.669988 INFO::Fitting model to feature number 489, F517
## 2026-05-30 07:40:33.672253 INFO::Fitting model to feature number 490, F518
## 2026-05-30 07:40:33.674454 INFO::Fitting model to feature number 491, F519
## 2026-05-30 07:40:33.676688 INFO::Fitting model to feature number 492, F520
## 2026-05-30 07:40:33.678889 INFO::Fitting model to feature number 493, F521
## 2026-05-30 07:40:33.681135 INFO::Fitting model to feature number 494, F522
## 2026-05-30 07:40:33.683445 INFO::Fitting model to feature number 495, F523
## 2026-05-30 07:40:33.685648 INFO::Fitting model to feature number 496, F524
## 2026-05-30 07:40:33.687861 INFO::Fitting model to feature number 497, F525
## 2026-05-30 07:40:33.690098 INFO::Fitting model to feature number 498, F526
## 2026-05-30 07:40:33.692545 INFO::Fitting model to feature number 499, F527
## 2026-05-30 07:40:33.694784 INFO::Fitting model to feature number 500, F528
## 2026-05-30 07:40:33.697006 INFO::Fitting model to feature number 501, F529
## 2026-05-30 07:40:33.699172 INFO::Fitting model to feature number 502, F530
## 2026-05-30 07:40:33.701361 INFO::Fitting model to feature number 503, F531
## 2026-05-30 07:40:33.703594 INFO::Fitting model to feature number 504, F532
## 2026-05-30 07:40:33.705805 INFO::Fitting model to feature number 505, F533
## 2026-05-30 07:40:33.708021 INFO::Fitting model to feature number 506, F534
## 2026-05-30 07:40:33.710243 INFO::Fitting model to feature number 507, F535
## 2026-05-30 07:40:33.712431 INFO::Fitting model to feature number 508, F536
## 2026-05-30 07:40:33.714701 INFO::Fitting model to feature number 509, F537
## 2026-05-30 07:40:33.716928 INFO::Fitting model to feature number 510, F539
## 2026-05-30 07:40:33.719144 INFO::Fitting model to feature number 511, F540
## 2026-05-30 07:40:33.721348 INFO::Fitting model to feature number 512, F541
## 2026-05-30 07:40:33.72356 INFO::Fitting model to feature number 513, F543
## 2026-05-30 07:40:33.725806 INFO::Fitting model to feature number 514, F544
## 2026-05-30 07:40:33.728033 INFO::Fitting model to feature number 515, F545
## 2026-05-30 07:40:33.730225 INFO::Fitting model to feature number 516, F546
## 2026-05-30 07:40:33.732433 INFO::Fitting model to feature number 517, F547
## 2026-05-30 07:40:33.734635 INFO::Fitting model to feature number 518, F548
## 2026-05-30 07:40:33.736936 INFO::Fitting model to feature number 519, F549
## 2026-05-30 07:40:33.739182 INFO::Fitting model to feature number 520, F550
## 2026-05-30 07:40:33.741434 INFO::Fitting model to feature number 521, F551
## 2026-05-30 07:40:33.743653 INFO::Fitting model to feature number 522, F552
## 2026-05-30 07:40:33.745863 INFO::Fitting model to feature number 523, F553
## 2026-05-30 07:40:33.748066 INFO::Fitting model to feature number 524, F554
## 2026-05-30 07:40:33.750267 INFO::Fitting model to feature number 525, F555
## 2026-05-30 07:40:33.752436 INFO::Fitting model to feature number 526, F556
## 2026-05-30 07:40:33.754632 INFO::Fitting model to feature number 527, F557
## 2026-05-30 07:40:33.75684 INFO::Fitting model to feature number 528, F558
## 2026-05-30 07:40:33.759072 INFO::Fitting model to feature number 529, F559
## 2026-05-30 07:40:33.761288 INFO::Fitting model to feature number 530, F560
## 2026-05-30 07:40:33.763498 INFO::Fitting model to feature number 531, F561
## 2026-05-30 07:40:33.765737 INFO::Fitting model to feature number 532, F562
## 2026-05-30 07:40:33.767969 INFO::Fitting model to feature number 533, F563
## 2026-05-30 07:40:33.770169 INFO::Fitting model to feature number 534, F564
## 2026-05-30 07:40:33.772387 INFO::Fitting model to feature number 535, F566
## 2026-05-30 07:40:33.774591 INFO::Fitting model to feature number 536, F567
## 2026-05-30 07:40:33.776782 INFO::Fitting model to feature number 537, F568
## 2026-05-30 07:40:33.779029 INFO::Fitting model to feature number 538, F569
## 2026-05-30 07:40:33.781233 INFO::Fitting model to feature number 539, F570
## 2026-05-30 07:40:33.783451 INFO::Fitting model to feature number 540, F571
## 2026-05-30 07:40:33.785673 INFO::Fitting model to feature number 541, F572
## 2026-05-30 07:40:33.787896 INFO::Fitting model to feature number 542, F573
## 2026-05-30 07:40:33.790121 INFO::Fitting model to feature number 543, F574
## 2026-05-30 07:40:33.792344 INFO::Fitting model to feature number 544, F575
## 2026-05-30 07:40:33.794536 INFO::Fitting model to feature number 545, F576
## 2026-05-30 07:40:33.796805 INFO::Fitting model to feature number 546, F578
## 2026-05-30 07:40:33.81074 INFO::Fitting model to feature number 547, F579
## 2026-05-30 07:40:33.813415 INFO::Fitting model to feature number 548, F580
## 2026-05-30 07:40:33.815805 INFO::Fitting model to feature number 549, F581
## 2026-05-30 07:40:33.818071 INFO::Fitting model to feature number 550, F582
## 2026-05-30 07:40:33.820292 INFO::Fitting model to feature number 551, F583
## 2026-05-30 07:40:33.822529 INFO::Fitting model to feature number 552, F584
## 2026-05-30 07:40:33.824777 INFO::Fitting model to feature number 553, F585
## 2026-05-30 07:40:33.827 INFO::Fitting model to feature number 554, F586
## 2026-05-30 07:40:33.829206 INFO::Fitting model to feature number 555, F587
## 2026-05-30 07:40:33.831425 INFO::Fitting model to feature number 556, F588
## 2026-05-30 07:40:33.833643 INFO::Fitting model to feature number 557, F589
## 2026-05-30 07:40:33.835866 INFO::Fitting model to feature number 558, F590
## 2026-05-30 07:40:33.838099 INFO::Fitting model to feature number 559, F591
## 2026-05-30 07:40:33.840313 INFO::Fitting model to feature number 560, F592
## 2026-05-30 07:40:33.842529 INFO::Fitting model to feature number 561, F593
## 2026-05-30 07:40:33.84472 INFO::Fitting model to feature number 562, F594
## 2026-05-30 07:40:33.846927 INFO::Fitting model to feature number 563, F595
## 2026-05-30 07:40:33.84913 INFO::Fitting model to feature number 564, F596
## 2026-05-30 07:40:33.851339 INFO::Fitting model to feature number 565, F597
## 2026-05-30 07:40:33.853546 INFO::Fitting model to feature number 566, F598
## 2026-05-30 07:40:33.855735 INFO::Fitting model to feature number 567, F599
## 2026-05-30 07:40:33.857953 INFO::Fitting model to feature number 568, F600
## 2026-05-30 07:40:33.860151 INFO::Fitting model to feature number 569, F601
## 2026-05-30 07:40:33.862371 INFO::Fitting model to feature number 570, F602
## 2026-05-30 07:40:33.864575 INFO::Fitting model to feature number 571, F603
## 2026-05-30 07:40:33.866878 INFO::Fitting model to feature number 572, F605
## 2026-05-30 07:40:33.869219 INFO::Fitting model to feature number 573, F606
## 2026-05-30 07:40:33.871485 INFO::Fitting model to feature number 574, F607
## 2026-05-30 07:40:33.873725 INFO::Fitting model to feature number 575, F608
## 2026-05-30 07:40:33.875942 INFO::Fitting model to feature number 576, F609
## 2026-05-30 07:40:33.87818 INFO::Fitting model to feature number 577, F610
## 2026-05-30 07:40:33.880398 INFO::Fitting model to feature number 578, F611
## 2026-05-30 07:40:33.882762 INFO::Fitting model to feature number 579, F612
## 2026-05-30 07:40:33.885162 INFO::Fitting model to feature number 580, F613
## 2026-05-30 07:40:33.887491 INFO::Fitting model to feature number 581, F614
## 2026-05-30 07:40:33.889758 INFO::Fitting model to feature number 582, F615
## 2026-05-30 07:40:33.891967 INFO::Fitting model to feature number 583, F616
## 2026-05-30 07:40:33.894182 INFO::Fitting model to feature number 584, F617
## 2026-05-30 07:40:33.896378 INFO::Fitting model to feature number 585, F618
## 2026-05-30 07:40:33.898572 INFO::Fitting model to feature number 586, F619
## 2026-05-30 07:40:33.900786 INFO::Fitting model to feature number 587, F620
## 2026-05-30 07:40:33.903006 INFO::Fitting model to feature number 588, F621
## 2026-05-30 07:40:33.905215 INFO::Fitting model to feature number 589, F622
## 2026-05-30 07:40:33.90743 INFO::Fitting model to feature number 590, F623
## 2026-05-30 07:40:33.909645 INFO::Fitting model to feature number 591, F624
## 2026-05-30 07:40:33.911836 INFO::Fitting model to feature number 592, F625
## 2026-05-30 07:40:33.914053 INFO::Fitting model to feature number 593, F626
## 2026-05-30 07:40:33.916262 INFO::Fitting model to feature number 594, F627
## 2026-05-30 07:40:33.918396 INFO::Fitting model to feature number 595, F628
## 2026-05-30 07:40:33.920577 INFO::Fitting model to feature number 596, F630
## 2026-05-30 07:40:33.922783 INFO::Fitting model to feature number 597, F631
## 2026-05-30 07:40:33.924976 INFO::Fitting model to feature number 598, F632
## 2026-05-30 07:40:33.927171 INFO::Fitting model to feature number 599, F633
## 2026-05-30 07:40:33.929383 INFO::Fitting model to feature number 600, F634
## 2026-05-30 07:40:33.931627 INFO::Fitting model to feature number 601, F635
## 2026-05-30 07:40:33.933875 INFO::Fitting model to feature number 602, F636
## 2026-05-30 07:40:33.93618 INFO::Fitting model to feature number 603, F637
## 2026-05-30 07:40:33.938541 INFO::Fitting model to feature number 604, F638
## 2026-05-30 07:40:33.940976 INFO::Fitting model to feature number 605, F639
## 2026-05-30 07:40:33.943437 INFO::Fitting model to feature number 606, F640
## 2026-05-30 07:40:33.945827 INFO::Fitting model to feature number 607, F641
## 2026-05-30 07:40:33.948126 INFO::Fitting model to feature number 608, F642
## 2026-05-30 07:40:33.950438 INFO::Fitting model to feature number 609, F643
## 2026-05-30 07:40:33.952667 INFO::Fitting model to feature number 610, F644
## 2026-05-30 07:40:33.954894 INFO::Fitting model to feature number 611, F645
## 2026-05-30 07:40:33.95714 INFO::Fitting model to feature number 612, F646
## 2026-05-30 07:40:33.959386 INFO::Fitting model to feature number 613, F647
## 2026-05-30 07:40:33.961633 INFO::Fitting model to feature number 614, F648
## 2026-05-30 07:40:33.963874 INFO::Fitting model to feature number 615, F649
## 2026-05-30 07:40:33.966119 INFO::Fitting model to feature number 616, F650
## 2026-05-30 07:40:33.968332 INFO::Fitting model to feature number 617, F651
## 2026-05-30 07:40:33.970527 INFO::Fitting model to feature number 618, F652
## 2026-05-30 07:40:33.972761 INFO::Fitting model to feature number 619, F653
## 2026-05-30 07:40:33.974991 INFO::Fitting model to feature number 620, F654
## 2026-05-30 07:40:33.977239 INFO::Fitting model to feature number 621, F655
## 2026-05-30 07:40:33.979473 INFO::Fitting model to feature number 622, F656
## 2026-05-30 07:40:33.981647 INFO::Fitting model to feature number 623, F657
## 2026-05-30 07:40:33.983828 INFO::Fitting model to feature number 624, F658
## 2026-05-30 07:40:33.986017 INFO::Fitting model to feature number 625, F659
## 2026-05-30 07:40:33.988169 INFO::Fitting model to feature number 626, F660
## 2026-05-30 07:40:33.990356 INFO::Fitting model to feature number 627, F661
## 2026-05-30 07:40:33.992522 INFO::Fitting model to feature number 628, F662
## 2026-05-30 07:40:33.99469 INFO::Fitting model to feature number 629, F663
## 2026-05-30 07:40:33.996926 INFO::Fitting model to feature number 630, F664
## 2026-05-30 07:40:33.999153 INFO::Fitting model to feature number 631, F665
## 2026-05-30 07:40:34.001434 INFO::Fitting model to feature number 632, F666
## 2026-05-30 07:40:34.003694 INFO::Fitting model to feature number 633, F667
## 2026-05-30 07:40:34.006027 INFO::Fitting model to feature number 634, F668
## 2026-05-30 07:40:34.008323 INFO::Fitting model to feature number 635, F669
## 2026-05-30 07:40:34.010722 INFO::Fitting model to feature number 636, F670
## 2026-05-30 07:40:34.013141 INFO::Fitting model to feature number 637, F671
## 2026-05-30 07:40:34.015353 INFO::Fitting model to feature number 638, F673
## 2026-05-30 07:40:34.017536 INFO::Fitting model to feature number 639, F674
## 2026-05-30 07:40:34.019702 INFO::Fitting model to feature number 640, F675
## 2026-05-30 07:40:34.021874 INFO::Fitting model to feature number 641, F676
## 2026-05-30 07:40:34.024095 INFO::Fitting model to feature number 642, F677
## 2026-05-30 07:40:34.026272 INFO::Fitting model to feature number 643, F678
## 2026-05-30 07:40:34.028502 INFO::Fitting model to feature number 644, F679
## 2026-05-30 07:40:34.030757 INFO::Fitting model to feature number 645, F680
## 2026-05-30 07:40:34.032974 INFO::Fitting model to feature number 646, F681
## 2026-05-30 07:40:34.035183 INFO::Fitting model to feature number 647, F682
## 2026-05-30 07:40:34.037367 INFO::Fitting model to feature number 648, F683
## 2026-05-30 07:40:34.039533 INFO::Fitting model to feature number 649, F684
## 2026-05-30 07:40:34.041728 INFO::Fitting model to feature number 650, F685
## 2026-05-30 07:40:34.044037 INFO::Fitting model to feature number 651, F686
## 2026-05-30 07:40:34.04632 INFO::Fitting model to feature number 652, F687
## 2026-05-30 07:40:34.048528 INFO::Fitting model to feature number 653, F688
## 2026-05-30 07:40:34.050749 INFO::Fitting model to feature number 654, F689
## 2026-05-30 07:40:34.052985 INFO::Fitting model to feature number 655, F690
## 2026-05-30 07:40:34.055217 INFO::Fitting model to feature number 656, F691
## 2026-05-30 07:40:34.057444 INFO::Fitting model to feature number 657, F692
## 2026-05-30 07:40:34.059772 INFO::Fitting model to feature number 658, F693
## 2026-05-30 07:40:34.062012 INFO::Fitting model to feature number 659, F694
## 2026-05-30 07:40:34.064264 INFO::Fitting model to feature number 660, F695
## 2026-05-30 07:40:34.066527 INFO::Fitting model to feature number 661, F696
## 2026-05-30 07:40:34.068764 INFO::Fitting model to feature number 662, F697
## 2026-05-30 07:40:34.071145 INFO::Fitting model to feature number 663, F698
## 2026-05-30 07:40:34.073372 INFO::Fitting model to feature number 664, F699
## 2026-05-30 07:40:34.075619 INFO::Fitting model to feature number 665, F700
## 2026-05-30 07:40:34.077888 INFO::Fitting model to feature number 666, F701
## 2026-05-30 07:40:34.080118 INFO::Fitting model to feature number 667, F702
## 2026-05-30 07:40:34.082359 INFO::Fitting model to feature number 668, F704
## 2026-05-30 07:40:34.084566 INFO::Fitting model to feature number 669, F705
## 2026-05-30 07:40:34.086793 INFO::Fitting model to feature number 670, F706
## 2026-05-30 07:40:34.089034 INFO::Fitting model to feature number 671, F707
## 2026-05-30 07:40:34.091228 INFO::Fitting model to feature number 672, F708
## 2026-05-30 07:40:34.093451 INFO::Fitting model to feature number 673, F709
## 2026-05-30 07:40:34.095658 INFO::Fitting model to feature number 674, F710
## 2026-05-30 07:40:34.097901 INFO::Fitting model to feature number 675, F711
## 2026-05-30 07:40:34.100156 INFO::Fitting model to feature number 676, F712
## 2026-05-30 07:40:34.10239 INFO::Fitting model to feature number 677, F713
## 2026-05-30 07:40:34.104596 INFO::Fitting model to feature number 678, F714
## 2026-05-30 07:40:34.106816 INFO::Fitting model to feature number 679, F715
## 2026-05-30 07:40:34.109043 INFO::Fitting model to feature number 680, F716
## 2026-05-30 07:40:34.111276 INFO::Fitting model to feature number 681, F717
## 2026-05-30 07:40:34.113525 INFO::Fitting model to feature number 682, F718
## 2026-05-30 07:40:34.115735 INFO::Fitting model to feature number 683, F719
## 2026-05-30 07:40:34.118013 INFO::Fitting model to feature number 684, F720
## 2026-05-30 07:40:34.120296 INFO::Fitting model to feature number 685, F721
## 2026-05-30 07:40:34.122529 INFO::Fitting model to feature number 686, F722
## 2026-05-30 07:40:34.124746 INFO::Fitting model to feature number 687, F723
## 2026-05-30 07:40:34.126986 INFO::Fitting model to feature number 688, F724
## 2026-05-30 07:40:34.129239 INFO::Fitting model to feature number 689, F725
## 2026-05-30 07:40:34.131452 INFO::Fitting model to feature number 690, F726
## 2026-05-30 07:40:34.133658 INFO::Fitting model to feature number 691, F727
## 2026-05-30 07:40:34.13586 INFO::Fitting model to feature number 692, F728
## 2026-05-30 07:40:34.138089 INFO::Fitting model to feature number 693, F729
## 2026-05-30 07:40:34.140315 INFO::Fitting model to feature number 694, F730
## 2026-05-30 07:40:34.142591 INFO::Fitting model to feature number 695, F731
## 2026-05-30 07:40:34.144802 INFO::Fitting model to feature number 696, F732
## 2026-05-30 07:40:34.147037 INFO::Fitting model to feature number 697, F733
## 2026-05-30 07:40:34.149272 INFO::Fitting model to feature number 698, F734
## 2026-05-30 07:40:34.151478 INFO::Fitting model to feature number 699, F735
## 2026-05-30 07:40:34.153689 INFO::Fitting model to feature number 700, F736
## 2026-05-30 07:40:34.155918 INFO::Fitting model to feature number 701, F737
## 2026-05-30 07:40:34.158126 INFO::Fitting model to feature number 702, F739
## 2026-05-30 07:40:34.160353 INFO::Fitting model to feature number 703, F740
## 2026-05-30 07:40:34.162553 INFO::Fitting model to feature number 704, F741
## 2026-05-30 07:40:34.164801 INFO::Fitting model to feature number 705, F742
## 2026-05-30 07:40:34.16703 INFO::Fitting model to feature number 706, F743
## 2026-05-30 07:40:34.16926 INFO::Fitting model to feature number 707, F745
## 2026-05-30 07:40:34.171473 INFO::Fitting model to feature number 708, F746
## 2026-05-30 07:40:34.173662 INFO::Fitting model to feature number 709, F747
## 2026-05-30 07:40:34.175894 INFO::Fitting model to feature number 710, F748
## 2026-05-30 07:40:34.178134 INFO::Fitting model to feature number 711, F749
## 2026-05-30 07:40:34.180362 INFO::Fitting model to feature number 712, F750
## 2026-05-30 07:40:34.182664 INFO::Fitting model to feature number 713, F751
## 2026-05-30 07:40:34.184858 INFO::Fitting model to feature number 714, F752
## 2026-05-30 07:40:34.187091 INFO::Fitting model to feature number 715, F753
## 2026-05-30 07:40:34.189262 INFO::Fitting model to feature number 716, F755
## 2026-05-30 07:40:34.191483 INFO::Fitting model to feature number 717, F756
## 2026-05-30 07:40:34.19365 INFO::Fitting model to feature number 718, F757
## 2026-05-30 07:40:34.195863 INFO::Fitting model to feature number 719, F758
## 2026-05-30 07:40:34.198118 INFO::Fitting model to feature number 720, F759
## 2026-05-30 07:40:34.200352 INFO::Fitting model to feature number 721, F760
## 2026-05-30 07:40:34.202599 INFO::Fitting model to feature number 722, F761
## 2026-05-30 07:40:34.204813 INFO::Fitting model to feature number 723, F762
## 2026-05-30 07:40:34.207011 INFO::Fitting model to feature number 724, F763
## 2026-05-30 07:40:34.209251 INFO::Fitting model to feature number 725, F764
## 2026-05-30 07:40:34.211455 INFO::Fitting model to feature number 726, F765
## 2026-05-30 07:40:34.213665 INFO::Fitting model to feature number 727, F766
## 2026-05-30 07:40:34.216053 INFO::Fitting model to feature number 728, F767
## 2026-05-30 07:40:34.218247 INFO::Fitting model to feature number 729, F768
## 2026-05-30 07:40:34.220469 INFO::Fitting model to feature number 730, F769
## 2026-05-30 07:40:34.222674 INFO::Fitting model to feature number 731, F770
## 2026-05-30 07:40:34.224894 INFO::Fitting model to feature number 732, F771
## 2026-05-30 07:40:34.22713 INFO::Fitting model to feature number 733, F772
## 2026-05-30 07:40:34.229362 INFO::Fitting model to feature number 734, F773
## 2026-05-30 07:40:34.231542 INFO::Fitting model to feature number 735, F774
## 2026-05-30 07:40:34.23384 INFO::Fitting model to feature number 736, F775
## 2026-05-30 07:40:34.236058 INFO::Fitting model to feature number 737, F776
## 2026-05-30 07:40:34.238261 INFO::Fitting model to feature number 738, F777
## 2026-05-30 07:40:34.240468 INFO::Fitting model to feature number 739, F778
## 2026-05-30 07:40:34.242674 INFO::Fitting model to feature number 740, F779
## 2026-05-30 07:40:34.244903 INFO::Fitting model to feature number 741, F780
## 2026-05-30 07:40:34.247123 INFO::Fitting model to feature number 742, F781
## 2026-05-30 07:40:34.249327 INFO::Fitting model to feature number 743, F782
## 2026-05-30 07:40:34.251519 INFO::Fitting model to feature number 744, F783
## 2026-05-30 07:40:34.253719 INFO::Fitting model to feature number 745, F784
## 2026-05-30 07:40:34.255999 INFO::Fitting model to feature number 746, F785
## 2026-05-30 07:40:34.258209 INFO::Fitting model to feature number 747, F786
## 2026-05-30 07:40:34.260406 INFO::Fitting model to feature number 748, F787
## 2026-05-30 07:40:34.262618 INFO::Fitting model to feature number 749, F788
