Function reference • toRpEDA

All functions
`atypical_values()`	Atypilac values analyses columns with character data and check if they can be different data type: if it is int vector transformed to string - "integer", vector containing 'false' and 'true' or 'yes' and 'no' with different abbreviations and capitalizations that may indicate that vector could be transform to boolean - "boolean", and if numeric values were written with coma instead of dot. Results are presented in a list with performed analyses that contain column names.
`colors_discrete_torpeda()` `colors_diverging_torpeda()`	toRpEDA color palettes for ggplot2 objects
`cor_matrix()`	Correlation matrix
`dataset_info()`	Dataset Information
`decision_tree()`	decision_tree`()` Builds decision tree on given data. Returns metrics for the tree and optionally plots the tree.
`find_missing_values()`	The aim of this function is to check how many missing values has our data.
`get_descriptive_stat()`	Descriptive statistics
`impute_mean()`	Impute mean
`impute_median()`	Impute median
`impute_missing_data()`	Impute missing data in a data frame
`impute_mode()`	Impute mode
`outliers()`	Function that finds potential outlier observations
`PCA()`	This function returns principal components and their associeted eigenvectors - PCA
`plot_bar_plot()`	Bar plots by target
`plot_bar_qual()`	This function returns bar plots of quality columns of a dataframe
`plot_hist_vars()`	plot_hist_vars
`plot_num_plots()`	Draws numeric plots (boxplots and violin plots) by target for selected columns.
`plot_scatter()`	Plot scatter plots for continuous variables
`redundant_cols()`	redundant_cols`()` suggests redundant columns and deletes them if requested.
`report_data_info()`	Generate report_data_info
`table_one()`	table_one
`theme_torpeda()`	toRpEDA theme for ggplot2 objects

Reference

All functions