Added R and Python versions and package info to README
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README.md
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README.md
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@ -80,3 +80,158 @@ found clusters of the navigation types were further investigated with
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process mining techniques in R (`12_dfgs-case-clusters.R`) and Python
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(`13_pm-case-clusters.py`).
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# Software versions
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## R
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The following gives the output of `sessionInfo()` with all relevant
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packages attached.
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```
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R version 4.3.3 (2024-02-29 ucrt)
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Platform: x86_64-w64-mingw32/x64 (64-bit)
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Running under: Windows 10 x64 (build 19045)
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Matrix products: default
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locale:
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[1] LC_COLLATE=German_Germany.utf8
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[2] LC_CTYPE=German_Germany.utf8
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[3] LC_MONETARY=German_Germany.utf8
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[4] LC_NUMERIC=C
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[5] LC_TIME=German_Germany.utf8
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time zone: Europe/Berlin
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tzcode source: internal
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attached base packages:
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[1] grid stats graphics grDevices utils
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[6] datasets methods base
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other attached packages:
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[1] igraph_2.0.3 DiagrammeR_1.0.11 partykit_1.2-20
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[4] mvtnorm_1.2-4 libcoin_1.0-10 rpart_4.1.23
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[7] rgl_1.3.1 smacof_2.1-6 e1071_1.7-14
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[10] colorspace_2.1-0 plotrix_3.8-4 vioplot_0.4.0
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[13] zoo_1.8-12 sm_2.2-6.0 cluster_2.1.6
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[16] factoextra_1.0.7 ggplot2_3.5.0 dplyr_1.1.4
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[19] pbapply_1.7-2 petrinetR_0.3.0 processmapR_0.5.3
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[22] eventdataR_0.3.1 edeaR_0.9.4 bupaR_0.5.4
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[25] lattice_0.22-6 devtools_2.4.5 usethis_2.2.3
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[28] mtt_0.0-1
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loaded via a namespace (and not attached):
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[1] RColorBrewer_1.1-3 rstudioapi_0.16.0
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[3] jsonlite_1.8.8 shape_1.4.6.1
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[5] magrittr_2.0.3 jomo_2.7-6
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[7] nloptr_2.0.3 rmarkdown_2.26
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[9] fs_1.6.3 vctrs_0.6.5
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[11] heplots_1.6.2 memoise_2.0.1
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[13] minqa_1.2.6 base64enc_0.1-3
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[15] htmltools_0.5.8.1 forcats_1.0.0
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[17] polynom_1.4-1 weights_1.0.4
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[19] broom_1.0.5 Formula_1.2-5
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[21] mitml_0.4-5 htmlwidgets_1.6.4
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[23] plotly_4.10.4 lubridate_1.9.3
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[25] cachem_1.0.8 mime_0.12
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[27] lifecycle_1.0.4 iterators_1.0.14
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[29] pkgconfig_2.0.3 Matrix_1.6-5
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[31] R6_2.5.1 fastmap_1.1.1
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[33] shiny_1.8.1.1 digest_0.6.35
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[35] shinyTime_1.0.3 pkgload_1.3.4
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[37] ellipse_0.5.0 Hmisc_5.1-2
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[39] fansi_1.0.6 timechange_0.3.0
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[41] nnls_1.5 gdata_3.0.0
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[43] abind_1.4-5 httr_1.4.7
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[45] compiler_4.3.3 proxy_0.4-27
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[47] remotes_2.5.0 withr_3.0.0
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[49] doParallel_1.0.17 htmlTable_2.4.2
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[51] backports_1.4.1 carData_3.0-5
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[53] pkgbuild_1.4.4 pan_1.9
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[55] MASS_7.3-60.0.1 sessioninfo_1.2.2
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[57] gtools_3.9.5 tools_4.3.3
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[59] foreign_0.8-86 httpuv_1.6.15
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[61] nnet_7.3-19 glue_1.7.0
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[63] inum_1.0-5 nlme_3.1-164
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[65] promises_1.3.0 checkmate_2.3.1
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[67] generics_0.1.3 gtable_0.3.4
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[69] class_7.3-22 tidyr_1.3.1
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[71] data.table_1.15.4 hms_1.1.3
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[73] car_3.1-2 xml2_1.3.6
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[75] utf8_1.2.4 ggrepel_0.9.5
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[77] foreach_1.5.2 pillar_1.9.0
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[79] stringr_1.5.1 later_1.3.2
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[81] splines_4.3.3 survival_3.5-8
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[83] tidyselect_1.2.1 miniUI_0.1.1.1
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[85] knitr_1.46 gridExtra_2.3
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[87] xfun_0.43 visNetwork_2.1.2
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[89] stringi_1.8.3 lazyeval_0.2.2
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[91] boot_1.3-30 evaluate_0.23
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[93] codetools_0.2-20 wordcloud_2.6
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[95] tibble_3.2.1 cli_3.6.2
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[97] xtable_1.8-4 munsell_0.5.1
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[99] candisc_0.8-6 Rcpp_1.0.12
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[101] parallel_4.3.3 ellipsis_0.3.2
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[103] profvis_0.3.8 urlchecker_1.0.1
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[105] lme4_1.1-35.3 glmnet_4.1-8
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[107] viridisLite_0.4.2 ggthemes_5.1.0
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[109] scales_1.3.0 purrr_1.0.2
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[111] rlang_1.1.3 mice_3.16.0
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```
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## Python
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The Python version used is `Python 3.12.0`. The following gives the output
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of `pip list` for the virtual environment all analyses have been run in.
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```
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Package Version
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----------------- ------------
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asttokens 2.4.1
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colorama 0.4.6
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contourpy 1.2.0
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cycler 0.12.1
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decorator 5.1.1
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deprecation 2.1.0
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executing 2.0.1
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fonttools 4.46.0
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graphviz 0.20.1
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intervaltree 3.1.0
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ipython 8.18.1
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jedi 0.19.1
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joblib 1.3.2
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kiwisolver 1.4.5
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lxml 4.9.3
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matplotlib 3.8.2
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matplotlib-inline 0.1.6
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networkx 3.2.1
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numpy 1.26.2
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packaging 23.2
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pandas 2.1.3
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parso 0.8.3
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Pillow 10.1.0
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pip 24.0
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pm4py 2.7.8.4
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prompt-toolkit 3.0.41
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PuLP 2.8.0
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pure-eval 0.2.2
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pydotplus 2.0.2
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Pygments 2.17.2
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pyparsing 3.1.1
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python-dateutil 2.8.2
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pytz 2023.3.post1
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scikit-learn 1.4.0
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scipy 1.11.4
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six 1.16.0
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sortedcontainers 2.4.0
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stack-data 0.6.3
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StringDist 1.0.9
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threadpoolctl 3.2.0
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tqdm 4.66.1
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traitlets 5.14.0
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tzdata 2023.3
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wcwidth 0.2.12
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```
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