## 2026-05-30 07:40:34.264817 INFO::Fitting model to feature number 750, F789
## 2026-05-30 07:40:34.267046 INFO::Fitting model to feature number 751, F790
## 2026-05-30 07:40:34.26924 INFO::Fitting model to feature number 752, F791
## 2026-05-30 07:40:34.271481 INFO::Fitting model to feature number 753, F792
## 2026-05-30 07:40:34.273698 INFO::Fitting model to feature number 754, F793
## 2026-05-30 07:40:34.27601 INFO::Fitting model to feature number 755, F794
## 2026-05-30 07:40:34.278236 INFO::Fitting model to feature number 756, F795
## 2026-05-30 07:40:34.280455 INFO::Fitting model to feature number 757, F796
## 2026-05-30 07:40:34.282669 INFO::Fitting model to feature number 758, F797
## 2026-05-30 07:40:34.284876 INFO::Fitting model to feature number 759, F798
## 2026-05-30 07:40:34.287113 INFO::Fitting model to feature number 760, F799
## 2026-05-30 07:40:34.2893 INFO::Fitting model to feature number 761, F800
## 2026-05-30 07:40:34.291506 INFO::Fitting model to feature number 762, F801
## 2026-05-30 07:40:34.293716 INFO::Fitting model to feature number 763, F802
## 2026-05-30 07:40:34.295945 INFO::Fitting model to feature number 764, F803
## 2026-05-30 07:40:34.298157 INFO::Fitting model to feature number 765, F804
## 2026-05-30 07:40:34.300355 INFO::Fitting model to feature number 766, F805
## 2026-05-30 07:40:34.302554 INFO::Fitting model to feature number 767, F806
## 2026-05-30 07:40:34.304759 INFO::Fitting model to feature number 768, F808
## 2026-05-30 07:40:34.306983 INFO::Fitting model to feature number 769, F809
## 2026-05-30 07:40:34.309209 INFO::Fitting model to feature number 770, F810
## 2026-05-30 07:40:34.311416 INFO::Fitting model to feature number 771, F811
## 2026-05-30 07:40:34.31362 INFO::Fitting model to feature number 772, F812
## 2026-05-30 07:40:34.315807 INFO::Fitting model to feature number 773, F813
## 2026-05-30 07:40:34.318014 INFO::Fitting model to feature number 774, F814
## 2026-05-30 07:40:34.320211 INFO::Fitting model to feature number 775, F815
## 2026-05-30 07:40:34.322421 INFO::Fitting model to feature number 776, F816
## 2026-05-30 07:40:34.324658 INFO::Fitting model to feature number 777, F817
## 2026-05-30 07:40:34.337398 INFO::Fitting model to feature number 778, F818
## 2026-05-30 07:40:34.340382 INFO::Fitting model to feature number 779, F819
## 2026-05-30 07:40:34.3426 INFO::Fitting model to feature number 780, F820
## 2026-05-30 07:40:34.344804 INFO::Fitting model to feature number 781, F821
## 2026-05-30 07:40:34.347012 INFO::Fitting model to feature number 782, F822
## 2026-05-30 07:40:34.349212 INFO::Fitting model to feature number 783, F823
## 2026-05-30 07:40:34.351426 INFO::Fitting model to feature number 784, F824
## 2026-05-30 07:40:34.353627 INFO::Fitting model to feature number 785, F825
## 2026-05-30 07:40:34.355846 INFO::Fitting model to feature number 786, F826
## 2026-05-30 07:40:34.358051 INFO::Fitting model to feature number 787, F827
## 2026-05-30 07:40:34.36029 INFO::Fitting model to feature number 788, F828
## 2026-05-30 07:40:34.362514 INFO::Fitting model to feature number 789, F829
## 2026-05-30 07:40:34.364722 INFO::Fitting model to feature number 790, F830
## 2026-05-30 07:40:34.367022 INFO::Fitting model to feature number 791, F831
## 2026-05-30 07:40:34.369261 INFO::Fitting model to feature number 792, F832
## 2026-05-30 07:40:34.371482 INFO::Fitting model to feature number 793, F833
## 2026-05-30 07:40:34.373733 INFO::Fitting model to feature number 794, F834
## 2026-05-30 07:40:34.376032 INFO::Fitting model to feature number 795, F835
## 2026-05-30 07:40:34.378285 INFO::Fitting model to feature number 796, F836
## 2026-05-30 07:40:34.380499 INFO::Fitting model to feature number 797, F837
## 2026-05-30 07:40:34.38272 INFO::Fitting model to feature number 798, F838
## 2026-05-30 07:40:34.384953 INFO::Fitting model to feature number 799, F839
## 2026-05-30 07:40:34.387211 INFO::Fitting model to feature number 800, F840
## 2026-05-30 07:40:34.389429 INFO::Fitting model to feature number 801, F841
## 2026-05-30 07:40:34.391652 INFO::Fitting model to feature number 802, F842
## 2026-05-30 07:40:34.393858 INFO::Fitting model to feature number 803, F843
## 2026-05-30 07:40:34.396103 INFO::Fitting model to feature number 804, F844
## 2026-05-30 07:40:34.398356 INFO::Fitting model to feature number 805, F845
## 2026-05-30 07:40:34.400572 INFO::Fitting model to feature number 806, F847
## 2026-05-30 07:40:34.402796 INFO::Fitting model to feature number 807, F848
## 2026-05-30 07:40:34.405051 INFO::Fitting model to feature number 808, F849
## 2026-05-30 07:40:34.407301 INFO::Fitting model to feature number 809, F850
## 2026-05-30 07:40:34.409682 INFO::Fitting model to feature number 810, F851
## 2026-05-30 07:40:34.412093 INFO::Fitting model to feature number 811, F852
## 2026-05-30 07:40:34.414413 INFO::Fitting model to feature number 812, F853
## 2026-05-30 07:40:34.416663 INFO::Fitting model to feature number 813, F854
## 2026-05-30 07:40:34.418858 INFO::Fitting model to feature number 814, F855
## 2026-05-30 07:40:34.421104 INFO::Fitting model to feature number 815, F856
## 2026-05-30 07:40:34.423292 INFO::Fitting model to feature number 816, F857
## 2026-05-30 07:40:34.425484 INFO::Fitting model to feature number 817, F858
## 2026-05-30 07:40:34.427678 INFO::Fitting model to feature number 818, F859
## 2026-05-30 07:40:34.429889 INFO::Fitting model to feature number 819, F860
## 2026-05-30 07:40:34.432103 INFO::Fitting model to feature number 820, F861
## 2026-05-30 07:40:34.434302 INFO::Fitting model to feature number 821, F862
## 2026-05-30 07:40:34.436487 INFO::Fitting model to feature number 822, F863
## 2026-05-30 07:40:34.438666 INFO::Fitting model to feature number 823, F864
## 2026-05-30 07:40:34.440865 INFO::Fitting model to feature number 824, F865
## 2026-05-30 07:40:34.44309 INFO::Fitting model to feature number 825, F866
## 2026-05-30 07:40:34.445273 INFO::Fitting model to feature number 826, F867
## 2026-05-30 07:40:34.447407 INFO::Fitting model to feature number 827, F868
## 2026-05-30 07:40:34.449609 INFO::Fitting model to feature number 828, F869
## 2026-05-30 07:40:34.451797 INFO::Fitting model to feature number 829, F870
## 2026-05-30 07:40:34.453981 INFO::Fitting model to feature number 830, F871
## 2026-05-30 07:40:34.456167 INFO::Fitting model to feature number 831, F872
## 2026-05-30 07:40:34.458353 INFO::Fitting model to feature number 832, F873
## 2026-05-30 07:40:34.460532 INFO::Fitting model to feature number 833, F874
## 2026-05-30 07:40:34.462717 INFO::Fitting model to feature number 834, F875
## 2026-05-30 07:40:34.464939 INFO::Fitting model to feature number 835, F876
## 2026-05-30 07:40:34.467252 INFO::Fitting model to feature number 836, F877
## 2026-05-30 07:40:34.469407 INFO::Fitting model to feature number 837, F878
## 2026-05-30 07:40:34.471637 INFO::Fitting model to feature number 838, F879
## 2026-05-30 07:40:34.473827 INFO::Fitting model to feature number 839, F880
## 2026-05-30 07:40:34.476105 INFO::Fitting model to feature number 840, F881
## 2026-05-30 07:40:34.478298 INFO::Fitting model to feature number 841, F882
## 2026-05-30 07:40:34.480504 INFO::Fitting model to feature number 842, F883
## 2026-05-30 07:40:34.4827 INFO::Fitting model to feature number 843, F884
## 2026-05-30 07:40:34.484931 INFO::Fitting model to feature number 844, F885
## 2026-05-30 07:40:34.487154 INFO::Fitting model to feature number 845, F886
## 2026-05-30 07:40:34.48935 INFO::Fitting model to feature number 846, F887
## 2026-05-30 07:40:34.491557 INFO::Fitting model to feature number 847, F888
## 2026-05-30 07:40:34.493757 INFO::Fitting model to feature number 848, F889
## 2026-05-30 07:40:34.495959 INFO::Fitting model to feature number 849, F890
## 2026-05-30 07:40:34.498182 INFO::Fitting model to feature number 850, F891
## 2026-05-30 07:40:34.500387 INFO::Fitting model to feature number 851, F892
## 2026-05-30 07:40:34.502626 INFO::Fitting model to feature number 852, F893
## 2026-05-30 07:40:34.504854 INFO::Fitting model to feature number 853, F894
## 2026-05-30 07:40:34.50705 INFO::Fitting model to feature number 854, F895
## 2026-05-30 07:40:34.509243 INFO::Fitting model to feature number 855, F896
## 2026-05-30 07:40:34.511429 INFO::Fitting model to feature number 856, F897
## 2026-05-30 07:40:34.513614 INFO::Fitting model to feature number 857, F898
## 2026-05-30 07:40:34.515803 INFO::Fitting model to feature number 858, F899
## 2026-05-30 07:40:34.517984 INFO::Fitting model to feature number 859, F900
## 2026-05-30 07:40:34.622449 INFO::Counting total values for each feature
## 2026-05-30 07:40:34.692955 INFO::Writing filtered data to file Macarron_output/maaslin2_results/features/filtered_data.tsv
## 2026-05-30 07:40:34.747721 INFO::Writing filtered, normalized data to file Macarron_output/maaslin2_results/features/filtered_data_norm.tsv
## 2026-05-30 07:40:34.802391 INFO::Writing filtered, normalized, transformed data to file Macarron_output/maaslin2_results/features/filtered_data_norm_transformed.tsv
## 2026-05-30 07:40:34.856983 INFO::Writing residuals to file Macarron_output/maaslin2_results/fits/residuals.rds
## 2026-05-30 07:40:34.886485 INFO::Writing fitted values to file Macarron_output/maaslin2_results/fits/fitted.rds
## 2026-05-30 07:40:34.911585 INFO::Writing all results to file (ordered by increasing q-values): Macarron_output/maaslin2_results/all_results.tsv
## 2026-05-30 07:40:34.920825 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
## 2026-05-30 07:40:34.925061 INFO::Writing association plots (one for each significant association) to output folder: Macarron_output/maaslin2_results
## 2026-05-30 07:40:34.935211 INFO::Plotting associations from most to least significant, grouped by metadata
## 2026-05-30 07:40:34.935829 INFO::Plotting data for metadata number 1, diagnosis
## 2026-05-30 07:40:34.960303 INFO::Creating boxplot for categorical data, diagnosis vs F504
## 2026-05-30 07:40:35.240065 INFO::Creating boxplot for categorical data, diagnosis vs F859
## 2026-05-30 07:40:35.430628 INFO::Creating boxplot for categorical data, diagnosis vs F533
## 2026-05-30 07:40:35.62122 INFO::Creating boxplot for categorical data, diagnosis vs F587
## 2026-05-30 07:40:35.802801 INFO::Creating boxplot for categorical data, diagnosis vs F584
## 2026-05-30 07:40:35.985995 INFO::Creating boxplot for categorical data, diagnosis vs F197
## 2026-05-30 07:40:36.174776 INFO::Creating boxplot for categorical data, diagnosis vs F380
## 2026-05-30 07:40:36.355597 INFO::Creating boxplot for categorical data, diagnosis vs F829
## 2026-05-30 07:40:36.537798 INFO::Creating boxplot for categorical data, diagnosis vs F664
## 2026-05-30 07:40:36.79216 INFO::Creating boxplot for categorical data, diagnosis vs F93
## 2026-05-30 07:40:36.981215 INFO::Creating boxplot for categorical data, diagnosis vs F15
## 2026-05-30 07:40:37.177002 INFO::Creating boxplot for categorical data, diagnosis vs F881
## 2026-05-30 07:40:37.357252 INFO::Creating boxplot for categorical data, diagnosis vs F806
## 2026-05-30 07:40:37.538515 INFO::Creating boxplot for categorical data, diagnosis vs F78
## 2026-05-30 07:40:37.725036 INFO::Creating boxplot for categorical data, diagnosis vs F189
## 2026-05-30 07:40:37.907218 INFO::Creating boxplot for categorical data, diagnosis vs F369
## 2026-05-30 07:40:38.093749 INFO::Creating boxplot for categorical data, diagnosis vs F623
## 2026-05-30 07:40:38.278646 INFO::Creating boxplot for categorical data, diagnosis vs F710
## 2026-05-30 07:40:38.461845 INFO::Creating boxplot for categorical data, diagnosis vs F851
## 2026-05-30 07:40:38.662893 INFO::Creating boxplot for categorical data, diagnosis vs F257
## 2026-05-30 07:40:38.846163 INFO::Creating boxplot for categorical data, diagnosis vs F330
## 2026-05-30 07:40:39.033512 INFO::Creating boxplot for categorical data, diagnosis vs F344
## 2026-05-30 07:40:39.22235 INFO::Creating boxplot for categorical data, diagnosis vs F696
## 2026-05-30 07:40:39.4037 INFO::Creating boxplot for categorical data, diagnosis vs F741
## 2026-05-30 07:40:39.59416 INFO::Creating boxplot for categorical data, diagnosis vs F509
## 2026-05-30 07:40:39.773681 INFO::Creating boxplot for categorical data, diagnosis vs F479
## 2026-05-30 07:40:39.955506 INFO::Creating boxplot for categorical data, diagnosis vs F550
## 2026-05-30 07:40:40.150749 INFO::Creating boxplot for categorical data, diagnosis vs F640
## 2026-05-30 07:40:40.330981 INFO::Creating boxplot for categorical data, diagnosis vs F281
## 2026-05-30 07:40:40.513232 INFO::Creating boxplot for categorical data, diagnosis vs F80
## 2026-05-30 07:40:40.703683 INFO::Creating boxplot for categorical data, diagnosis vs F285
## 2026-05-30 07:40:40.888149 INFO::Creating boxplot for categorical data, diagnosis vs F531
## 2026-05-30 07:40:41.086882 INFO::Creating boxplot for categorical data, diagnosis vs F737
## 2026-05-30 07:40:41.265898 INFO::Creating boxplot for categorical data, diagnosis vs F875
## 2026-05-30 07:40:41.44729 INFO::Creating boxplot for categorical data, diagnosis vs F864
## 2026-05-30 07:40:41.636314 INFO::Creating boxplot for categorical data, diagnosis vs F379
## 2026-05-30 07:40:41.817593 INFO::Creating boxplot for categorical data, diagnosis vs F190
## 2026-05-30 07:40:42.01349 INFO::Creating boxplot for categorical data, diagnosis vs F4
## 2026-05-30 07:40:42.196746 INFO::Creating boxplot for categorical data, diagnosis vs F591
## 2026-05-30 07:40:42.37941 INFO::Creating boxplot for categorical data, diagnosis vs F773
## 2026-05-30 07:40:42.566722 INFO::Creating boxplot for categorical data, diagnosis vs F283
## 2026-05-30 07:40:42.747817 INFO::Creating boxplot for categorical data, diagnosis vs F233
## 2026-05-30 07:40:42.942489 INFO::Creating boxplot for categorical data, diagnosis vs F420
## 2026-05-30 07:40:43.128118 INFO::Creating boxplot for categorical data, diagnosis vs F5
## 2026-05-30 07:40:43.31496 INFO::Creating boxplot for categorical data, diagnosis vs F137
## 2026-05-30 07:40:43.504092 INFO::Creating boxplot for categorical data, diagnosis vs F215
## 2026-05-30 07:40:43.686012 INFO::Creating boxplot for categorical data, diagnosis vs F489
## 2026-05-30 07:40:43.877674 INFO::Creating boxplot for categorical data, diagnosis vs F220
## 2026-05-30 07:40:44.062743 INFO::Creating boxplot for categorical data, diagnosis vs F691
## 2026-05-30 07:40:44.246615 INFO::Creating boxplot for categorical data, diagnosis vs F381
## 2026-05-30 07:40:44.437072 INFO::Creating boxplot for categorical data, diagnosis vs F539
## 2026-05-30 07:40:44.620193 INFO::Creating boxplot for categorical data, diagnosis vs F490
## 2026-05-30 07:40:44.814682 INFO::Creating boxplot for categorical data, diagnosis vs F832
## 2026-05-30 07:40:45.0011 INFO::Creating boxplot for categorical data, diagnosis vs F396
## 2026-05-30 07:40:45.191501 INFO::Creating boxplot for categorical data, diagnosis vs F528
## 2026-05-30 07:40:45.382508 INFO::Creating boxplot for categorical data, diagnosis vs F178
## 2026-05-30 07:40:45.56634 INFO::Creating boxplot for categorical data, diagnosis vs F761
## 2026-05-30 07:40:45.759713 INFO::Creating boxplot for categorical data, diagnosis vs F2
## 2026-05-30 07:40:45.945671 INFO::Creating boxplot for categorical data, diagnosis vs F260
## 2026-05-30 07:40:46.134903 INFO::Creating boxplot for categorical data, diagnosis vs F234
## 2026-05-30 07:40:46.326333 INFO::Creating boxplot for categorical data, diagnosis vs F734
## 2026-05-30 07:40:46.512941 INFO::Creating boxplot for categorical data, diagnosis vs F429
## 2026-05-30 07:40:46.7086 INFO::Creating boxplot for categorical data, diagnosis vs F630
## 2026-05-30 07:40:46.893027 INFO::Creating boxplot for categorical data, diagnosis vs F817
## 2026-05-30 07:40:47.094362 INFO::Creating boxplot for categorical data, diagnosis vs F847
## 2026-05-30 07:40:47.279322 INFO::Creating boxplot for categorical data, diagnosis vs F896
## 2026-05-30 07:40:47.464174 INFO::Creating boxplot for categorical data, diagnosis vs F81
## 2026-05-30 07:40:47.652669 INFO::Creating boxplot for categorical data, diagnosis vs F110
## 2026-05-30 07:40:47.838767 INFO::Creating boxplot for categorical data, diagnosis vs F3
## 2026-05-30 07:40:48.03671 INFO::Creating boxplot for categorical data, diagnosis vs F33
## 2026-05-30 07:40:48.220211 INFO::Creating boxplot for categorical data, diagnosis vs F270
## 2026-05-30 07:40:48.458545 INFO::Creating boxplot for categorical data, diagnosis vs F278
## 2026-05-30 07:40:48.640049 INFO::Creating boxplot for categorical data, diagnosis vs F264
## 2026-05-30 07:40:48.825599 INFO::Creating boxplot for categorical data, diagnosis vs F403
## 2026-05-30 07:40:49.024593 INFO::Creating boxplot for categorical data, diagnosis vs F90
## 2026-05-30 07:40:49.211122 INFO::Creating boxplot for categorical data, diagnosis vs F800
## 2026-05-30 07:40:49.397986 INFO::Creating boxplot for categorical data, diagnosis vs F394
## 2026-05-30 07:40:49.588124 INFO::Creating boxplot for categorical data, diagnosis vs F727
## 2026-05-30 07:40:49.773419 INFO::Creating boxplot for categorical data, diagnosis vs F439
## 2026-05-30 07:40:49.969157 INFO::Creating boxplot for categorical data, diagnosis vs F554
## 2026-05-30 07:40:50.157961 INFO::Creating boxplot for categorical data, diagnosis vs F559
## 2026-05-30 07:40:50.346763 INFO::Creating boxplot for categorical data, diagnosis vs F548
## 2026-05-30 07:40:50.539282 INFO::Creating boxplot for categorical data, diagnosis vs F794
## 2026-05-30 07:40:50.725199 INFO::Creating boxplot for categorical data, diagnosis vs F45
## 2026-05-30 07:40:50.908516 INFO::Creating boxplot for categorical data, diagnosis vs F158
## 2026-05-30 07:40:51.108733 INFO::Creating boxplot for categorical data, diagnosis vs F477
## 2026-05-30 07:40:51.297101 INFO::Creating boxplot for categorical data, diagnosis vs F862
## 2026-05-30 07:40:51.49138 INFO::Creating boxplot for categorical data, diagnosis vs F803
## 2026-05-30 07:40:51.678536 INFO::Creating boxplot for categorical data, diagnosis vs F751
## 2026-05-30 07:40:51.863695 INFO::Creating boxplot for categorical data, diagnosis vs F98
## 2026-05-30 07:40:52.064258 INFO::Creating boxplot for categorical data, diagnosis vs F22
## 2026-05-30 07:40:52.251572 INFO::Creating boxplot for categorical data, diagnosis vs F625
## 2026-05-30 07:40:52.449831 INFO::Creating boxplot for categorical data, diagnosis vs F779
## 2026-05-30 07:40:52.636688 INFO::Creating boxplot for categorical data, diagnosis vs F206
## 2026-05-30 07:40:52.825882 INFO::Creating boxplot for categorical data, diagnosis vs F532
## 2026-05-30 07:40:53.025693 INFO::Creating boxplot for categorical data, diagnosis vs F676
## 2026-05-30 07:40:53.215901 INFO::Creating boxplot for categorical data, diagnosis vs F644
## 2026-05-30 07:40:53.414034 INFO::Creating boxplot for categorical data, diagnosis vs F7
## 2026-05-30 07:40:53.600002 INFO::Creating boxplot for categorical data, diagnosis vs F596
## 2026-05-30 07:40:53.789464 INFO::Creating boxplot for categorical data, diagnosis vs F250
## 2026-05-30 07:40:53.987466 INFO::Creating boxplot for categorical data, diagnosis vs F462
## 2026-05-30 07:40:54.178736 INFO::Creating boxplot for categorical data, diagnosis vs F516
## 2026-05-30 07:40:54.376084 INFO::Creating boxplot for categorical data, diagnosis vs F659
## 2026-05-30 07:40:54.565029 INFO::Creating boxplot for categorical data, diagnosis vs F663
## 2026-05-30 07:40:54.756121 INFO::Creating boxplot for categorical data, diagnosis vs F837
## 2026-05-30 07:40:54.957924 INFO::Creating boxplot for categorical data, diagnosis vs F138
## 2026-05-30 07:40:55.150565 INFO::Creating boxplot for categorical data, diagnosis vs F445
## 2026-05-30 07:40:55.347116 INFO::Creating boxplot for categorical data, diagnosis vs F697
## 2026-05-30 07:40:55.532673 INFO::Creating boxplot for categorical data, diagnosis vs F225
## 2026-05-30 07:40:55.722174 INFO::Creating boxplot for categorical data, diagnosis vs F148
## 2026-05-30 07:40:55.919263 INFO::Creating boxplot for categorical data, diagnosis vs F448
## 2026-05-30 07:40:56.112741 INFO::Creating boxplot for categorical data, diagnosis vs F665
## 2026-05-30 07:40:56.307456 INFO::Creating boxplot for