Package: cleaner 1.5.4
cleaner: Fast and Easy Data Cleaning
Data cleaning functions for classes logical, factor, numeric, character, currency and Date to make data cleaning fast and easy. Relying on very few dependencies, it provides smart guessing, but with user options to override anything if needed.
Authors:
cleaner_1.5.4.tar.gz
cleaner_1.5.4.zip(r-4.5)cleaner_1.5.4.zip(r-4.4)cleaner_1.5.4.zip(r-4.3)
cleaner_1.5.4.tgz(r-4.4-any)cleaner_1.5.4.tgz(r-4.3-any)
cleaner_1.5.4.tar.gz(r-4.5-noble)cleaner_1.5.4.tar.gz(r-4.4-noble)
cleaner_1.5.4.tgz(r-4.4-emscripten)cleaner_1.5.4.tgz(r-4.3-emscripten)
cleaner.pdf |cleaner.html✨
cleaner/json (API)
NEWS
| # Install 'cleaner' in R: |
| install.packages('cleaner', repos = c('https://msberends.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/msberends/cleaner/issues
- unclean - Example data that is not clean
Last updated 2 years agofrom:dbfb5da1fe. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 26 2024 |
| R-4.5-win | NOTE | Aug 26 2024 |
| R-4.5-linux | NOTE | Aug 26 2024 |
| R-4.4-win | NOTE | Aug 26 2024 |
| R-4.4-mac | NOTE | Aug 26 2024 |
| R-4.3-win | OK | Aug 26 2024 |
| R-4.3-mac | OK | Aug 26 2024 |
Exports:as.currencyas.percentagecleanclean_characterclean_currencyclean_Dateclean_doubleclean_factorclean_integerclean_logicalclean_numericclean_percentageclean_POSIXctformat_datetimeformat_namesformat_p_valuefreqfreq.defaultheaderis.currencyis.freqis.percentagena_replacepercentagerdateregex_falseregex_truetop_freq
Dependencies:backportsclicrayonevaluatefansigluehighrknitrlifecyclepillarrlangutf8vctrsxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Clean column data to a class | clean clean.data.frame clean_character clean_currency clean_Date clean_double clean_factor clean_integer clean_logical clean_numeric clean_percentage clean_POSIXct |
| Transform to currency | as.currency currency format.currency is.currency print.currency |
| Readable date format to POSIX | format_datetime |
| Format names and values | format_names |
| Format p values (APA guideline) | format_p_value |
| Frequency table | freq freq.Date freq.default freq.factor freq.hms freq.matrix freq.numeric freq.table header is.freq print.freq top_freq |
| Replace NA values | na_replace na_replace.data.frame na_replace.Date na_replace.default na_replace.list na_replace.logical na_replace.matrix na_replace.numeric |
| Transform to percentage | as.percentage format.percentage is.percentage percentage print.percentage |
| Generate random dates | rdate |
| Regular expressions for 'TRUE' and 'FALSE' | regex_false regex_true regex_true_false |
| Example data that is not clean | unclean |
