Man pages for tkimhofer/cleansing
Data cleaning and summary statistics

add_summaryclean variables and create summary stats
df_to_numericclean data and prepare for pca
dot-combine_lowFreqLevelsMerge low freq levels into a single level
dot-comb_xyCombine uni and/or multilevel variables, rm NA's
dot-conv_dtypeVariable class conversion
dot-conv_naSet non-informative values to NA
dot-count_naCounting the number of NA
dot-countsFreq_chiSqUnivariate stats for a categorical variable
dot-descrStats_xDescriptive stats for a numeric variable startified by second...
dot-num_groupCompStatistical group comparison for a numeric variable
dot-num_groupComp_pairwisePairwise statistical group comparison for a numeric variable
dot-rm_naRemove all na values
dot-split_multirespSplit multilevel variables
dot-split_to_dummysplit multilevel variable and create dummy
dot-to_tbl_numCreate table of summary stats for continuous variables
es_cdeltaPairwise effect size - Cliff's delta
infer_dtypeinfer variable data type
infer_levelinfer if variable is of type multi-response
prep_varVariable summary on stratification level
tkimhofer/cleansing documentation built on Oct. 25, 2022, 1:12 a.m.