categorical data, diagnosis vs F123
## 2026-05-30 07:40:56.494552 INFO::Creating boxplot for categorical data, diagnosis vs F91
## 2026-05-30 07:40:56.698237 INFO::Creating boxplot for categorical data, diagnosis vs F845
## 2026-05-30 07:40:56.881572 INFO::Creating boxplot for categorical data, diagnosis vs F331
## 2026-05-30 07:40:57.074366 INFO::Creating boxplot for categorical data, diagnosis vs F361
## 2026-05-30 07:40:57.267178 INFO::Creating boxplot for categorical data, diagnosis vs F421
## 2026-05-30 07:40:57.452388 INFO::Creating boxplot for categorical data, diagnosis vs F277
## 2026-05-30 07:40:57.644957 INFO::Creating boxplot for categorical data, diagnosis vs F307
## 2026-05-30 07:40:57.832564 INFO::Creating boxplot for categorical data, diagnosis vs F503
## 2026-05-30 07:40:58.028139 INFO::Creating boxplot for categorical data, diagnosis vs F34
## 2026-05-30 07:40:58.227016 INFO::Creating boxplot for categorical data, diagnosis vs F649
## 2026-05-30 07:40:58.418458 INFO::Creating boxplot for categorical data, diagnosis vs F298
## 2026-05-30 07:40:59.092721 INFO::Creating boxplot for categorical data, diagnosis vs F461
## 2026-05-30 07:40:59.267375 INFO::Creating boxplot for categorical data, diagnosis vs F375
## 2026-05-30 07:40:59.439784 INFO::Creating boxplot for categorical data, diagnosis vs F242
## 2026-05-30 07:40:59.621934 INFO::Creating boxplot for categorical data, diagnosis vs F648
## 2026-05-30 07:40:59.796258 INFO::Creating boxplot for categorical data, diagnosis vs F724
## 2026-05-30 07:40:59.982537 INFO::Creating boxplot for categorical data, diagnosis vs F678
## 2026-05-30 07:41:00.160001 INFO::Creating boxplot for categorical data, diagnosis vs F261
## 2026-05-30 07:41:00.336495 INFO::Creating boxplot for categorical data, diagnosis vs F290
## 2026-05-30 07:41:00.519999 INFO::Creating boxplot for categorical data, diagnosis vs F743
## 2026-05-30 07:41:00.70015 INFO::Creating boxplot for categorical data, diagnosis vs F495
## 2026-05-30 07:41:00.887649 INFO::Creating boxplot for categorical data, diagnosis vs F825
## 2026-05-30 07:41:01.065616 INFO::Creating boxplot for categorical data, diagnosis vs F43
## 2026-05-30 07:41:01.239649 INFO::Creating boxplot for categorical data, diagnosis vs F714
## 2026-05-30 07:41:01.420958 INFO::Creating boxplot for categorical data, diagnosis vs F131
## 2026-05-30 07:41:01.593746 INFO::Creating boxplot for categorical data, diagnosis vs F150
## 2026-05-30 07:41:01.769127 INFO::Creating boxplot for categorical data, diagnosis vs F651
## 2026-05-30 07:41:01.9517 INFO::Creating boxplot for categorical data, diagnosis vs F798
## 2026-05-30 07:41:02.127786 INFO::Creating boxplot for categorical data, diagnosis vs F199
## 2026-05-30 07:41:02.30802 INFO::Creating boxplot for categorical data, diagnosis vs F289
## 2026-05-30 07:41:02.480495 INFO::Creating boxplot for categorical data, diagnosis vs F661
## 2026-05-30 07:41:02.655475 INFO::Creating boxplot for categorical data, diagnosis vs F406
## 2026-05-30 07:41:02.837198 INFO::Creating boxplot for categorical data, diagnosis vs F139
## 2026-05-30 07:41:03.015251 INFO::Creating boxplot for categorical data, diagnosis vs F506
## 2026-05-30 07:41:03.196643 INFO::Creating boxplot for categorical data, diagnosis vs F552
## 2026-05-30 07:41:03.37082 INFO::Creating boxplot for categorical data, diagnosis vs F430
## 2026-05-30 07:41:03.545424 INFO::Creating boxplot for categorical data, diagnosis vs F94
## 2026-05-30 07:41:03.726296 INFO::Creating boxplot for categorical data, diagnosis vs F639
## 2026-05-30 07:41:03.900343 INFO::Creating boxplot for categorical data, diagnosis vs F500
## 2026-05-30 07:41:04.087243 INFO::Creating boxplot for categorical data, diagnosis vs F609
## 2026-05-30 07:41:04.260252 INFO::Creating boxplot for categorical data, diagnosis vs F306
## 2026-05-30 07:41:04.43573 INFO::Creating boxplot for categorical data, diagnosis vs F507
## 2026-05-30 07:41:04.616057 INFO::Creating boxplot for categorical data, diagnosis vs F671
## 2026-05-30 07:41:04.7892 INFO::Creating boxplot for categorical data, diagnosis vs F894
## 2026-05-30 07:41:04.974077 INFO::Creating boxplot for categorical data, diagnosis vs F195
## 2026-05-30 07:41:05.150496 INFO::Creating boxplot for categorical data, diagnosis vs F345
## 2026-05-30 07:41:05.325969 INFO::Creating boxplot for categorical data, diagnosis vs F801
## 2026-05-30 07:41:05.507361 INFO::Creating boxplot for categorical data, diagnosis vs F194
## 2026-05-30 07:41:05.685211 INFO::Creating boxplot for categorical data, diagnosis vs F119
## 2026-05-30 07:41:05.871302 INFO::Creating boxplot for categorical data, diagnosis vs F231
## 2026-05-30 07:41:06.050073 INFO::Creating boxplot for categorical data, diagnosis vs F120
## 2026-05-30 07:41:06.227847 INFO::Creating boxplot for categorical data, diagnosis vs F311
## 2026-05-30 07:41:06.407427 INFO::Creating boxplot for categorical data, diagnosis vs F646
## 2026-05-30 07:41:06.582257 INFO::Creating boxplot for categorical data, diagnosis vs F814
## 2026-05-30 07:41:06.767969 INFO::Creating boxplot for categorical data, diagnosis vs F510
## 2026-05-30 07:41:06.94556 INFO::Creating boxplot for categorical data, diagnosis vs F398
## 2026-05-30 07:41:07.134049 INFO::Creating boxplot for categorical data, diagnosis vs F60
## 2026-05-30 07:41:07.309706 INFO::Creating boxplot for categorical data, diagnosis vs F153
## 2026-05-30 07:41:07.489398 INFO::Creating boxplot for categorical data, diagnosis vs F858
## 2026-05-30 07:41:07.671227 INFO::Creating boxplot for categorical data, diagnosis vs F684
## 2026-05-30 07:41:07.847306 INFO::Creating boxplot for categorical data, diagnosis vs F775
## 2026-05-30 07:41:08.033613 INFO::Creating boxplot for categorical data, diagnosis vs F384
## 2026-05-30 07:41:08.211469 INFO::Creating boxplot for categorical data, diagnosis vs F134
## 2026-05-30 07:41:08.38945 INFO::Creating boxplot for categorical data, diagnosis vs F670
## 2026-05-30 07:41:08.62885 INFO::Creating boxplot for categorical data, diagnosis vs F376
## 2026-05-30 07:41:08.812371 INFO::Creating boxplot for categorical data, diagnosis vs F632
## 2026-05-30 07:41:09.015983 INFO::Creating boxplot for categorical data, diagnosis vs F721
## 2026-05-30 07:41:09.203545 INFO::Creating boxplot for categorical data, diagnosis vs F700
## 2026-05-30 07:41:09.384805 INFO::Creating boxplot for categorical data, diagnosis vs F301
## 2026-05-30 07:41:09.58032 INFO::Creating boxplot for categorical data, diagnosis vs F27
## 2026-05-30 07:41:09.76317 INFO::Creating boxplot for categorical data, diagnosis vs F391
## 2026-05-30 07:41:09.955989 INFO::Creating boxplot for categorical data, diagnosis vs F725
## 2026-05-30 07:41:10.14954 INFO::Creating boxplot for categorical data, diagnosis vs F186
## 2026-05-30 07:41:10.337393 INFO::Creating boxplot for categorical data, diagnosis vs F481
## 2026-05-30 07:41:10.534567 INFO::Creating boxplot for categorical data, diagnosis vs F280
## 2026-05-30 07:41:10.718626 INFO::Creating boxplot for categorical data, diagnosis vs F333
## 2026-05-30 07:41:10.903612 INFO::Creating boxplot for categorical data, diagnosis vs F720
## 2026-05-30 07:41:11.106425 INFO::Creating boxplot for categorical data, diagnosis vs F520
## 2026-05-30 07:41:11.295282 INFO::Creating boxplot for categorical data, diagnosis vs F129
## 2026-05-30 07:41:11.492669 INFO::Creating boxplot for categorical data, diagnosis vs F204
## 2026-05-30 07:41:11.675412 INFO::Creating boxplot for categorical data, diagnosis vs F259
## 2026-05-30 07:41:11.858996 INFO::Creating boxplot for categorical data, diagnosis vs F831
## 2026-05-30 07:41:12.058738 INFO::Creating boxplot for categorical data, diagnosis vs F113
## 2026-05-30 07:41:12.245244 INFO::Creating boxplot for categorical data, diagnosis vs F891
## 2026-05-30 07:41:12.447192 INFO::Creating boxplot for categorical data, diagnosis vs F262
## 2026-05-30 07:41:12.632359 INFO::Creating boxplot for categorical data, diagnosis vs F592
## 2026-05-30 07:41:12.816381 INFO::Creating boxplot for categorical data, diagnosis vs F343
## 2026-05-30 07:41:13.017591 INFO::Creating boxplot for categorical data, diagnosis vs F505
## 2026-05-30 07:41:13.20369 INFO::Creating boxplot for categorical data, diagnosis vs F622
## 2026-05-30 07:41:13.401076 INFO::Creating boxplot for categorical data, diagnosis vs F348
## 2026-05-30 07:41:13.587805 INFO::Creating boxplot for categorical data, diagnosis vs F133
## 2026-05-30 07:41:13.772579 INFO::Creating boxplot for categorical data, diagnosis vs F371
## 2026-05-30 07:41:13.971594 INFO::Creating boxplot for categorical data, diagnosis vs F399
## 2026-05-30 07:41:14.157121 INFO::Creating boxplot for categorical data, diagnosis vs F657
## 2026-05-30 07:41:14.3567 INFO::Creating boxplot for categorical data, diagnosis vs F241
## 2026-05-30 07:41:14.545136 INFO::Creating boxplot for categorical data, diagnosis vs F95
## 2026-05-30 07:41:14.730372 INFO::Creating boxplot for categorical data, diagnosis vs F128
## 2026-05-30 07:41:14.929558 INFO::Creating boxplot for categorical data, diagnosis vs F595
## 2026-05-30 07:41:15.121898 INFO::Creating boxplot for categorical data, diagnosis vs F428
## 2026-05-30 07:41:15.320467 INFO::Creating boxplot for categorical data, diagnosis vs F796
## 2026-05-30 07:41:15.506757 INFO::Creating boxplot for categorical data, diagnosis vs F709
## 2026-05-30 07:41:15.69025 INFO::Creating boxplot for categorical data, diagnosis vs F336
## 2026-05-30 07:41:15.885504 INFO::Creating boxplot for categorical data, diagnosis vs F602
## 2026-05-30 07:41:16.074612 INFO::Creating boxplot for categorical data, diagnosis vs F108
## 2026-05-30 07:41:16.270249 INFO::Creating boxplot for categorical data, diagnosis vs F867
## 2026-05-30 07:41:16.452806 INFO::Creating boxplot for categorical data, diagnosis vs F293
## 2026-05-30 07:41:16.639989 INFO::Creating boxplot for categorical data, diagnosis vs F633
## 2026-05-30 07:41:16.839434 INFO::Creating boxplot for categorical data, diagnosis vs F564
## 2026-05-30 07:41:17.030326 INFO::Creating boxplot for categorical data, diagnosis vs F183
## 2026-05-30 07:41:17.228686 INFO::Creating boxplot for categorical data, diagnosis vs F647
## 2026-05-30 07:41:17.416052 INFO::Creating boxplot for categorical data, diagnosis vs F288
## 2026-05-30 07:41:17.615367 INFO::Creating boxplot for categorical data, diagnosis vs F159
## 2026-05-30 07:41:17.801491 INFO::Creating boxplot for categorical data, diagnosis vs F638
## 2026-05-30 07:41:17.988171 INFO::Creating boxplot for categorical data, diagnosis vs F484
## 2026-05-30 07:41:18.187831 INFO::Creating boxplot for categorical data, diagnosis vs F20
## 2026-05-30 07:41:18.372428 INFO::Creating boxplot for categorical data, diagnosis vs F19
## 2026-05-30 07:41:18.605786 INFO::Creating boxplot for categorical data, diagnosis vs F897
## 2026-05-30 07:41:18.792853 INFO::Creating boxplot for categorical data, diagnosis vs F442
## 2026-05-30 07:41:18.985664 INFO::Creating boxplot for categorical data, diagnosis vs F372
## 2026-05-30 07:41:19.199733 INFO::Creating boxplot for categorical data, diagnosis vs F771
## 2026-05-30 07:41:19.389178 INFO::Creating boxplot for categorical data, diagnosis vs F370
## 2026-05-30 07:41:19.592703 INFO::Creating boxplot for categorical data, diagnosis vs F620
## 2026-05-30 07:41:19.781804 INFO::Creating boxplot for categorical data, diagnosis vs F753
## 2026-05-30 07:41:19.975936 INFO::Creating boxplot for categorical data, diagnosis vs F568
## 2026-05-30 07:41:20.186557 INFO::Creating boxplot for categorical data, diagnosis vs F312
## 2026-05-30 07:41:20.372445 INFO::Creating boxplot for categorical data, diagnosis vs F485
## 2026-05-30 07:41:20.562703 INFO::Creating boxplot for categorical data, diagnosis vs F627
## 2026-05-30 07:41:20.772173 INFO::Creating boxplot for categorical data, diagnosis vs F72
## 2026-05-30 07:41:20.964894 INFO::Creating boxplot for categorical data, diagnosis vs F575
## 2026-05-30 07:41:21.1772 INFO::Creating boxplot for categorical data, diagnosis vs F332
## 2026-05-30 07:41:21.363375 INFO::Creating boxplot for categorical data, diagnosis vs F674
## 2026-05-30 07:41:21.553447 INFO::Creating boxplot for categorical data, diagnosis vs F537
## 2026-05-30 07:41:21.761843 INFO::Creating boxplot for categorical data, diagnosis vs F839
## 2026-05-30 07:41:21.953404 INFO::Creating boxplot for categorical data, diagnosis vs F768
## 2026-05-30 07:41:22.165102 INFO::Creating boxplot for categorical data, diagnosis vs F202
## 2026-05-30 07:41:22.352993 INFO::Creating boxplot for categorical data, diagnosis vs F715
## 2026-05-30 07:41:22.540636 INFO::Creating boxplot for categorical data, diagnosis vs F756
## 2026-05-30 07:41:22.746999 INFO::Creating boxplot for categorical data, diagnosis vs F536
## 2026-05-30 07:41:22.938396 INFO::Creating boxplot for categorical data, diagnosis vs F574
## 2026-05-30 07:41:23.14829 INFO::Creating boxplot for categorical data, diagnosis vs F435
## 2026-05-30 07:41:23.342306 INFO::Creating boxplot for categorical data, diagnosis vs F677
## 2026-05-30 07:41:23.531209 INFO::Creating boxplot for categorical data, diagnosis vs F70
## 2026-05-30 07:41:23.735797 INFO::Creating boxplot for categorical data, diagnosis vs F146
## 2026-05-30 07:41:23.922353 INFO::Creating boxplot for categorical data, diagnosis vs F236
## 2026-05-30 07:41:24.132028 INFO::Creating boxplot for categorical data, diagnosis vs F527
## 2026-05-30 07:41:24.323275 INFO::Creating boxplot for categorical data, diagnosis vs F624
## 2026-05-30 07:41:24.512684 INFO::Creating boxplot for categorical data, diagnosis vs F880
## 2026-05-30 07:41:24.717843 INFO::Creating boxplot for categorical data, diagnosis vs F426
## 2026-05-30 07:41:24.906408 INFO::Creating boxplot for categorical data, diagnosis vs F549
## 2026-05-30 07:41:25.118958 INFO::Creating boxplot for categorical data, diagnosis vs F49
## 2026-05-30 07:41:25.30774 INFO::Creating boxplot for categorical data, diagnosis vs F254
## 2026-05-30 07:41:25.496929 INFO::Creating boxplot for categorical data, diagnosis vs F67
## 2026-05-30 07:41:25.706354 INFO::Creating boxplot for categorical data, diagnosis vs F491
## 2026-05-30 07:41:25.900474 INFO::Creating boxplot for categorical data, diagnosis vs F174
## 2026-05-30 07:41:26.114475 INFO::Creating boxplot for categorical data, diagnosis vs F235
## 2026-05-30 07:41:26.297087 INFO::Creating boxplot for categorical data, diagnosis vs F112
## 2026-05-30 07:41:26.484301 INFO::Creating boxplot for categorical data, diagnosis vs F752
## 2026-05-30 07:41:26.689352 INFO::Creating boxplot for categorical data, diagnosis vs F833
## 2026-05-30 07:41:26.878048 INFO::Creating boxplot for categorical data, diagnosis vs F792
## 2026-05-30 07:41:27.093359 INFO::Creating boxplot for categorical data, diagnosis vs F422
## 2026-05-30 07:41:27.281001 INFO::Creating boxplot for categorical data, diagnosis vs F6
## 2026-05-30 07:41:27.480802 INFO::Creating boxplot for categorical data, diagnosis vs F706
## 2026-05-30 07:41:27.675105 INFO::Creating boxplot for categorical data, diagnosis vs F463
## 2026-05-30 07:41:27.863018 INFO::Creating boxplot for categorical data, diagnosis vs F642
## 2026-05-30 07:41:28.073685 INFO::Creating boxplot for categorical data, diagnosis vs F102
## 2026-05-30 07:41:28.262294 INFO::Creating boxplot for categorical data, diagnosis vs F65
## 2026-05-30 07:41:28.468291 INFO::Creating boxplot for categorical data, diagnosis vs F889
## 2026-05-30 07:41:28.65495 INFO::Creating boxplot for categorical data, diagnosis vs F681
## 2026-05-30 07:41:28.906741 INFO::Creating boxplot for categorical data, diagnosis vs F783
## 2026-05-30 07:41:29.102241 INFO::Creating boxplot for categorical data, diagnosis vs F748
## 2026-05-30 07:41:29.295296 INFO::Creating boxplot for categorical data, diagnosis vs F478
## 2026-05-30 07:41:29.501722 INFO::Creating boxplot for categorical data, diagnosis vs F762
## 2026-05-30 07:41:29.686253 INFO::Creating boxplot for categorical data, diagnosis vs F852
## 2026-05-30 07:41:29.874881 INFO::Creating boxplot for categorical data, diagnosis vs F180
## 2026-05-30 07:41:30.085721 INFO::Creating boxplot for categorical data, diagnosis vs F759
## 2026-05-30 07:41:30.276002 INFO::Creating boxplot for categorical data, diagnosis vs F824
## 2026-05-30 07:41:30.480514 INFO::Creating boxplot for categorical data, diagnosis vs F248
## 2026-05-30 07:41:30.671591 INFO::Creating boxplot for categorical data, diagnosis vs F145
## 2026-05-30 07:41:30.862955 INFO::Creating boxplot for categorical data, diagnosis vs F350
## 2026-05-30 07:41:31.075997 INFO::Creating boxplot for categorical data, diagnosis vs F16
## 2026-05-30 07:41:31.268759 INFO::Creating boxplot for categorical data, diagnosis vs F169
## 2026-05-30 07:41:31.465335 INFO::Creating boxplot for categorical data, diagnosis vs F392
## 2026-05-30 07:41:31.663059 INFO::Creating boxplot for categorical data, diagnosis vs F468
## 2026-05-30 07:41:31.855421 INFO::Creating boxplot for categorical data, diagnosis vs F476
## 2026-05-30 07:41:32.066848 INFO::Creating boxplot for categorical data, diagnosis vs F699
## 2026-05-30 07:41:32.25324 INFO::Creating boxplot for categorical data, diagnosis vs F735
## 2026-05-30 07:41:32.444629 INFO::Creating boxplot for categorical data, diagnosis vs F182
## 2026-05-30 07:41:32.647973 INFO::Creating boxplot for categorical data, diagnosis vs F203
## 2026-05-30 07:41:32.840186 INFO::Creating boxplot for categorical data, diagnosis vs F877
## 2026-05-30 07:41:33.051754 INFO::Creating boxplot for categorical data, diagnosis vs F433
## 2026-05-30 07:41:33.243346 INFO::Creating boxplot for categorical data, diagnosis vs F739
## 2026-05-30 07:41:33.437216 INFO::Creating boxplot for categorical data, diagnosis vs F749
## 2026-05-30 07:41:33.645565 INFO::Creating boxplot for categorical data, diagnosis vs F382
## 2026-05-30 07:41:33.835052 INFO::Creating boxplot for categorical data, diagnosis vs F438
## 2026-05-30 07:41:34.04642 INFO::Creating boxplot for categorical data, diagnosis vs F360
## 2026-05-30 07:41:34.236372 INFO::Creating boxplot for categorical data, diagnosis vs F56
## 2026-05-30 07:41:34.429529 INFO::Creating boxplot for categorical data, diagnosis vs F48
## 2026-05-30 07:41:34.633801 INFO::Creating boxplot for categorical data, diagnosis vs F162
## 2026-05-30 07:41:34.827294 INFO::Creating boxplot for categorical data, diagnosis vs F529
## 2026-05-30 07:41:35.040313 INFO::Creating boxplot for categorical data, diagnosis vs F826
## 2026-05-30 07:41:35.232377 INFO::Creating boxplot for categorical data, diagnosis vs F488
## 2026-05-30 07:41:35.426187 INFO::Creating boxplot for categorical data, diagnosis vs F309
## 2026-05-30 07:41:35.626841 INFO::Creating boxplot for categorical data, diagnosis vs F834
## 2026-05-30 07:41:35.818326 INFO::Creating boxplot for categorical data, diagnosis vs F449
## 2026-05-30 07:41:36.030457 INFO::Creating boxplot for categorical data, diagnosis vs F77
## 2026-05-30 07:41:36.220224 INFO::Creating boxplot for categorical data, diagnosis vs F365
## 2026-05-30 07:41:36.425583 INFO::Creating boxplot for categorical data, diagnosis vs F346
## 2026-05-30 07:41:36.619132 INFO::Creating boxplot for categorical data, diagnosis vs F654
## 2026-05-30 07:41:36.812176 INFO::Creating boxplot for categorical data, diagnosis vs F64
## 2026-05-30 07:41:37.019207 INFO::Creating boxplot for categorical data, diagnosis vs F79
## 2026-05-30 07:41:37.21254 INFO::Creating boxplot for categorical data, diagnosis vs F785
## 2026-05-30 07:41:37.419562 INFO::Creating boxplot for categorical data, diagnosis vs F415
## 2026-05-30 07:41:37.606897 INFO::Creating boxplot for categorical data, diagnosis vs F466
## 2026-05-30 07:41:37.798134 INFO::Creating boxplot for categorical data, diagnosis vs F643
## 2026-05-30 07:41:38.005231 INFO::Creating boxplot for categorical data, diagnosis vs F160
## 2026-05-30 07:41:38.1986 INFO::Creating boxplot for categorical data, diagnosis vs F69
## 2026-05-30 07:41:38.40082 INFO::Creating boxplot for categorical data, diagnosis vs F498
## 2026-05-30 07:41:38.590497 INFO::Creating boxplot for categorical data, diagnosis vs F207
## 2026-05-30 07:41:38.798304 INFO::Creating boxplot for