Package: funModeling 1.9.4

funModeling: Exploratory Data Analysis and Data Preparation Tool-Box

Around 10% of almost any predictive modeling project is spent in predictive modeling, 'funModeling' and the book Data Science Live Book (<https://livebook.datascienceheroes.com/>) are intended to cover remaining 90%: data preparation, profiling, selecting best variables 'dataViz', assessing model performance and other functions.

Authors:Pablo Casas [aut, cre]

funModeling_1.9.4.tar.gz
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funModeling.pdf |funModeling.html✨
funModeling/json (API)

Peer review:

Bug tracker:https://github.com/pablo14/funmodeling/issues

On CRAN:

36 exports 100 stars 4.27 score 81 dependencies 2 mentions 670 scripts 1.7k downloads

Last updated 1 years agofrom:c04e72293d. Checks:OK: 7. Indexed: yes.

Exports:auto_groupingcateg_analysiscompare_dfconcatenate_n_varsconvert_df_to_categoriccoord_plotcorrelation_tablecross_plotdata_integritydata_integrity_modeldesc_groupsdesc_groups_rankdf_statusdiscretize_dfdiscretize_get_binsdiscretize_rgrentropy_2equal_freqexport_plotfibonaccifreqgain_liftgain_ratioget_samplehampel_outlierinfor_magicinformation_gainplot_numplotarprep_outliersprofiling_numrange01statustukey_outlierv_comparevar_rank_info

Dependencies:backportsbase64encbitopsbslibcachemcaToolscheckmatecliclustercolorspacedata.tabledigestdplyrentropyevaluatefansifarverfastmapfontawesomeforeignFormulafsgenericsggplot2gluegplotsgridExtragtablegtoolshighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteKernSmoothknitrlabelinglatticelazyevallifecyclemagrittrMASSMatrixmemoisemgcvmimemomentsmunsellnlmennetpanderpillarpkgconfigplyrR6rappdirsRColorBrewerRcppreshape2rlangrmarkdownROCRrpartrstudioapisassscalesstringistringrtibbletidyselecttinytexutf8vctrsviridisviridisLitewithrxfunyaml