Semi-Automatic Preprocessing of Messy Data with Change Tracking
for Dataset Cleaning
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Documentation for package ‘clickR’ version 0.9.45
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| %<=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 |