categorical data, diagnosis vs F679
## 2026-05-30 07:41:38.988753 INFO::Creating boxplot for categorical data, diagnosis vs F255
## 2026-05-30 07:41:39.183019 INFO::Creating boxplot for categorical data, diagnosis vs F267
## 2026-05-30 07:41:39.436428 INFO::Creating boxplot for categorical data, diagnosis vs F143
## 2026-05-30 07:41:39.628235 INFO::Creating boxplot for categorical data, diagnosis vs F286
## 2026-05-30 07:41:39.83785 INFO::Creating boxplot for categorical data, diagnosis vs F618
## 2026-05-30 07:41:40.036529 INFO::Creating boxplot for categorical data, diagnosis vs F100
## 2026-05-30 07:41:40.233996 INFO::Creating boxplot for categorical data, diagnosis vs F562
## 2026-05-30 07:41:40.450769 INFO::Creating boxplot for categorical data, diagnosis vs F374
## 2026-05-30 07:41:40.644474 INFO::Creating boxplot for categorical data, diagnosis vs F535
## 2026-05-30 07:41:40.846712 INFO::Creating boxplot for categorical data, diagnosis vs F658
## 2026-05-30 07:41:41.058115 INFO::Creating boxplot for categorical data, diagnosis vs F707
## 2026-05-30 07:41:41.251508 INFO::Creating boxplot for categorical data, diagnosis vs F214
## 2026-05-30 07:41:41.469991 INFO::Creating boxplot for categorical data, diagnosis vs F89
## 2026-05-30 07:41:41.659067 INFO::Creating boxplot for categorical data, diagnosis vs F325
## 2026-05-30 07:41:41.852836 INFO::Creating boxplot for categorical data, diagnosis vs F578
## 2026-05-30 07:41:42.072189 INFO::Creating boxplot for categorical data, diagnosis vs F790
## 2026-05-30 07:41:42.264194 INFO::Creating boxplot for categorical data, diagnosis vs F265
## 2026-05-30 07:41:42.482645 INFO::Creating boxplot for categorical data, diagnosis vs F253
## 2026-05-30 07:41:42.671188 INFO::Creating boxplot for categorical data, diagnosis vs F294
## 2026-05-30 07:41:42.8645 INFO::Creating boxplot for categorical data, diagnosis vs F410
## 2026-05-30 07:41:43.088747 INFO::Creating boxplot for categorical data, diagnosis vs F764
## 2026-05-30 07:41:43.284149 INFO::Creating boxplot for categorical data, diagnosis vs F614
## 2026-05-30 07:41:43.493268 INFO::Creating boxplot for categorical data, diagnosis vs F675
## 2026-05-30 07:41:43.687987 INFO::Creating boxplot for categorical data, diagnosis vs F193
## 2026-05-30 07:41:43.881341 INFO::Creating boxplot for categorical data, diagnosis vs F441
## 2026-05-30 07:41:44.098329 INFO::Creating boxplot for categorical data, diagnosis vs F689
## 2026-05-30 07:41:44.289522 INFO::Creating boxplot for categorical data, diagnosis vs F249
## 2026-05-30 07:41:44.505142 INFO::Creating boxplot for categorical data, diagnosis vs F821
## 2026-05-30 07:41:44.700749 INFO::Creating boxplot for categorical data, diagnosis vs F351
## 2026-05-30 07:41:44.896425 INFO::Creating boxplot for categorical data, diagnosis vs F66
## 2026-05-30 07:41:45.120932 INFO::Creating boxplot for categorical data, diagnosis vs F172
## 2026-05-30 07:41:45.315637 INFO::Creating boxplot for categorical data, diagnosis vs F413
## 2026-05-30 07:41:45.529731 INFO::Creating boxplot for categorical data, diagnosis vs F317
## 2026-05-30 07:41:45.719151 INFO::Creating boxplot for categorical data, diagnosis vs F167
## 2026-05-30 07:41:45.913859 INFO::Creating boxplot for categorical data, diagnosis vs F229
## 2026-05-30 07:41:46.133989 INFO::Creating boxplot for categorical data, diagnosis vs F243
## 2026-05-30 07:41:46.326846 INFO::Creating boxplot for categorical data, diagnosis vs F732
## 2026-05-30 07:41:46.544443 INFO::Creating boxplot for categorical data, diagnosis vs F467
## 2026-05-30 07:41:46.736376 INFO::Creating boxplot for categorical data, diagnosis vs F474
## 2026-05-30 07:41:46.933772 INFO::Creating boxplot for categorical data, diagnosis vs F156
## 2026-05-30 07:41:47.157581 INFO::Creating boxplot for categorical data, diagnosis vs F786
## 2026-05-30 07:41:47.35138 INFO::Creating boxplot for categorical data, diagnosis vs F216
## 2026-05-30 07:41:47.564196 INFO::Creating boxplot for categorical data, diagnosis vs F85
## 2026-05-30 07:41:47.75367 INFO::Creating boxplot for categorical data, diagnosis vs F558
## 2026-05-30 07:41:47.970323 INFO::Creating boxplot for categorical data, diagnosis vs F621
## 2026-05-30 07:41:48.166782 INFO::Creating boxplot for categorical data, diagnosis vs F582
## 2026-05-30 07:41:48.35968 INFO::Creating boxplot for categorical data, diagnosis vs F898
## 2026-05-30 07:41:48.575558 INFO::Creating boxplot for categorical data, diagnosis vs F402
## 2026-05-30 07:41:48.774736 INFO::Creating boxplot for categorical data, diagnosis vs F71
## 2026-05-30 07:41:49.000062 INFO::Creating boxplot for categorical data, diagnosis vs F99
## 2026-05-30 07:41:49.194037 INFO::Creating boxplot for categorical data, diagnosis vs F188
## 2026-05-30 07:41:49.403323 INFO::Creating boxplot for categorical data, diagnosis vs F366
## 2026-05-30 07:41:49.601667 INFO::Creating boxplot for categorical data, diagnosis vs F778
## 2026-05-30 07:41:49.79701 INFO::Creating boxplot for categorical data, diagnosis vs F857
## 2026-05-30 07:41:50.070469 INFO::Creating boxplot for categorical data, diagnosis vs F440
## 2026-05-30 07:41:50.272307 INFO::Creating boxplot for categorical data, diagnosis vs F799
## 2026-05-30 07:41:50.48874 INFO::Creating boxplot for categorical data, diagnosis vs F482
## 2026-05-30 07:41:50.67924 INFO::Creating boxplot for categorical data, diagnosis vs F212
## 2026-05-30 07:41:50.874012 INFO::Creating boxplot for categorical data, diagnosis vs F882
## 2026-05-30 07:41:51.099706 INFO::Creating boxplot for categorical data, diagnosis vs F599
## 2026-05-30 07:41:51.298436 INFO::Creating boxplot for categorical data, diagnosis vs F302
## 2026-05-30 07:41:51.493226 INFO::Creating boxplot for categorical data, diagnosis vs F543
## 2026-05-30 07:41:51.713096 INFO::Creating boxplot for categorical data, diagnosis vs F269
## 2026-05-30 07:41:51.914218 INFO::Creating boxplot for categorical data, diagnosis vs F650
## 2026-05-30 07:41:52.136261 INFO::Creating boxplot for categorical data, diagnosis vs F573
## 2026-05-30 07:41:52.331169 INFO::Creating boxplot for categorical data, diagnosis vs F8
## 2026-05-30 07:41:52.53 INFO::Creating boxplot for categorical data, diagnosis vs F810
## 2026-05-30 07:41:52.745584 INFO::Creating boxplot for categorical data, diagnosis vs F456
## 2026-05-30 07:41:52.940656 INFO::Creating boxplot for categorical data, diagnosis vs F37
## 2026-05-30 07:41:53.157499 INFO::Creating boxplot for categorical data, diagnosis vs F401
## 2026-05-30 07:41:53.350116 INFO::Creating boxplot for categorical data, diagnosis vs F871
## 2026-05-30 07:41:53.54358 INFO::Creating boxplot for categorical data, diagnosis vs F606
## 2026-05-30 07:41:53.753566 INFO::Creating boxplot for categorical data, diagnosis vs F662
## 2026-05-30 07:41:53.951569 INFO::Creating boxplot for categorical data, diagnosis vs F887
## 2026-05-30 07:41:54.167964 INFO::Creating boxplot for categorical data, diagnosis vs F765
## 2026-05-30 07:41:54.361272 INFO::Creating boxplot for categorical data, diagnosis vs F770
## 2026-05-30 07:41:54.553713 INFO::Creating boxplot for categorical data, diagnosis vs F469
## 2026-05-30 07:41:54.763552 INFO::Creating boxplot for categorical data, diagnosis vs F86
## 2026-05-30 07:41:54.961118 INFO::Creating boxplot for categorical data, diagnosis vs F579
## 2026-05-30 07:41:55.176522 INFO::Creating boxplot for categorical data, diagnosis vs F400
## 2026-05-30 07:41:55.367353 INFO::Creating boxplot for categorical data, diagnosis vs F446
## 2026-05-30 07:41:55.562582 INFO::Creating boxplot for categorical data, diagnosis vs F321
## 2026-05-30 07:41:55.773166 INFO::Creating boxplot for categorical data, diagnosis vs F218
## 2026-05-30 07:41:55.968618 INFO::Creating boxplot for categorical data, diagnosis vs F141
## 2026-05-30 07:41:56.182065 INFO::Creating boxplot for categorical data, diagnosis vs F487
## 2026-05-30 07:41:56.372347 INFO::Creating boxplot for categorical data, diagnosis vs F740
## 2026-05-30 07:41:56.566944 INFO::Creating boxplot for categorical data, diagnosis vs F327
## 2026-05-30 07:41:56.776425 INFO::Creating boxplot for categorical data, diagnosis vs F196
## 2026-05-30 07:41:56.97372 INFO::Creating boxplot for categorical data, diagnosis vs F883
## 2026-05-30 07:41:57.190654 INFO::Creating boxplot for categorical data, diagnosis vs F279
## 2026-05-30 07:41:57.382648 INFO::Creating boxplot for categorical data, diagnosis vs F451
## 2026-05-30 07:41:57.581547 INFO::Creating boxplot for categorical data, diagnosis vs F838
## 2026-05-30 07:41:57.801755 INFO::Creating boxplot for categorical data, diagnosis vs F854
## 2026-05-30 07:41:58.002182 INFO::Creating boxplot for categorical data, diagnosis vs F434
## 2026-05-30 07:41:58.219763 INFO::Creating boxplot for categorical data, diagnosis vs F519
## 2026-05-30 07:41:58.415532 INFO::Creating boxplot for categorical data, diagnosis vs F694
## 2026-05-30 07:41:58.633256 INFO::Creating boxplot for categorical data, diagnosis vs F561
## 2026-05-30 07:41:58.830148 INFO::Creating boxplot for categorical data, diagnosis vs F10
## 2026-05-30 07:41:59.035066 INFO::Creating boxplot for categorical data, diagnosis vs F303
## 2026-05-30 07:41:59.253687 INFO::Creating boxplot for categorical data, diagnosis vs F645
## 2026-05-30 07:41:59.452131 INFO::Creating boxplot for categorical data, diagnosis vs F793
## 2026-05-30 07:41:59.666593 INFO::Creating boxplot for categorical data, diagnosis vs F404
## 2026-05-30 07:41:59.861232 INFO::Creating boxplot for categorical data, diagnosis vs F525
## 2026-05-30 07:42:00.077864 INFO::Creating boxplot for categorical data, diagnosis vs F362
## 2026-05-30 07:42:00.28039 INFO::Creating boxplot for categorical data, diagnosis vs F742
## 2026-05-30 07:42:00.476901 INFO::Creating boxplot for categorical data, diagnosis vs F276
## 2026-05-30 07:42:01.162013 INFO::Creating boxplot for categorical data, diagnosis vs F512
## 2026-05-30 07:42:01.335159 INFO::Creating boxplot for categorical data, diagnosis vs F499
## 2026-05-30 07:42:01.514502 INFO::Creating boxplot for categorical data, diagnosis vs F328
## 2026-05-30 07:42:01.688022 INFO::Creating boxplot for categorical data, diagnosis vs F787
## 2026-05-30 07:42:01.862876 INFO::Creating boxplot for categorical data, diagnosis vs F30
## 2026-05-30 07:42:02.047221 INFO::Creating boxplot for categorical data, diagnosis vs F122
## 2026-05-30 07:42:02.223309 INFO::Creating boxplot for categorical data, diagnosis vs F572
## 2026-05-30 07:42:02.404309 INFO::Creating boxplot for categorical data, diagnosis vs F619
## 2026-05-30 07:42:02.583113 INFO::Creating boxplot for categorical data, diagnosis vs F570
## 2026-05-30 07:42:02.754075 INFO::Creating boxplot for categorical data, diagnosis vs F47
## 2026-05-30 07:42:02.934701 INFO::Creating boxplot for categorical data, diagnosis vs F26
## 2026-05-30 07:42:03.110166 INFO::Creating boxplot for categorical data, diagnosis vs F252
## 2026-05-30 07:42:03.285201 INFO::Creating boxplot for categorical data, diagnosis vs F117
## 2026-05-30 07:42:03.464509 INFO::Creating boxplot for categorical data, diagnosis vs F395
## 2026-05-30 07:42:03.638155 INFO::Creating boxplot for categorical data, diagnosis vs F683
## 2026-05-30 07:42:03.822025 INFO::Creating boxplot for categorical data, diagnosis vs F822
## 2026-05-30 07:42:03.99853 INFO::Creating boxplot for categorical data, diagnosis vs F46
## 2026-05-30 07:42:04.175032 INFO::Creating boxplot for categorical data, diagnosis vs F154
## 2026-05-30 07:42:04.36076 INFO::Creating boxplot for categorical data, diagnosis vs F884
## 2026-05-30 07:42:04.533979 INFO::Creating boxplot for categorical data, diagnosis vs F540
## 2026-05-30 07:42:04.709939 INFO::Creating boxplot for categorical data, diagnosis vs F368
## 2026-05-30 07:42:04.890485 INFO::Creating boxplot for categorical data, diagnosis vs F607
## 2026-05-30 07:42:05.068839 INFO::Creating boxplot for categorical data, diagnosis vs F111
## 2026-05-30 07:42:05.251032 INFO::Creating boxplot for categorical data, diagnosis vs F745
## 2026-05-30 07:42:05.426476 INFO::Creating boxplot for categorical data, diagnosis vs F673
## 2026-05-30 07:42:05.601665 INFO::Creating boxplot for categorical data, diagnosis vs F92
## 2026-05-30 07:42:05.781032 INFO::Creating boxplot for categorical data, diagnosis vs F493
## 2026-05-30 07:42:05.95702 INFO::Creating boxplot for categorical data, diagnosis vs F518
## 2026-05-30 07:42:06.13917 INFO::Creating boxplot for categorical data, diagnosis vs F835
## 2026-05-30 07:42:06.315618 INFO::Creating boxplot for categorical data, diagnosis vs F872
## 2026-05-30 07:42:06.490303 INFO::Creating boxplot for categorical data, diagnosis vs F879
## 2026-05-30 07:42:06.672271 INFO::Creating boxplot for categorical data, diagnosis vs F432
## 2026-05-30 07:42:06.848428 INFO::Creating boxplot for categorical data, diagnosis vs F44
## 2026-05-30 07:42:07.033717 INFO::Creating boxplot for categorical data, diagnosis vs F819
## 2026-05-30 07:42:07.209135 INFO::Creating boxplot for categorical data, diagnosis vs F411
## 2026-05-30 07:42:07.388105 INFO::Creating boxplot for categorical data, diagnosis vs F353
## 2026-05-30 07:42:07.571206 INFO::Creating boxplot for categorical data, diagnosis vs F763
## 2026-05-30 07:42:07.750455 INFO::Creating boxplot for categorical data, diagnosis vs F40
## 2026-05-30 07:42:07.937606 INFO::Creating boxplot for categorical data, diagnosis vs F97
## 2026-05-30 07:42:08.116343 INFO::Creating boxplot for categorical data, diagnosis vs F240
## 2026-05-30 07:42:08.299817 INFO::Creating boxplot for categorical data, diagnosis vs F652
## 2026-05-30 07:42:08.474225 INFO::Creating boxplot for categorical data, diagnosis vs F789
## 2026-05-30 07:42:08.652041 INFO::Creating boxplot for categorical data, diagnosis vs F256
## 2026-05-30 07:42:08.835802 INFO::Creating boxplot for categorical data, diagnosis vs F25
## 2026-05-30 07:42:09.016167 INFO::Creating boxplot for categorical data, diagnosis vs F423
## 2026-05-30 07:42:09.202716 INFO::Creating boxplot for categorical data, diagnosis vs F594
## 2026-05-30 07:42:09.37786 INFO::Creating boxplot for categorical data, diagnosis vs F201
## 2026-05-30 07:42:09.557281 INFO::Creating boxplot for categorical data, diagnosis vs F813
## 2026-05-30 07:42:09.739895 INFO::Creating boxplot for categorical data, diagnosis vs F653
## 2026-05-30 07:42:09.91617 INFO::Creating boxplot for categorical data, diagnosis vs F524
## 2026-05-30 07:42:10.102826 INFO::Creating boxplot for categorical data, diagnosis vs F777
## 2026-05-30 07:42:10.278996 INFO::Creating boxplot for categorical data, diagnosis vs F226
## 2026-05-30 07:42:10.514125 INFO::Creating boxplot for categorical data, diagnosis vs F227
## 2026-05-30 07:42:10.697701 INFO::Creating boxplot for categorical data, diagnosis vs F521
## 2026-05-30 07:42:10.880267 INFO::Creating boxplot for categorical data, diagnosis vs F310
## 2026-05-30 07:42:11.082603 INFO::Creating boxplot for categorical data, diagnosis vs F452
## 2026-05-30 07:42:11.265468 INFO::Creating boxplot for categorical data, diagnosis vs F14
## 2026-05-30 07:42:11.447595 INFO::Creating boxplot for categorical data, diagnosis vs F52
## 2026-05-30 07:42:11.64542 INFO::Creating boxplot for categorical data, diagnosis vs F53
## 2026-05-30 07:42:11.827853 INFO::Creating boxplot for categorical data, diagnosis vs F844
## 2026-05-30 07:42:12.027682 INFO::Creating boxplot for categorical data, diagnosis vs F31
## 2026-05-30 07:42:12.209928 INFO::Creating boxplot for categorical data, diagnosis vs F766
## 2026-05-30 07:42:12.392025 INFO::Creating boxplot for categorical data, diagnosis vs F795
## 2026-05-30 07:42:12.585046 INFO::Creating boxplot for categorical data, diagnosis vs F342
## 2026-05-30 07:42:12.770154 INFO::Creating boxplot for categorical data, diagnosis vs F282
## 2026-05-30 07:42:12.964503 INFO::Creating boxplot for categorical data, diagnosis vs F508
## 2026-05-30 07:42:13.157288 INFO::Creating boxplot for categorical data, diagnosis vs F408
## 2026-05-30 07:42:13.339852 INFO::Creating boxplot for categorical data, diagnosis vs F805
## 2026-05-30 07:42:13.537956 INFO::Creating boxplot for categorical data, diagnosis vs F337
## 2026-05-30 07:42:13.721418 INFO::Creating boxplot for categorical data, diagnosis vs F820
## 2026-05-30 07:42:13.903936 INFO::Creating boxplot for categorical data, diagnosis vs F593
## 2026-05-30 07:42:14.106988 INFO::Creating boxplot for categorical data, diagnosis vs F459
## 2026-05-30 07:42:14.287472 INFO::Creating boxplot for categorical data, diagnosis vs F701
## 2026-05-30 07:42:14.483367 INFO::Creating boxplot for categorical data, diagnosis vs F142
## 2026-05-30 07:42:14.665125 INFO::Creating boxplot for categorical data, diagnosis vs F305
## 2026-05-30 07:42:14.849723 INFO::Creating boxplot for categorical data, diagnosis vs F534
## 2026-05-30 07:42:15.052652 INFO::Creating boxplot for categorical data, diagnosis vs F135
## 2026-05-30 07:42:15.235406 INFO::Creating boxplot for categorical data, diagnosis vs F702
## 2026-05-30 07:42:15.432369 INFO::Creating boxplot for categorical data, diagnosis vs F776
## 2026-05-30 07:42:15.614968 INFO::Creating boxplot for categorical data, diagnosis vs F295
## 2026-05-30 07:42:15.798617 INFO::Creating boxplot for categorical data, diagnosis vs F355
## 2026-05-30 07:42:15.997507 INFO::Creating boxplot for categorical data, diagnosis vs F797
## 2026-05-30 07:42:16.183143 INFO::Creating boxplot for categorical data, diagnosis vs F13
## 2026-05-30 07:42:16.380466 INFO::Creating boxplot for categorical data, diagnosis vs F356
## 2026-05-30 07:42:16.565318 INFO::Creating boxplot for categorical data, diagnosis vs F359
## 2026-05-30 07:42:16.748959 INFO::Creating boxplot for categorical data, diagnosis vs F121
## 2026-05-30 07:42:16.951692 INFO::Creating boxplot for categorical data, diagnosis vs F850
## 2026-05-30 07:42:17.140193 INFO::Creating boxplot for categorical data, diagnosis vs F899
## 2026-05-30 07:42:17.341255 INFO::Creating boxplot for categorical data, diagnosis vs F628
## 2026-05-30 07:42:17.521969 INFO::Creating boxplot for categorical data, diagnosis vs F107
## 2026-05-30 07:42:17.710799 INFO::Creating boxplot for categorical data, diagnosis vs F287
## 2026-05-30 07:42:17.899486 INFO::Creating boxplot for categorical data, diagnosis vs F557
## 2026-05-30 07:42:18.08527 INFO::Creating boxplot for categorical data, diagnosis vs F165
## 2026-05-30 07:42:18.276396 INFO::Creating boxplot for categorical data, diagnosis vs F127
## 2026-05-30 07:42:18.457593 INFO::Creating boxplot for categorical data, diagnosis vs F299
## 2026-05-30 07:42:18.652082 INFO::Creating boxplot for categorical data, diagnosis vs F497
## 2026-05-30 07:42:18.833586 INFO::Creating boxplot for categorical data, diagnosis vs F711
## 2026-05-30 07:42:19.017967 INFO::Creating boxplot for categorical data, diagnosis vs F319
## 2026-05-30 07:42:19.212587 INFO::Creating boxplot for categorical data, diagnosis vs F271
## 2026-05-30 07:42:19.392645 INFO::Creating boxplot for categorical data, diagnosis vs F157
## 2026-05-30 07:42:19.586745 INFO::Creating boxplot for categorical data, diagnosis vs F560
## 2026-05-30 07:42:19.770145 INFO::Creating boxplot for categorical data, diagnosis vs F680
## 2026-05-30 07:42:19.96596 INFO::Creating boxplot for categorical data, diagnosis vs F580
## 2026-05-30 07:42:20.152241 INFO::Creating boxplot for categorical data, diagnosis vs F152
## 2026-05-30 07:42:20.332891 INFO::Creating boxplot for categorical data, diagnosis vs F12
## 2026-05-30 07:42:20.568281 INFO::Creating boxplot for categorical data, diagnosis vs F324
## 2026-05-30 07:42:20.753092 INFO::Creating boxplot for categorical data, diagnosis vs F893
## 2026-05-30 07:42:20.956743 INFO::Creating boxplot for categorical data, diagnosis vs F318
## 2026-05-30 07:42:21.156559 INFO::Creating boxplot for categorical data, diagnosis vs F784
## 2026-05-30 07:42:21.346336 INFO::Creating boxplot for categorical data, diagnosis vs F567
## 2026-05-30 07:42:21.554341 INFO::Creating boxplot for categorical data, diagnosis vs F457
## 2026-05-30 07:42:21.742038 INFO::Creating boxplot for categorical data, diagnosis vs F708
## 2026-05-30 07:42:21.933454 INFO::Creating boxplot for