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

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

## Documentation for package ‘clickR’ version 0.9.45

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

%<=NA% | leq & not NA
%<NA% | less & NA
%>=NA% | geq & not NA
%>NA% | greater & NA
%between% | between operator
%betweenNA% | between operator & not NA
antimoda | Get anti-mode
bivariate_outliers | Check for bivariate outliers
check_quality | Checks data quality of a variable
cluster_var | Clustering of variables
descriptive | Detailed summary of the data
extreme_values | Extreme values from a numeric vector
fix_all | fix_all
fix_concat | fix_concat
fix_dates | Fix dates
fix_factors | Fix factors imported as numerics
fix_levels | Fix levels
fix_NA | fix_NA
fix_numerics | Fix numeric data
forge | Forge
fxd | Internal function to fix_dates
f_replace | Find and replace
GK_assoc | Computes Goodman and Kruskal's tau
good2go | Good to go
ipboxplot | Improved boxplot
kill.factors | Kill factors
kurtosis | Computes kurtosis
manual_fix | Tracked manual fixes to data
may.numeric | Checks if each value might be numeric
mine.plot | Mine plot
moda | Get mode
moda_cont | Estimates number of modes
mtapply | Multiple tapply
mtcars_messy | Messy Motor Trend Car Road Tests Dataset
nearest | Internal function for descriptive()
nice_names | Nice names
numeros | Brute numeric coercion
outliers | outliers
peek | Peek
prop_may | Gets proportion of most repeated value
prop_min | Gets proportion of least repeated value
remove_empty | remove_empty
restore_changes | Restore changes
scale_01 | Scales data between 0 and 1
search_scripts | Search scripts
skewness | Computes skewness
text_date | Internal function for dates with text
track_changes | track_changes
ttrue | True TRUE
unforge | Un-Forge
v_df_changes | Internal function to track_changes
workspace | Explores global environment workspace
workspace_sapply | Applies a function over objects of a specific class
xscores | Estimate sample scores