Package: janitor 2.2.1
janitor: Simple Tools for Examining and Cleaning Dirty Data
The main janitor functions can: perfectly format data.frame column names; provide quick counts of variable combinations (i.e., frequency tables and crosstabs); and explore duplicate records. Other janitor functions nicely format the tabulation results. These tabulate-and-report functions approximate popular features of SPSS and Microsoft Excel. This package follows the principles of the "tidyverse" and works well with the pipe function %>%. janitor was built with beginning-to-intermediate R users in mind and is optimized for user-friendliness.
Authors:
janitor_2.2.1.tar.gz
janitor_2.2.1.tar.gz(r-4.5-noble)janitor_2.2.1.tar.gz(r-4.4-noble)
janitor_2.2.1.tgz(r-4.4-emscripten)janitor_2.2.1.tgz(r-4.3-emscripten)
janitor.pdf |janitor.html✨
janitor/json (API)
NEWS
# Install 'janitor' in R: |
install.packages('janitor', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sfirke/janitor/issues
Pkgdown site:https://sfirke.github.io
Last updated 5 days agofrom:400b34bd37. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 23 2024 |
R-4.5-linux | OK | Dec 23 2024 |
Exports:%>%add_totals_coladd_totals_rowadorn_crosstabadorn_nsadorn_pct_formattingadorn_percentagesadorn_roundingadorn_titleadorn_totalsas_tabylchisq.testclean_namescompare_df_colscompare_df_cols_sameconvert_to_dateconvert_to_datetimeconvert_to_NAcrosstabdescribe_classexcel_numeric_to_datefind_headerfisher.testget_dupesget_one_to_onemake_clean_namesremove_constantremove_emptyremove_empty_colsremove_empty_rowsround_half_upround_to_fractionrow_to_namessas_numeric_to_datesignif_half_upsingle_valuetabyltop_levelsuntabyluse_first_valid_of
Dependencies:clicpp11dplyrfansigenericsgluehmslifecyclelubridatemagrittrpillarpkgconfigpurrrR6rlangsnakecasestringistringrtibbletidyrtidyselecttimechangeutf8vctrswithr