categorical data, diagnosis vs F669
## 2026-05-30 07:42:22.144815 INFO::Creating boxplot for categorical data, diagnosis vs F87
## 2026-05-30 07:42:22.333971 INFO::Creating boxplot for categorical data, diagnosis vs F730
## 2026-05-30 07:42:24.537382 INFO::Plotting data for metadata number 2, antibiotics
## 2026-05-30 07:42:24.538725 INFO::Creating boxplot for categorical data, antibiotics vs F663
## 2026-05-30 07:42:24.757064 INFO::Creating boxplot for categorical data, antibiotics vs F838
## 2026-05-30 07:42:24.954489 INFO::Creating boxplot for categorical data, antibiotics vs F764
## 2026-05-30 07:42:25.158977 INFO::Creating boxplot for categorical data, antibiotics vs F880
## 2026-05-30 07:42:25.374486 INFO::Creating boxplot for categorical data, antibiotics vs F751
## 2026-05-30 07:42:25.570158 INFO::Creating boxplot for categorical data, antibiotics vs F288
## 2026-05-30 07:42:25.784304 INFO::Creating boxplot for categorical data, antibiotics vs F65
## 2026-05-30 07:42:25.981923 INFO::Creating boxplot for categorical data, antibiotics vs F742
## 2026-05-30 07:42:26.196591 INFO::Creating boxplot for categorical data, antibiotics vs F528
## 2026-05-30 07:42:26.39831 INFO::Creating boxplot for categorical data, antibiotics vs F790
## 2026-05-30 07:42:26.596494 INFO::Creating boxplot for categorical data, antibiotics vs F777
## 2026-05-30 07:42:26.812254 INFO::Creating boxplot for categorical data, antibiotics vs F178
## 2026-05-30 07:42:27.011549 INFO::Creating boxplot for categorical data, antibiotics vs F139
## 2026-05-30 07:42:27.229232 INFO::Creating boxplot for categorical data, antibiotics vs F202
## 2026-05-30 07:42:27.424478 INFO::Creating boxplot for categorical data, antibiotics vs F220
## 2026-05-30 07:42:27.630666 INFO::Creating boxplot for categorical data, antibiotics vs F397
## 2026-05-30 07:42:27.838307 INFO::Creating boxplot for categorical data, antibiotics vs F882
## 2026-05-30 07:42:28.043281 INFO::Creating boxplot for categorical data, antibiotics vs F446
## 2026-05-30 07:42:28.262071 INFO::Creating boxplot for categorical data, antibiotics vs F418
## 2026-05-30 07:42:28.458969 INFO::Creating boxplot for categorical data, antibiotics vs F133
## 2026-05-30 07:42:28.672459 INFO::Creating boxplot for categorical data, antibiotics vs F696
## 2026-05-30 07:42:28.867501 INFO::Creating boxplot for categorical data, antibiotics vs F548
## 2026-05-30 07:42:29.088128 INFO::Creating boxplot for categorical data, antibiotics vs F536
## 2026-05-30 07:42:29.289161 INFO::Creating boxplot for categorical data, antibiotics vs F194
## 2026-05-30 07:42:29.485162 INFO::Creating boxplot for categorical data, antibiotics vs F34
## 2026-05-30 07:42:29.6999 INFO::Creating boxplot for categorical data, antibiotics vs F153
## 2026-05-30 07:42:29.895849 INFO::Creating boxplot for categorical data, antibiotics vs F400
## 2026-05-30 07:42:30.117555 INFO::Creating boxplot for categorical data, antibiotics vs F794
## 2026-05-30 07:42:30.314347 INFO::Creating boxplot for categorical data, antibiotics vs F396
## 2026-05-30 07:42:30.539054 INFO::Creating boxplot for categorical data, antibiotics vs F182
## 2026-05-30 07:42:30.737411 INFO::Creating boxplot for categorical data, antibiotics vs F719
## 2026-05-30 07:42:30.951579 INFO::Creating boxplot for categorical data, antibiotics vs F180
## 2026-05-30 07:42:31.158703 INFO::Creating boxplot for categorical data, antibiotics vs F552
## 2026-05-30 07:42:31.352979 INFO::Creating boxplot for categorical data, antibiotics vs F789
## 2026-05-30 07:42:31.629623 INFO::Creating boxplot for categorical data, antibiotics vs F893
## 2026-05-30 07:42:31.834146 INFO::Creating boxplot for categorical data, antibiotics vs F834
## 2026-05-30 07:42:32.05601 INFO::Creating boxplot for categorical data, antibiotics vs F889
## 2026-05-30 07:42:32.254981 INFO::Creating boxplot for categorical data, antibiotics vs F143
## 2026-05-30 07:42:32.467353 INFO::Creating boxplot for categorical data, antibiotics vs F224
## 2026-05-30 07:42:32.672427 INFO::Creating boxplot for categorical data, antibiotics vs F109
## 2026-05-30 07:42:32.872362 INFO::Creating boxplot for categorical data, antibiotics vs F5
## 2026-05-30 07:42:33.091321 INFO::Creating boxplot for categorical data, antibiotics vs F873
## 2026-05-30 07:42:33.294953 INFO::Creating boxplot for categorical data, antibiotics vs F681
## 2026-05-30 07:42:33.511688 INFO::Creating boxplot for categorical data, antibiotics vs F452
## 2026-05-30 07:42:33.711633 INFO::Creating boxplot for categorical data, antibiotics vs F468
## 2026-05-30 07:42:33.913109 INFO::Creating boxplot for categorical data, antibiotics vs F731
## 2026-05-30 07:42:34.133271 INFO::Creating boxplot for categorical data, antibiotics vs F479
## 2026-05-30 07:42:34.333445 INFO::Creating boxplot for categorical data, antibiotics vs F520
## 2026-05-30 07:42:34.551014 INFO::Creating boxplot for categorical data, antibiotics vs F649
## 2026-05-30 07:42:34.751598 INFO::Creating boxplot for categorical data, antibiotics vs F259
## 2026-05-30 07:42:34.970501 INFO::Creating boxplot for categorical data, antibiotics vs F186
## 2026-05-30 07:42:35.175362 INFO::Creating boxplot for categorical data, antibiotics vs F477
## 2026-05-30 07:42:35.377831 INFO::Creating boxplot for categorical data, antibiotics vs F312
## 2026-05-30 07:42:35.59114 INFO::Creating boxplot for categorical data, antibiotics vs F4
## 2026-05-30 07:42:35.793817 INFO::Creating boxplot for categorical data, antibiotics vs F632
## 2026-05-30 07:42:36.013433 INFO::Creating boxplot for categorical data, antibiotics vs F31
## 2026-05-30 07:42:36.214311 INFO::Creating boxplot for categorical data, antibiotics vs F184
## 2026-05-30 07:42:36.437155 INFO::Creating boxplot for categorical data, antibiotics vs F7
## 2026-05-30 07:42:36.639217 INFO::Creating boxplot for categorical data, antibiotics vs F213
## 2026-05-30 07:42:36.842973 INFO::Creating boxplot for categorical data, antibiotics vs F828
## 2026-05-30 07:42:37.065484 INFO::Creating boxplot for categorical data, antibiotics vs F831
## 2026-05-30 07:42:37.267883 INFO::Creating boxplot for categorical data, antibiotics vs F315
## 2026-05-30 07:42:37.480047 INFO::Creating boxplot for categorical data, antibiotics vs F691
## 2026-05-30 07:42:37.68112 INFO::Creating boxplot for categorical data, antibiotics vs F159
## 2026-05-30 07:42:37.898194 INFO::Creating boxplot for categorical data, antibiotics vs F331
## 2026-05-30 07:42:38.102093 INFO::Creating boxplot for categorical data, antibiotics vs F757
## 2026-05-30 07:42:38.315988 INFO::Creating boxplot for categorical data, antibiotics vs F167
## 2026-05-30 07:42:38.521204 INFO::Creating boxplot for categorical data, antibiotics vs F85
## 2026-05-30 07:42:38.722782 INFO::Creating boxplot for categorical data, antibiotics vs F80
## 2026-05-30 07:42:38.941715 INFO::Creating boxplot for categorical data, antibiotics vs F105
## 2026-05-30 07:42:39.146721 INFO::Creating boxplot for categorical data, antibiotics vs F674
## 2026-05-30 07:42:39.358283 INFO::Creating boxplot for categorical data, antibiotics vs F50
## 2026-05-30 07:42:39.558654 INFO::Creating boxplot for categorical data, antibiotics vs F164
## 2026-05-30 07:42:39.773357 INFO::Creating boxplot for categorical data, antibiotics vs F840
## 2026-05-30 07:42:39.981466 INFO::Creating boxplot for categorical data, antibiotics vs F232
## 2026-05-30 07:42:40.202942 INFO::Creating boxplot for categorical data, antibiotics vs F872
## 2026-05-30 07:42:40.401035 INFO::Creating boxplot for categorical data, antibiotics vs F54
## 2026-05-30 07:42:40.615619 INFO::Creating boxplot for categorical data, antibiotics vs F365
## 2026-05-30 07:42:40.824848 INFO::Creating boxplot for categorical data, antibiotics vs F499
## 2026-05-30 07:42:41.034445 INFO::Creating boxplot for categorical data, antibiotics vs F510
## 2026-05-30 07:42:41.255927 INFO::Creating boxplot for categorical data, antibiotics vs F716
## 2026-05-30 07:42:41.457253 INFO::Creating boxplot for categorical data, antibiotics vs F454
## 2026-05-30 07:42:41.716142 INFO::Creating boxplot for categorical data, antibiotics vs F52
## 2026-05-30 07:42:41.920824 INFO::Creating boxplot for categorical data, antibiotics vs F273
## 2026-05-30 07:42:42.155979 INFO::Creating boxplot for categorical data, antibiotics vs F474
## 2026-05-30 07:42:42.358526 INFO::Creating boxplot for categorical data, antibiotics vs F267
## 2026-05-30 07:42:42.565174 INFO::Creating boxplot for categorical data, antibiotics vs F253
## 2026-05-30 07:42:42.794374 INFO::Creating boxplot for categorical data, antibiotics vs F247
## 2026-05-30 07:42:43.004639 INFO::Creating boxplot for categorical data, antibiotics vs F708
## 2026-05-30 07:42:43.240146 INFO::Creating boxplot for categorical data, antibiotics vs F438
## 2026-05-30 07:42:43.443009 INFO::Creating boxplot for categorical data, antibiotics vs F450
## 2026-05-30 07:42:43.659258 INFO::Creating boxplot for categorical data, antibiotics vs F666
## 2026-05-30 07:42:43.874202 INFO::Creating boxplot for categorical data, antibiotics vs F720
## 2026-05-30 07:42:44.083036 INFO::Creating boxplot for categorical data, antibiotics vs F48
## 2026-05-30 07:42:44.31384 INFO::Creating boxplot for categorical data, antibiotics vs F371
## 2026-05-30 07:42:44.525193 INFO::Creating boxplot for categorical data, antibiotics vs F423
## 2026-05-30 07:42:44.762509 INFO::Creating boxplot for categorical data, antibiotics vs F351
## 2026-05-30 07:42:44.968633 INFO::Creating boxplot for categorical data, antibiotics vs F190
## 2026-05-30 07:42:45.185556 INFO::Creating boxplot for categorical data, antibiotics vs F394
## 2026-05-30 07:42:45.405284 INFO::Creating boxplot for categorical data, antibiotics vs F581
## 2026-05-30 07:42:45.609214 INFO::Creating boxplot for categorical data, antibiotics vs F276
## 2026-05-30 07:42:45.838244 INFO::Creating boxplot for categorical data, antibiotics vs F608
## 2026-05-30 07:42:46.047268 INFO::Creating boxplot for categorical data, antibiotics vs F28
## 2026-05-30 07:42:46.278149 INFO::Creating boxplot for categorical data, antibiotics vs F805
## 2026-05-30 07:42:46.477511 INFO::Creating boxplot for categorical data, antibiotics vs F776
## 2026-05-30 07:42:46.696822 INFO::Creating boxplot for categorical data, antibiotics vs F249
## 2026-05-30 07:42:46.913077 INFO::Creating boxplot for categorical data, antibiotics vs F755
## 2026-05-30 07:42:47.122296 INFO::Creating boxplot for categorical data, antibiotics vs F68
## 2026-05-30 07:42:47.354252 INFO::Creating boxplot for categorical data, antibiotics vs F78
## 2026-05-30 07:42:47.561738 INFO::Creating boxplot for categorical data, antibiotics vs F644
## 2026-05-30 07:42:47.792895 INFO::Creating boxplot for categorical data, antibiotics vs F381
## 2026-05-30 07:42:47.998976 INFO::Creating boxplot for categorical data, antibiotics vs F358
## 2026-05-30 07:42:48.227225 INFO::Creating boxplot for categorical data, antibiotics vs F344
## 2026-05-30 07:42:48.429801 INFO::Creating boxplot for categorical data, antibiotics vs F898
## 2026-05-30 07:42:48.641876 INFO::Creating boxplot for categorical data, antibiotics vs F209
## 2026-05-30 07:42:48.860721 INFO::Creating boxplot for categorical data, antibiotics vs F51
## 2026-05-30 07:42:49.070361 INFO::Creating boxplot for categorical data, antibiotics vs F149
## 2026-05-30 07:42:49.299675 INFO::Creating boxplot for categorical data, antibiotics vs F108
## 2026-05-30 07:42:49.503988 INFO::Creating boxplot for categorical data, antibiotics vs F255
## 2026-05-30 07:42:49.728414 INFO::Creating boxplot for categorical data, antibiotics vs F823
## 2026-05-30 07:42:49.932452 INFO::Creating boxplot for categorical data, antibiotics vs F864
## 2026-05-30 07:42:50.165471 INFO::Creating boxplot for categorical data, antibiotics vs F214
## 2026-05-30 07:42:50.366528 INFO::Creating boxplot for categorical data, antibiotics vs F76
## 2026-05-30 07:42:50.591732 INFO::Creating boxplot for categorical data, antibiotics vs F575
## 2026-05-30 07:42:50.798794 INFO::Creating boxplot for categorical data, antibiotics vs F13
## 2026-05-30 07:42:51.018606 INFO::Creating boxplot for categorical data, antibiotics vs F389
## 2026-05-30 07:42:51.238614 INFO::Creating boxplot for categorical data, antibiotics vs F556
## 2026-05-30 07:42:51.441129 INFO::Creating boxplot for categorical data, antibiotics vs F49
## 2026-05-30 07:42:51.667551 INFO::Creating boxplot for categorical data, antibiotics vs F436
## 2026-05-30 07:42:51.872167 INFO::Creating boxplot for categorical data, antibiotics vs F378
## 2026-05-30 07:42:52.160236 INFO::Creating boxplot for categorical data, antibiotics vs F682
## 2026-05-30 07:42:52.369018 INFO::Creating boxplot for categorical data, antibiotics vs F47
## 2026-05-30 07:42:52.595582 INFO::Creating boxplot for categorical data, antibiotics vs F429
## 2026-05-30 07:42:52.796333 INFO::Creating boxplot for categorical data, antibiotics vs F588
## 2026-05-30 07:42:53.004676 INFO::Creating boxplot for categorical data, antibiotics vs F616
## 2026-05-30 07:42:53.234775 INFO::Creating boxplot for categorical data, antibiotics vs F323
## 2026-05-30 07:42:53.440011 INFO::Creating boxplot for categorical data, antibiotics vs F409
## 2026-05-30 07:42:53.66218 INFO::Creating boxplot for categorical data, antibiotics vs F326
## 2026-05-30 07:42:53.866072 INFO::Creating boxplot for categorical data, antibiotics vs F567
## 2026-05-30 07:42:54.087846 INFO::Creating boxplot for categorical data, antibiotics vs F698
## 2026-05-30 07:42:54.298402 INFO::Creating boxplot for categorical data, antibiotics vs F179
## 2026-05-30 07:42:54.506516 INFO::Creating boxplot for categorical data, antibiotics vs F79
## 2026-05-30 07:42:54.727728 INFO::Creating boxplot for categorical data, antibiotics vs F787
## 2026-05-30 07:42:54.93247 INFO::Creating boxplot for categorical data, antibiotics vs F335
## 2026-05-30 07:42:55.160867 INFO::Creating boxplot for categorical data, antibiotics vs F576
## 2026-05-30 07:42:55.364558 INFO::Creating boxplot for categorical data, antibiotics vs F667
## 2026-05-30 07:42:55.582921 INFO::Creating boxplot for categorical data, antibiotics vs F694
## 2026-05-30 07:42:55.798779 INFO::Creating boxplot for categorical data, antibiotics vs F297
## 2026-05-30 07:42:56.009841 INFO::Creating boxplot for categorical data, antibiotics vs F569
## 2026-05-30 07:42:56.239152 INFO::Creating boxplot for categorical data, antibiotics vs F611
## 2026-05-30 07:42:56.448762 INFO::Creating boxplot for categorical data, antibiotics vs F810
## 2026-05-30 07:42:56.676392 INFO::Creating boxplot for categorical data, antibiotics vs F746
## 2026-05-30 07:42:56.882016 INFO::Creating boxplot for categorical data, antibiotics vs F23
## 2026-05-30 07:42:57.10861 INFO::Creating boxplot for categorical data, antibiotics vs F138
## 2026-05-30 07:42:57.317784 INFO::Creating boxplot for categorical data, antibiotics vs F135
## 2026-05-30 07:42:57.522642 INFO::Creating boxplot for categorical data, antibiotics vs F411
## 2026-05-30 07:42:57.745795 INFO::Creating boxplot for categorical data, antibiotics vs F489
## 2026-05-30 07:42:57.954709 INFO::Creating boxplot for categorical data, antibiotics vs F492
## 2026-05-30 07:42:58.180697 INFO::Creating boxplot for categorical data, antibiotics vs F844
## 2026-05-30 07:42:58.381058 INFO::Creating boxplot for categorical data, antibiotics vs F586
## 2026-05-30 07:42:58.606162 INFO::Creating boxplot for categorical data, antibiotics vs F11
## 2026-05-30 07:42:58.80706 INFO::Creating boxplot for categorical data, antibiotics vs F900
## 2026-05-30 07:42:59.03233 INFO::Creating boxplot for categorical data, antibiotics vs F21
## 2026-05-30 07:42:59.249126 INFO::Creating boxplot for categorical data, antibiotics vs F736
## 2026-05-30 07:42:59.459022 INFO::Creating boxplot for categorical data, antibiotics vs F66
## 2026-05-30 07:42:59.680269 INFO::Creating boxplot for categorical data, antibiotics vs F408
## 2026-05-30 07:42:59.884175 INFO::Creating boxplot for categorical data, antibiotics vs F788
## 2026-05-30 07:43:00.110486 INFO::Creating boxplot for categorical data, antibiotics vs F493
## 2026-05-30 07:43:00.317259 INFO::Creating boxplot for categorical data, antibiotics vs F343
## 2026-05-30 07:43:00.543759 INFO::Creating boxplot for categorical data, antibiotics vs F352
## 2026-05-30 07:43:00.750874 INFO::Creating boxplot for categorical data, antibiotics vs F677
## 2026-05-30 07:43:00.987579 INFO::Creating boxplot for categorical data, antibiotics vs F816
## 2026-05-30 07:43:01.192745 INFO::Creating boxplot for categorical data, antibiotics vs F457
## 2026-05-30 07:43:01.416279 INFO::Creating boxplot for categorical data, antibiotics vs F330
## 2026-05-30 07:43:01.629175 INFO::Creating boxplot for categorical data, antibiotics vs F293
## 2026-05-30 07:43:01.829926 INFO::Creating boxplot for categorical data, antibiotics vs F725
## 2026-05-30 07:43:02.058829 INFO::Creating boxplot for categorical data, antibiotics vs F813
## 2026-05-30 07:43:02.267044 INFO::Creating boxplot for categorical data, antibiotics vs F295
## 2026-05-30 07:43:02.9843 INFO::Creating boxplot for categorical data, antibiotics vs F656
## 2026-05-30 07:43:03.168953 INFO::Creating boxplot for categorical data, antibiotics vs F669
## 2026-05-30 07:43:03.358835 INFO::Creating boxplot for categorical data, antibiotics vs F15
## 2026-05-30 07:43:03.538864 INFO::Creating boxplot for categorical data, antibiotics vs F419
## 2026-05-30 07:43:03.723018 INFO::Creating boxplot for categorical data, antibiotics vs F701
## 2026-05-30 07:43:03.912122 INFO::Creating boxplot for categorical data, antibiotics vs F176
## 2026-05-30 07:43:04.101145 INFO::Creating boxplot for categorical data, antibiotics vs F203
## 2026-05-30 07:43:04.291752 INFO::Creating boxplot for categorical data, antibiotics vs F501
## 2026-05-30 07:43:04.474489 INFO::Creating boxplot for categorical data, antibiotics vs F772
## 2026-05-30 07:43:04.658503 INFO::Creating boxplot for categorical data, antibiotics vs F488
## 2026-05-30 07:43:04.849794 INFO::Creating boxplot for categorical data, antibiotics vs F600
## 2026-05-30 07:43:05.039449 INFO::Creating boxplot for categorical data, antibiotics vs F768
## 2026-05-30 07:43:05.233668 INFO::Creating boxplot for categorical data, antibiotics vs F432
## 2026-05-30 07:43:05.419838 INFO::Creating boxplot for categorical data, antibiotics vs F26
## 2026-05-30 07:43:05.607284 INFO::Creating boxplot for categorical data, antibiotics vs F189
## 2026-05-30 07:43:05.796512 INFO::Creating boxplot for categorical data, antibiotics vs F200
## 2026-05-30 07:43:05.984475 INFO::Creating boxplot for categorical data, antibiotics vs F121
## 2026-05-30 07:43:06.210711 INFO::Creating boxplot for categorical data, antibiotics vs F624
## 2026-05-30 07:43:06.395389 INFO::Creating boxplot for categorical data, antibiotics vs F855
## 2026-05-30 07:43:06.582804 INFO::Creating boxplot for categorical data, antibiotics vs F380
## 2026-05-30 07:43:06.773184 INFO::Creating boxplot for categorical data, antibiotics vs F734
## 2026-05-30 07:43:06.959198 INFO::Creating boxplot for categorical data, antibiotics vs F16
## 2026-05-30 07:43:07.150079 INFO::Creating boxplot for categorical data, antibiotics vs F602
## 2026-05-30 07:43:07.331738 INFO::Creating boxplot for categorical data, antibiotics vs F210
## 2026-05-30 07:43:07.513832 INFO::Creating boxplot for categorical data, antibiotics vs F217
## 2026-05-30 07:43:07.701078 INFO::Creating boxplot for categorical data, antibiotics vs F640
## 2026-05-30 07:43:07.88302 INFO::Creating boxplot for categorical data, antibiotics vs F631
## 2026-05-30 07:43:08.078243 INFO::Creating boxplot for categorical data, antibiotics vs F32
## 2026-05-30 07:43:08.260821 INFO::Creating boxplot for categorical data, antibiotics vs F322
## 2026-05-30 07:43:08.452657 INFO::Creating boxplot for categorical data, antibiotics vs F476
## 2026-05-30 07:43:08.634806 INFO::Creating boxplot for categorical data, antibiotics vs F265
## 2026-05-30 07:43:08.819129 INFO::Creating boxplot for categorical data, antibiotics vs F283
## 2026-05-30 07:43:09.011376 INFO::Creating boxplot for categorical data, antibiotics vs F316
## 2026-05-30 