Package: clickR 0.9.65

clickR: Semi-Automatic Preprocessing of Messy Data with Change Tracking for Dataset Cleaning

Tools for assessing data quality, performing exploratory analysis, and semi-automatic preprocessing of messy data with change tracking for integral dataset cleaning.

Authors:David Hervas Marin [aut, cre]

clickR_0.9.65.tar.gz
clickR_0.9.65.zip(r-4.7-any)clickR_0.9.65.zip(r-4.6-any)clickR_0.9.65.zip(r-4.5-any)
clickR_0.9.65.tgz(r-4.6-any)clickR_0.9.65.tgz(r-4.5-any)
clickR_0.9.65.tar.gz(r-4.7-any)clickR_0.9.65.tar.gz(r-4.6-any)
clickR_0.9.65.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
clickR/json (API)

# Install 'clickR' in R:
install.packages('clickR', repos = c('https://david-hervas.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/david-hervas/clickr/issues

Datasets:

On CRAN:

Conda:

5.74 score 4 stars 1 packages 28 scripts 1.2k downloads 9 mentions 38 exports 9 dependencies

Last updated from:9ea37732da. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE139
source / vignettesOK160
linux-releaseNOTE144
macos-releaseNOTE94
macos-oldrelNOTE80
windows-develNOTE76
windows-releaseNOTE79
windows-oldrelNOTE81
wasm-releaseOK99

Exports:%<=NA%%<NA%%>=NA%%>NA%%between%%betweenNA%bivariate_outlierscheck_qualitycluster_vardescriptivef_replacefix_allfix_concatfix_datesfix_factorsfix_levelsfix_NAfix_numericsforgeGK_assocgood2goipboxplotkill.factorsmanual_fixmine.plotmtapplynice_namesoutlierspeekremove_emptyrestore_changessearch_scriptstrack_changesttrueunforgeworkspaceworkspace_sapplyxscores

Dependencies:beeswarmcodetoolsdigestfuturefuture.applyglobalslistenvparallellystringdist

Readme and manuals

Help Manual

Help pageTopics
leq & not NA%<=NA%
less & NA%<NA%
geq & not NA%>=NA%
greater & NA%>NA%
between operator%between%
between operator & not NA%betweenNA%
Get anti-modeantimoda
Check for bivariate outliersbivariate_outliers
Checks data quality of a variablecheck_quality
Clustering of variablescluster_var
Detailed summary of the datadescriptive
Extreme values from a numeric vectorextreme_values
Find and replacef_replace
fix_allfix_all
fix_concatfix_concat
Fix datesfix_dates
Fix factors imported as numericsfix_factors
Fix levelsfix_levels
fix_NAfix_NA
Fix numeric datafix_numerics
Forgeforge
Internal function to fix_datesfxd
Computes Goodman and Kruskal's tauGK_assoc
Good to gogood2go
Improved boxplotipboxplot
Kill factorskill.factors
Computes kurtosiskurtosis
Tracked manual fixes to datamanual_fix
Checks if each value might be numericmay.numeric
Mine plotmine.plot
Get modemoda
Estimates number of modesmoda_cont
Multiple tapplymtapply
Messy Motor Trend Car Road Tests Datasetmtcars_messy
Internal function for descriptive()nearest
Nice namesnice_names
Brute numeric coercionnumeros
outliersoutliers
Peekpeek
Gets proportion of most repeated valueprop_may
Gets proportion of least repeated valueprop_min
remove_emptyremove_empty
Restore changesrestore_changes
Scales data between 0 and 1scale_01
Search scriptssearch_scripts
Computes skewnessskewness
Internal function for dates with texttext_date
track_changestrack_changes
True TRUEttrue
Un-Forgeunforge
Internal function to track_changesv_df_changes
Explores global environment workspaceworkspace
Applies a function over objects of a specific classworkspace_sapply
Estimate sample scoresxscores