07:43:09.198015 INFO::Creating boxplot for categorical data, antibiotics vs F465
## 2026-05-30 07:43:09.389261 INFO::Creating boxplot for categorical data, antibiotics vs F24
## 2026-05-30 07:43:09.570855 INFO::Creating boxplot for categorical data, antibiotics vs F38
## 2026-05-30 07:43:09.764031 INFO::Creating boxplot for categorical data, antibiotics vs F82
## 2026-05-30 07:43:09.946328 INFO::Creating boxplot for categorical data, antibiotics vs F86
## 2026-05-30 07:43:10.13539 INFO::Creating boxplot for categorical data, antibiotics vs F270
## 2026-05-30 07:43:10.323782 INFO::Creating boxplot for categorical data, antibiotics vs F485
## 2026-05-30 07:43:10.505316 INFO::Creating boxplot for categorical data, antibiotics vs F877
## 2026-05-30 07:43:10.694388 INFO::Creating boxplot for categorical data, antibiotics vs F486
## 2026-05-30 07:43:10.876351 INFO::Creating boxplot for categorical data, antibiotics vs F399
## 2026-05-30 07:43:11.07251 INFO::Creating boxplot for categorical data, antibiotics vs F573
## 2026-05-30 07:43:11.254429 INFO::Creating boxplot for categorical data, antibiotics vs F709
## 2026-05-30 07:43:11.437469 INFO::Creating boxplot for categorical data, antibiotics vs F227
## 2026-05-30 07:43:11.625736 INFO::Creating boxplot for categorical data, antibiotics vs F553
## 2026-05-30 07:43:11.806623 INFO::Creating boxplot for categorical data, antibiotics vs F123
## 2026-05-30 07:43:11.996808 INFO::Creating boxplot for categorical data, antibiotics vs F118
## 2026-05-30 07:43:12.185096 INFO::Creating boxplot for categorical data, antibiotics vs F605
## 2026-05-30 07:43:12.435863 INFO::Creating boxplot for categorical data, antibiotics vs F619
## 2026-05-30 07:43:12.627836 INFO::Creating boxplot for categorical data, antibiotics vs F830
## 2026-05-30 07:43:12.824798 INFO::Creating boxplot for categorical data, antibiotics vs F837
## 2026-05-30 07:43:13.036403 INFO::Creating boxplot for categorical data, antibiotics vs F12
## 2026-05-30 07:43:13.22977 INFO::Creating boxplot for categorical data, antibiotics vs F623
## 2026-05-30 07:43:13.433647 INFO::Creating boxplot for categorical data, antibiotics vs F806
## 2026-05-30 07:43:13.621953 INFO::Creating boxplot for categorical data, antibiotics vs F829
## 2026-05-30 07:43:13.811788 INFO::Creating boxplot for categorical data, antibiotics vs F289
## 2026-05-30 07:43:14.021774 INFO::Creating boxplot for categorical data, antibiotics vs F353
## 2026-05-30 07:43:14.212852 INFO::Creating boxplot for categorical data, antibiotics vs F93
## 2026-05-30 07:43:14.414525 INFO::Creating boxplot for categorical data, antibiotics vs F379
## 2026-05-30 07:43:14.603712 INFO::Creating boxplot for categorical data, antibiotics vs F370
## 2026-05-30 07:43:14.79393 INFO::Creating boxplot for categorical data, antibiotics vs F360
## 2026-05-30 07:43:15.003126 INFO::Creating boxplot for categorical data, antibiotics vs F710
## 2026-05-30 07:43:15.195535 INFO::Creating boxplot for categorical data, antibiotics vs F796
## 2026-05-30 07:43:15.399948 INFO::Creating boxplot for categorical data, antibiotics vs F388
## 2026-05-30 07:43:15.588022 INFO::Creating boxplot for categorical data, antibiotics vs F775
## 2026-05-30 07:43:15.776435 INFO::Creating boxplot for categorical data, antibiotics vs F174
## 2026-05-30 07:43:15.982615 INFO::Creating boxplot for categorical data, antibiotics vs F601
## 2026-05-30 07:43:16.177297 INFO::Creating boxplot for categorical data, antibiotics vs F836
## 2026-05-30 07:43:16.385656 INFO::Creating boxplot for categorical data, antibiotics vs F192
## 2026-05-30 07:43:16.577301 INFO::Creating boxplot for categorical data, antibiotics vs F463
## 2026-05-30 07:43:16.776157 INFO::Creating boxplot for categorical data, antibiotics vs F57
## 2026-05-30 07:43:16.972496 INFO::Creating boxplot for categorical data, antibiotics vs F658
## 2026-05-30 07:43:17.163897 INFO::Creating boxplot for categorical data, antibiotics vs F596
## 2026-05-30 07:43:17.364444 INFO::Creating boxplot for categorical data, antibiotics vs F104
## 2026-05-30 07:43:17.556016 INFO::Creating boxplot for categorical data, antibiotics vs F218
## 2026-05-30 07:43:17.759484 INFO::Creating boxplot for categorical data, antibiotics vs F466
## 2026-05-30 07:43:17.952582 INFO::Creating boxplot for categorical data, antibiotics vs F737
## 2026-05-30 07:43:18.144399 INFO::Creating boxplot for categorical data, antibiotics vs F487
## 2026-05-30 07:43:18.346626 INFO::Creating boxplot for categorical data, antibiotics vs F369
## 2026-05-30 07:43:18.539087 INFO::Creating boxplot for categorical data, antibiotics vs F584
## 2026-05-30 07:43:18.742427 INFO::Creating boxplot for categorical data, antibiotics vs F166
## 2026-05-30 07:43:18.93694 INFO::Creating boxplot for categorical data, antibiotics vs F822
## 2026-05-30 07:43:19.152061 INFO::Creating boxplot for categorical data, antibiotics vs F70
## 2026-05-30 07:43:19.348787 INFO::Creating boxplot for categorical data, antibiotics vs F243
## 2026-05-30 07:43:19.543015 INFO::Creating boxplot for categorical data, antibiotics vs F498
## 2026-05-30 07:43:19.75278 INFO::Creating boxplot for categorical data, antibiotics vs F272
## 2026-05-30 07:43:19.947987 INFO::Creating boxplot for categorical data, antibiotics vs F881
## 2026-05-30 07:43:20.156608 INFO::Creating boxplot for categorical data, antibiotics vs F761
## 2026-05-30 07:43:20.346816 INFO::Creating boxplot for categorical data, antibiotics vs F781
## 2026-05-30 07:43:20.55062 INFO::Creating boxplot for categorical data, antibiotics vs F697
## 2026-05-30 07:43:20.740405 INFO::Creating boxplot for categorical data, antibiotics vs F890
## 2026-05-30 07:43:20.930667 INFO::Creating boxplot for categorical data, antibiotics vs F197
## 2026-05-30 07:43:21.140774 INFO::Creating boxplot for categorical data, antibiotics vs F826
## 2026-05-30 07:43:21.333195 INFO::Creating boxplot for categorical data, antibiotics vs F641
## 2026-05-30 07:43:21.536035 INFO::Creating boxplot for categorical data, antibiotics vs F700
## 2026-05-30 07:43:21.727797 INFO::Creating boxplot for categorical data, antibiotics vs F280
## 2026-05-30 07:43:21.931643 INFO::Creating boxplot for categorical data, antibiotics vs F531
## 2026-05-30 07:43:22.125122 INFO::Creating boxplot for categorical data, antibiotics vs F660
## 2026-05-30 07:43:22.3624 INFO::Creating boxplot for categorical data, antibiotics vs F257
## 2026-05-30 07:43:22.562382 INFO::Creating boxplot for categorical data, antibiotics vs F136
## 2026-05-30 07:43:22.760621 INFO::Creating boxplot for categorical data, antibiotics vs F875
## 2026-05-30 07:43:22.977349 INFO::Creating boxplot for categorical data, antibiotics vs F160
## 2026-05-30 07:43:23.174297 INFO::Creating boxplot for categorical data, antibiotics vs F642
## 2026-05-30 07:43:23.385217 INFO::Creating boxplot for categorical data, antibiotics vs F782
## 2026-05-30 07:43:23.594203 INFO::Creating boxplot for categorical data, antibiotics vs F730
## 2026-05-30 07:43:23.791734 INFO::Creating boxplot for categorical data, antibiotics vs F679
## 2026-05-30 07:43:24.012328 INFO::Creating boxplot for categorical data, antibiotics vs F713
## 2026-05-30 07:43:24.209463 INFO::Creating boxplot for categorical data, antibiotics vs F821
## 2026-05-30 07:43:24.417438 INFO::Creating boxplot for categorical data, antibiotics vs F443
## 2026-05-30 07:43:24.624233 INFO::Creating boxplot for categorical data, antibiotics vs F25
## 2026-05-30 07:43:24.823997 INFO::Creating boxplot for categorical data, antibiotics vs F338
## 2026-05-30 07:43:25.04543 INFO::Creating boxplot for categorical data, antibiotics vs F647
## 2026-05-30 07:43:25.243349 INFO::Creating boxplot for categorical data, antibiotics vs F729
## 2026-05-30 07:43:25.458211 INFO::Creating boxplot for categorical data, antibiotics vs F817
## 2026-05-30 07:43:25.658941 INFO::Creating boxplot for categorical data, antibiotics vs F535
## 2026-05-30 07:43:25.856508 INFO::Creating boxplot for categorical data, antibiotics vs F634
## 2026-05-30 07:43:26.075766 INFO::Creating boxplot for categorical data, antibiotics vs F533
## 2026-05-30 07:43:26.273461 INFO::Creating boxplot for categorical data, antibiotics vs F571
## 2026-05-30 07:43:26.493086 INFO::Creating boxplot for categorical data, antibiotics vs F808
## 2026-05-30 07:43:26.688015 INFO::Creating boxplot for categorical data, antibiotics vs F529
## 2026-05-30 07:43:26.883838 INFO::Creating boxplot for categorical data, antibiotics vs F827
## 2026-05-30 07:43:27.105883 INFO::Creating boxplot for categorical data, antibiotics vs F107
## 2026-05-30 07:43:27.306687 INFO::Creating boxplot for categorical data, antibiotics vs F515
## 2026-05-30 07:43:27.523579 INFO::Creating boxplot for categorical data, antibiotics vs F305
## 2026-05-30 07:43:27.717378 INFO::Creating boxplot for categorical data, antibiotics vs F662
## 2026-05-30 07:43:27.926632 INFO::Creating boxplot for categorical data, antibiotics vs F310
## 2026-05-30 07:43:28.138468 INFO::Creating boxplot for categorical data, antibiotics vs F173
## 2026-05-30 07:43:28.334494 INFO::Creating boxplot for categorical data, antibiotics vs F820
## 2026-05-30 07:43:28.547117 INFO::Creating boxplot for categorical data, antibiotics vs F743
## 2026-05-30 07:43:28.741022 INFO::Creating boxplot for categorical data, antibiotics vs F63
## 2026-05-30 07:43:28.961527 INFO::Creating boxplot for categorical data, antibiotics vs F215
## 2026-05-30 07:43:29.157251 INFO::Creating boxplot for categorical data, antibiotics vs F216
## 2026-05-30 07:43:29.356135 INFO::Creating boxplot for categorical data, antibiotics vs F245
## 2026-05-30 07:43:29.577424 INFO::Creating boxplot for categorical data, antibiotics vs F430
## 2026-05-30 07:43:29.777204 INFO::Creating boxplot for categorical data, antibiotics vs F862
## 2026-05-30 07:43:29.994993 INFO::Creating boxplot for categorical data, antibiotics vs F541
## 2026-05-30 07:43:30.197016 INFO::Creating boxplot for categorical data, antibiotics vs F558
## 2026-05-30 07:43:30.411808 INFO::Creating boxplot for categorical data, antibiotics vs F633
## 2026-05-30 07:43:30.610903 INFO::Creating boxplot for categorical data, antibiotics vs F94
## 2026-05-30 07:43:30.816273 INFO::Creating boxplot for categorical data, antibiotics vs F238
## 2026-05-30 07:43:31.028573 INFO::Creating boxplot for categorical data, antibiotics vs F574
## 2026-05-30 07:43:31.223867 INFO::Creating boxplot for categorical data, antibiotics vs F815
## 2026-05-30 07:43:31.436653 INFO::Creating boxplot for categorical data, antibiotics vs F587
## 2026-05-30 07:43:31.631349 INFO::Creating boxplot for categorical data, antibiotics vs F464
## 2026-05-30 07:43:31.84862 INFO::Creating boxplot for categorical data, antibiotics vs F590
## 2026-05-30 07:43:32.051767 INFO::Creating boxplot for categorical data, antibiotics vs F124
## 2026-05-30 07:43:32.270556 INFO::Creating boxplot for categorical data, antibiotics vs F664
## 2026-05-30 07:43:32.465832 INFO::Creating boxplot for categorical data, antibiotics vs F100
## 2026-05-30 07:43:32.727854 INFO::Creating boxplot for categorical data, antibiotics vs F444
## 2026-05-30 07:43:32.934745 INFO::Creating boxplot for categorical data, antibiotics vs F147
## 2026-05-30 07:43:33.139363 INFO::Creating boxplot for categorical data, antibiotics vs F597
## 2026-05-30 07:43:33.352919 INFO::Creating boxplot for categorical data, antibiotics vs F650
## 2026-05-30 07:43:33.545993 INFO::Creating boxplot for categorical data, antibiotics vs F363
## 2026-05-30 07:43:33.741228 INFO::Creating boxplot for categorical data, antibiotics vs F521
## 2026-05-30 07:43:33.955136 INFO::Creating boxplot for categorical data, antibiotics vs F412
## 2026-05-30 07:43:34.156177 INFO::Creating boxplot for categorical data, antibiotics vs F279
## 2026-05-30 07:43:34.36819 INFO::Creating boxplot for categorical data, antibiotics vs F225
## 2026-05-30 07:43:34.561176 INFO::Creating boxplot for categorical data, antibiotics vs F10
## 2026-05-30 07:43:34.759648 INFO::Creating boxplot for categorical data, antibiotics vs F481
## 2026-05-30 07:43:34.973576 INFO::Creating boxplot for categorical data, antibiotics vs F861
## 2026-05-30 07:43:35.176474 INFO::Creating boxplot for categorical data, antibiotics vs F888
## 2026-05-30 07:43:35.39076 INFO::Creating boxplot for categorical data, antibiotics vs F156
## 2026-05-30 07:43:35.58701 INFO::Creating boxplot for categorical data, antibiotics vs F857
## 2026-05-30 07:43:35.78593 INFO::Creating boxplot for categorical data, antibiotics vs F294
## 2026-05-30 07:43:36.002422 INFO::Creating boxplot for categorical data, antibiotics vs F244
## 2026-05-30 07:43:36.201714 INFO::Creating boxplot for categorical data, antibiotics vs F514
## 2026-05-30 07:43:36.414287 INFO::Creating boxplot for categorical data, antibiotics vs F304
## 2026-05-30 07:43:36.615383 INFO::Creating boxplot for categorical data, antibiotics vs F509
## 2026-05-30 07:43:36.826902 INFO::Creating boxplot for categorical data, antibiotics vs F196
## 2026-05-30 07:43:37.035074 INFO::Creating boxplot for categorical data, antibiotics vs F550
## 2026-05-30 07:43:37.235057 INFO::Creating boxplot for categorical data, antibiotics vs F833
## 2026-05-30 07:43:37.448293 INFO::Creating boxplot for categorical data, antibiotics vs F869
## 2026-05-30 07:43:37.646961 INFO::Creating boxplot for categorical data, antibiotics vs F364
## 2026-05-30 07:43:37.866219 INFO::Creating boxplot for categorical data, antibiotics vs F583
## 2026-05-30 07:43:38.070204 INFO::Creating boxplot for categorical data, antibiotics vs F441
## 2026-05-30 07:43:38.271493 INFO::Creating boxplot for categorical data, antibiotics vs F595
## 2026-05-30 07:43:38.482447 INFO::Creating boxplot for categorical data, antibiotics vs F35
## 2026-05-30 07:43:38.685926 INFO::Creating boxplot for categorical data, antibiotics vs F630
## 2026-05-30 07:43:38.903383 INFO::Creating boxplot for categorical data, antibiotics vs F401
## 2026-05-30 07:43:39.106202 INFO::Creating boxplot for categorical data, antibiotics vs F239
## 2026-05-30 07:43:39.315036 INFO::Creating boxplot for categorical data, antibiotics vs F250
## 2026-05-30 07:43:39.516771 INFO::Creating boxplot for categorical data, antibiotics vs F287
## 2026-05-30 07:43:39.714856 INFO::Creating boxplot for categorical data, antibiotics vs F88
## 2026-05-30 07:43:39.929007 INFO::Creating boxplot for categorical data, antibiotics vs F539
## 2026-05-30 07:43:40.134016 INFO::Creating boxplot for categorical data, antibiotics vs F752
## 2026-05-30 07:43:40.346587 INFO::Creating boxplot for categorical data, antibiotics vs F126
## 2026-05-30 07:43:40.541296 INFO::Creating boxplot for categorical data, antibiotics vs F362
## 2026-05-30 07:43:40.751544 INFO::Creating boxplot for categorical data, antibiotics vs F69
## 2026-05-30 07:43:40.958321 INFO::Creating boxplot for categorical data, antibiotics vs F753
## 2026-05-30 07:43:41.16199 INFO::Creating boxplot for categorical data, antibiotics vs F469
## 2026-05-30 07:43:41.372593 INFO::Creating boxplot for categorical data, antibiotics vs F14
## 2026-05-30 07:43:41.5704 INFO::Creating boxplot for categorical data, antibiotics vs F803
## 2026-05-30 07:43:41.782576 INFO::Creating boxplot for categorical data, antibiotics vs F814
## 2026-05-30 07:43:41.981647 INFO::Creating boxplot for categorical data, antibiotics vs F449
## 2026-05-30 07:43:42.198307 INFO::Creating boxplot for categorical data, antibiotics vs F494
## 2026-05-30 07:43:42.392804 INFO::Creating boxplot for categorical data, antibiotics vs F439
## 2026-05-30 07:43:42.590408 INFO::Creating boxplot for categorical data, antibiotics vs F686
## 2026-05-30 07:43:42.804153 INFO::Creating boxplot for categorical data, antibiotics vs F591
## 2026-05-30 07:43:43.004799 INFO::Creating boxplot for categorical data, antibiotics vs F735
## 2026-05-30 07:43:43.262073 INFO::Creating boxplot for categorical data, antibiotics vs F111
## 2026-05-30 07:43:43.459334 INFO::Creating boxplot for categorical data, antibiotics vs F346
## 2026-05-30 07:43:43.668405 INFO::Creating boxplot for categorical data, antibiotics vs F29
## 2026-05-30 07:43:43.879732 INFO::Creating boxplot for categorical data, antibiotics vs F376
## 2026-05-30 07:43:44.083385 INFO::Creating boxplot for categorical data, antibiotics vs F414
## 2026-05-30 07:43:44.305164 INFO::Creating boxplot for categorical data, antibiotics vs F555
## 2026-05-30 07:43:44.504184 INFO::Creating boxplot for categorical data, antibiotics vs F517
## 2026-05-30 07:43:44.715999 INFO::Creating boxplot for categorical data, antibiotics vs F544
## 2026-05-30 07:43:44.932837 INFO::Creating boxplot for categorical data, antibiotics vs F339
## 2026-05-30 07:43:45.142301 INFO::Creating boxplot for categorical data, antibiotics vs F689
## 2026-05-30 07:43:45.367266 INFO::Creating boxplot for categorical data, antibiotics vs F391
## 2026-05-30 07:43:45.566143 INFO::Creating boxplot for categorical data, antibiotics vs F502
## 2026-05-30 07:43:45.781612 INFO::Creating boxplot for categorical data, antibiotics vs F298
## 2026-05-30 07:43:45.999961 INFO::Creating boxplot for categorical data, antibiotics vs F337
## 2026-05-30 07:43:46.202018 INFO::Creating boxplot for categorical data, antibiotics vs F773
## 2026-05-30 07:43:46.422027 INFO::Creating boxplot for categorical data, antibiotics vs F592
## 2026-05-30 07:43:46.62214 INFO::Creating boxplot for categorical data, antibiotics vs F307
## 2026-05-30 07:43:46.846658 INFO::Creating boxplot for categorical data, antibiotics vs F115
## 2026-05-30 07:43:47.0529 INFO::Creating boxplot for categorical data, antibiotics vs F739
## 2026-05-30 07:43:47.25649 INFO::Creating boxplot for categorical data, antibiotics vs F433
## 2026-05-30 07:43:47.479204 INFO::Creating boxplot for categorical data, antibiotics vs F384
## 2026-05-30 07:43:47.679435 INFO::Creating boxplot for categorical data, antibiotics vs F750
## 2026-05-30 07:43:47.906884 INFO::Creating boxplot for categorical data, antibiotics vs F762
## 2026-05-30 07:43:48.108365 INFO::Creating boxplot for categorical data, antibiotics vs F277
## 2026-05-30 07:43:48.317042 INFO::Creating boxplot for categorical data, antibiotics vs F839
## 2026-05-30 07:43:48.530964 INFO::Creating boxplot for categorical data, antibiotics vs F127
## 2026-05-30 07:43:48.730788 INFO::Creating boxplot for categorical data, antibiotics vs F554
## 2026-05-30 07:43:48.954868 INFO::Creating boxplot for categorical data, antibiotics vs F676
## 2026-05-30 07:43:49.156219 INFO::Creating boxplot for categorical data, antibiotics vs F568
## 2026-05-30 07:43:49.38514 INFO::Creating boxplot for categorical data, antibiotics vs F137
## 2026-05-30 07:43:49.586843 INFO::Creating boxplot for categorical data, antibiotics vs F871
## 2026-05-30 07:43:49.790236 INFO::Creating boxplot for categorical data, antibiotics vs F60
## 2026-05-30 07:43:50.019291 INFO::Creating boxplot for categorical data, antibiotics vs F98
## 2026-05-30 07:43:50.224696 INFO::Creating boxplot for categorical data, antibiotics vs F131
## 2026-05-30 07:43:50.454956 INFO::Creating boxplot for categorical data, antibiotics vs F530
## 2026-05-30 07:43:50.654764 INFO::Creating boxplot for categorical data, antibiotics vs F809
## 2026-05-30 07:43:50.881 INFO::Creating boxplot for categorical data, antibiotics vs F894
## 2026-05-30 07:43:51.09249 INFO::Creating boxplot for categorical data, antibiotics vs F22
## 2026-05-30 07:43:51.295415 INFO::Creating boxplot for categorical data, antibiotics vs F818
## 2026-05-30 07:43:51.520282 INFO::Creating boxplot for categorical data, antibiotics vs F559
## 2026-05-30 07:43:51.725397 INFO::Creating boxplot for categorical data, antibiotics vs F741
## 2026-05-30 07:43:51.950013 INFO::Creating boxplot for categorical data, antibiotics vs F398
## 2026-05-30 07:43:52.150558 INFO::Creating boxplot for categorical data, antibiotics vs F357
## 2026-05-30 07:43:52.376323 INFO::Creating boxplot for categorical data, antibiotics vs F426
## 2026-05-30 07:43:52.576278 INFO::Creating boxplot for categorical data, antibiotics vs F119
## 2026-05-30 07:43:52.789933 INFO::Creating boxplot for categorical data, antibiotics vs F204
## 2026-05-30 07:43:53.002189 INFO::Creating boxplot for categorical data, antibiotics vs F851
## 2026-05-30 07:43:53.205049 INFO::Creating boxplot for categorical data, antibiotics vs F657
## 2026-05-30 07:43:53.42575 INFO::Creating boxplot for categorical data, antibiotics vs F801
## 2026-05-30 07:43:53.625875 INFO::Creating boxplot for categorical data, antibiotics vs F859
## 2026-05-30 07:43:53.9037 INFO::Creating boxplot for categorical data, antibiotics vs F480
## 2026-05-30 07:43:54.111875 INFO::Creating boxplot for categorical data, antibiotics vs F507
## 2026-05-30 07:43:54.330286 INFO::Creating boxplot for categorical data, antibiotics vs F207
## 2026-05-30 07:43:54.537323 INFO::Creating boxplot for categorical data, antibiotics vs F367
## 2026-05-30 07:43:56.593461 INFO::Plotting data for metadata number 3, age
## 2026-05-30 07:43:56.594774 INFO::Creating scatter plot for continuous data, age vs F340
## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## ℹ The deprecated feature was likely used in the Maaslin2 package.
##   Please report the issue at <https://github.com/biobakery/maaslin2/issues>.
## This warning is displayed once per session.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:43:56.889423 INFO::Creating scatter plot for continuous data, age vs F603
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:43:57.154688 INFO::Creating scatter plot for continuous data, age vs F356
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:43:57.369067 INFO::Creating scatter plot for continuous data, age vs F181
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:43:57.558731 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()`).
## 2026-05-30 07:43:57.751568 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()`).
## 2026-05-30 07:43:57.969949 INFO::Creating scatter plot for continuous data, age vs F743
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:43:58.164493 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()`).
## 2026-05-30 07:43:58.381675 INFO::Creating scatter plot for continuous data, age vs F436
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:43:58.563864 INFO::Creating scatter plot for continuous data, age vs F219
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:43:58.756785 INFO::Creating scatter plot for continuous data, age vs F483
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:43:59.011881 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()`).
## 2026-05-30 07:43:59.206603 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()`).
## 2026-05-30 07:43:59.419379 INFO::Creating scatter plot for continuous data, age vs F211
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:43:59.611431 INFO::Creating scatter plot for continuous data, age vs F732
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:43:59.812585 INFO::Creating scatter plot for continuous data, age vs F222
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:43:59.999572 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()`).
## 2026-05-30 07:44:00.195152 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()`).
## 2026-05-30 07:44:00.408583 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()`).
## 2026-05-30 07:44:00.60732 INFO::Creating scatter plot for continuous data, age vs F174
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:00.809684 INFO::Creating scatter plot for continuous data, age vs F17
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:01.008331 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()`).
## 2026-05-30 07:44:01.222412 INFO::Creating scatter plot for continuous data, age vs F835
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:01.408469 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()`).
## 2026-05-30 07:44:01.603002 INFO::Creating scatter plot for continuous data, age vs F383
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:01.812206 INFO::Creating scatter plot for continuous data, age vs F623
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:01.999721 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()`).
## 2026-05-30 07:44:02.213099 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()`).
## 2026-05-30 07:44:02.402825 INFO::Creating scatter plot for continuous data, age vs F528
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:02.614501 INFO::Creating scatter plot for continuous data, age vs F13
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:02.793439 INFO::Creating scatter plot for continuous data, age vs F36
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:02.978278 INFO::Creating scatter plot for continuous data, age vs F285
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:03.196249 INFO::Creating scatter plot for continuous data, age vs F404
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:03.379216 INFO::Creating scatter plot for continuous data, age vs F894
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:03.588197 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()`).
## 2026-05-30 07:44:03.782404 INFO::Creating scatter plot for continuous data, age vs F32
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:03.98535 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()`).
## 2026-05-30 07:44:04.178266 INFO::Creating scatter plot for continuous data, age vs F97
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:04.878644 INFO::Creating scatter plot for continuous data, age vs F849
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:05.055865 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()`).
## 2026-05-30 07:44:05.229251 INFO::Creating scatter plot for continuous data, age vs F513
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:05.399295 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()`).
## 2026-05-30 07:44:05.572576 INFO::Creating scatter plot for continuous data, age vs F793
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:05.736856 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()`).
## 2026-05-30 07:44:05.91488 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()`).
## 2026-05-30 07:44:06.091936 INFO::Creating scatter plot for continuous data, age vs F541
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:06.270053 INFO::Creating scatter plot for continuous data, age vs F496
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:06.432026 INFO::Creating scatter plot for continuous data, age vs F386
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:06.607434 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()`).
## 2026-05-30 07:44:06.788254 INFO::Creating scatter plot for continuous data, age vs F704
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:06.963806 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()`).
## 2026-05-30 07:44:07.150822 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()`).
## 2026-05-30 07:44:07.324224 INFO::Creating scatter plot for continuous data, age vs F735
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:07.488185 INFO::Creating scatter plot for continuous data, age vs F481
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:07.657209 INFO::Creating scatter plot for continuous data, age vs F635
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:07.821187 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()`).
## 2026-05-30 07:44:08.005049 INFO::Creating scatter plot for continuous data, age vs F652
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:08.179455 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()`).
## 2026-05-30 07:44:08.35425 INFO::Creating scatter plot for continuous data, age vs F82
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:08.532692 INFO::Creating scatter plot for continuous data, age vs F7
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:08.694823 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()`).
## 2026-05-30 07:44:08.874098 INFO::Creating scatter plot for continuous data, age vs F593
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:09.052726 INFO::Creating scatter plot for continuous data, age vs F733
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:09.218299 INFO::Creating scatter plot for continuous data, age vs F410
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:09.397886 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()`).
## 2026-05-30 07:44:09.572468 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()`).
## 2026-05-30 07:44:09.753549 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()`).
## 2026-05-30 07:44:09.928274 INFO::Creating scatter plot for continuous data, age vs F856
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:10.115105 INFO::Creating scatter plot for continuous data, age vs F680
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:10.290874 INFO::Creating scatter plot for continuous data, age vs F19
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:10.457402 INFO::Creating scatter plot for continuous data, age vs F860
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:10.62858 INFO::Creating scatter plot for continuous data, age vs F859
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:10.795427 INFO::Creating scatter plot for continuous data, age vs F522
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:10.982105 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()`).
## 2026-05-30 07:44:11.159168 INFO::Creating scatter plot for continuous data, age vs F899
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:11.325865 INFO::Creating scatter plot for continuous data, age vs F782
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:11.49931 INFO::Creating scatter plot for continuous data, age vs F839
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:11.666213 INFO::Creating scatter plot for continuous data, age vs F827
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:11.840425 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()`).
## 2026-05-30 07:44:12.017963 INFO::Creating scatter plot for continuous data, age vs F345
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:12.202118 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()`).
## 2026-05-30 07:44:12.373639 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()`).
## 2026-05-30 07:44:12.549483 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()`).
## 2026-05-30 07:44:12.728754 INFO::Creating scatter plot for continuous data, age vs F752
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:12.893604 INFO::Creating scatter plot for continuous data, age vs F877
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:13.070196 INFO::Creating scatter plot for continuous data, age vs F848
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:13.237605 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()`).
## 2026-05-30 07:44:13.418848 INFO::Creating scatter plot for continuous data, age vs F751
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:13.581849 INFO::Creating scatter plot for continuous data, age vs F15
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:13.757476 INFO::Creating scatter plot for continuous data, age vs F521
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:13.992811 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()`).
## 2026-05-30 07:44:14.179685 INFO::Creating scatter plot for continuous data, age vs F319
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:14.365938 INFO::Creating scatter plot for continuous data, age vs F96
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:14.539726 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()`).
## 2026-05-30 07:44:14.720387 INFO::Creating scatter plot for continuous data, age vs F241
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:14.914474 INFO::Creating scatter plot for continuous data, age vs F582
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:15.101115 INFO::Creating scatter plot for continuous data, age vs F822
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:15.289313 INFO::Creating scatter plot for continuous data, age vs F748
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:15.476238 INFO::Creating scatter plot for continuous data, age vs F147
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:15.646163 INFO::Creating scatter plot for continuous data, age vs F16
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:15.839029 INFO::Creating scatter plot for continuous data, age vs F212
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:16.016092 INFO::Creating scatter plot for continuous data, age vs F718
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:16.19072 INFO::Creating scatter plot for continuous data, age vs F663
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:16.376543 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()`).
## 2026-05-30 07:44:16.558433 INFO::Creating scatter plot for continuous data, age vs F865
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:16.752941 INFO::Creating scatter plot for continuous data, age vs F421
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:16.923147 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()`).
## 2026-05-30 07:44:17.107857 INFO::Creating scatter plot for continuous data, age vs F84
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:17.294851 INFO::Creating scatter plot for continuous data, age vs F123
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:17.48081 INFO::Creating scatter plot for continuous data, age vs F566
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:17.66763 INFO::Creating scatter plot for continuous data, age vs F370
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:17.840457 INFO::Creating scatter plot for continuous data, age vs F65
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:18.01793 INFO::Creating scatter plot for continuous data, age vs F263
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:18.205517 INFO::Creating scatter plot for continuous data, age vs F119
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:18.377696 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()`).
## 2026-05-30 07:44:18.573161 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()`).
## 2026-05-30 07:44:18.753304 INFO::Creating scatter plot for continuous data, age vs F628
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:18.927634 INFO::Creating scatter plot for continuous data, age vs F152
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:19.120095 INFO::Creating scatter plot for continuous data, age vs F699
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:19.293677 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()`).
## 2026-05-30 07:44:19.486329 INFO::Creating scatter plot for continuous data, age vs F575
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:19.665109 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()`).
## 2026-05-30 07:44:19.857517 INFO::Creating scatter plot for continuous data, age vs F380
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:20.035831 INFO::Creating scatter plot for continuous data, age vs F504
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:20.218277 INFO::Creating scatter plot for continuous data, age vs F172
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:20.400589 INFO::Creating scatter plot for continuous data, age vs F34
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:20.579367 INFO::Creating scatter plot for continuous data, age vs F199
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:20.764344 INFO::Creating scatter plot for continuous data, age vs F198
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:20.935116 INFO::Creating scatter plot for continuous data, age vs F479
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:21.111136 INFO::Creating scatter plot for continuous data, age vs F673
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:21.295766 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()`).
## 2026-05-30 07:44:21.474057 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()`).
## 2026-05-30 07:44:21.669036 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()`).
## 2026-05-30 07:44:21.846946 INFO::Creating scatter plot for continuous data, age vs F609
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:22.033859 INFO::Creating scatter plot for continuous data, age vs F40
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:22.202617 INFO::Creating scatter plot for continuous data, age vs F821
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:22.379901 INFO::Creating scatter plot for continuous data, age vs F643
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:22.560551 INFO::Creating scatter plot for continuous data, age vs F759
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:22.728599 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()`).
## 2026-05-30 07:44:22.921398 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()`).
## 2026-05-30 07:44:23.105403 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()`).
## 2026-05-30 07:44:23.337 INFO::Creating scatter plot for continuous data, age vs F101
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:23.519049 INFO::Creating scatter plot for continuous data, age vs F890
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:23.696045 INFO::Creating scatter plot for continuous data, age vs F655
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:23.89879 INFO::Creating scatter plot for continuous data, age vs F95
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:24.088239 INFO::Creating scatter plot for continuous data, age vs F775
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:24.290955 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()`).
## 2026-05-30 07:44:24.471247 INFO::Creating scatter plot for continuous data, age vs F353
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:24.646345 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()`).
## 2026-05-30 07:44:24.845697 INFO::Creating scatter plot for continuous data, age vs F480
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:25.033394 INFO::Creating scatter plot for continuous data, age vs F295
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:25.239017 INFO::Creating scatter plot for continuous data, age vs F459
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:25.410947 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()`).
## 2026-05-30 07:44:25.594221 INFO::Creating scatter plot for continuous data, age vs F146
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:25.785566 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()`).
## 2026-05-30 07:44:25.969753 INFO::Creating scatter plot for continuous data, age vs F443
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:26.164359 INFO::Creating scatter plot for continuous data, age vs F871
## `geom_smooth()` using formula = 'y ~ x'
## 2026-05-30 07:44:26.337329 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()`).
## 2026-05-30 07:44:26.52103 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()`).
## 2026-05-30 07:44:26.721688 INFO::Creating scatter plot for continuous data, age vs F864
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2026-05-30 07:44:26.910469 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()`).
## 2026-05-30 07:44:27.121022 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()`).
## 2026-05-30 07:44:27.30573 INFO::Creating scatter plot for continuous data, age vs F393
## `geom_smooth()` using formula = 'y ~ x'
## `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'
## Warning: Removed 2 rows 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'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `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'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `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()`).
## 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
## 2026-05-30 07:44:29.281955 INFO::Writing all prioritized metabolites to file: Macarron_output/prioritized_metabolites_all.csv
## 2026-05-30 07:44:29.287233 INFO::Writing characterizable prioritized metabolites to file: Macarron_output/prioritized_metabolites_characterizable.csv
## 2026-05-30 07:44:29.309346 INFO::Writing highly prioritized metabolites in IBD to file: Macarron_output/highly_prioritized_per_module_in_IBD.csv

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)

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 4.6.0 (2026-04-24)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 24.04.4 LTS
## 
## Matrix products: default
## BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 
## LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.26.so;  LAPACK version 3.12.0
## 
## locale:
##  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
##  [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    
##  [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
##  [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       
## 
## time zone: Etc/UTC
## tzcode source: system (glibc)
## 
## attached base packages:
## [1] stats4    stats     graphics  grDevices utils     datasets  methods  
## [8] base     
## 
## other attached packages:
##  [1] Macarron_1.17.0             SummarizedExperiment_1.43.0
##  [3] Biobase_2.73.1              GenomicRanges_1.65.0       
##  [5] Seqinfo_1.3.0               IRanges_2.47.2             
##  [7] S4Vectors_0.51.3            BiocGenerics_0.59.6        
##  [9] generics_0.1.4              MatrixGenerics_1.25.0      
## [11] matrixStats_1.5.0           BiocStyle_2.41.0           
## 
## loaded via a namespace (and not attached):
##  [1] mnormt_2.1.2          DBI_1.3.0             pbapply_1.7-4        
##  [4] gridExtra_2.3         rlang_1.2.0           magrittr_2.0.5       
##  [7] compiler_4.6.0        mgcv_1.9-4            vctrs_0.7.3          
## [10] stringr_1.6.0         pkgconfig_2.0.3       crayon_1.5.3         
## [13] fastmap_1.2.0         backports_1.5.1       XVector_0.53.0       
## [16] labeling_0.4.3        rmarkdown_2.31        preprocessCore_1.75.0
## [19] xfun_0.57             cachem_1.1.0          jsonlite_2.0.0       
## [22] DelayedArray_0.39.3   BiocParallel_1.47.0   psych_2.6.5          
## [25] parallel_4.6.0        Maaslin2_1.27.0       cluster_2.1.8.2      
## [28] R6_2.6.1              biglm_0.9-3           bslib_0.11.0         
## [31] stringi_1.8.7         RColorBrewer_1.1-3    rpart_4.1.27         
## [34] jquerylib_0.1.4       Rcpp_1.1.1-1.1        iterators_1.0.14     
## [37] knitr_1.51            WGCNA_1.74            base64enc_0.1-6      
## [40] Matrix_1.7-5          splines_4.6.0         nnet_7.3-20          
## [43] tidyselect_1.2.1      rstudioapi_0.18.0     abind_1.4-8          
## [46] yaml_2.3.12           doParallel_1.0.17     codetools_0.2-20     
## [49] plyr_1.8.9            lattice_0.22-9        tibble_3.3.1         
## [52] withr_3.0.2           S7_0.2.2              evaluate_1.0.5       
## [55] foreign_0.8-91        survival_3.8-6        pillar_1.11.1        
## [58] BiocManager_1.30.27   checkmate_2.3.4       foreach_1.5.2        
## [61] pcaPP_2.0-5           ggplot2_4.0.3         scales_1.4.0         
## [64] glue_1.8.1            Hmisc_5.2-5           maketools_1.3.2      
## [67] tools_4.6.0           robustbase_0.99-7     sys_3.4.3            
## [70] data.table_1.18.4     buildtools_1.0.0      mvtnorm_1.3-7        
## [73] fastcluster_1.3.0     grid_4.6.0            impute_1.87.0        
## [76] optparse_1.8.2        colorspace_2.1-2      nlme_3.1-169         
## [79] htmlTable_2.5.0       Formula_1.2-5         cli_3.6.6            
## [82] S4Arrays_1.13.0       dplyr_1.2.1           gtable_0.3.6         
## [85] DEoptimR_1.1-4        logging_0.10-111      dynamicTreeCut_1.63-1
## [88] hash_2.2.6.4          sass_0.4.10           digest_0.6.39        
## [91] SparseArray_1.13.2    htmlwidgets_1.6.4     farver_2.1.2         
## [94] htmltools_0.5.9       lifecycle_1.0.5

Advanced Topics

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.

prism_annotations <-system.file(
    'extdata','demo_annotations.csv', package="Macarron")
annotations_df <- read.csv(file = prism_annotations, row.names = 1) # setting features as rownames
taxonomy_df <- decorateID(input_annotations = annotations_df)

Accessory output files

Macarron.log

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

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.

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.

Changing defaults

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)

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)

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"))

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.