Package index • descriptr

Shiny App

Launches shiny app for interactive exploration of data sets.

ds_launch_shiny_app(): Launch Shiny App

Data Screening

The screener() function will screen data frames and return details such as variable names, class, levels and missing values. The plot.screener() creates bar plots to visualize % of missing observations for each variable in a data frame.

ds_screener() plot(<ds_screener>): Screen data

Continuous Data

The following functions ease the process of generating and visualizing descriptive statistics for continuous data.

ds_auto_summary_stats(): Descriptive statistics and frquency tables

ds_extreme_obs(): Extreme observations

ds_freq_table() plot(<ds_freq_table>): Frequency table

ds_measures_location(): Measures of location

ds_measures_symmetry(): Measures of symmetry

ds_measures_variation(): Measures of variation

ds_percentiles(): Percentiles

ds_summary_stats(): Descriptive statistics

ds_tidy_stats(): Tidy descriptive statistics

Categorical Data

The following functions ease the process of generating and visualizing descriptive statistics for categorical data.

ds_auto_freq_table() ds_auto_cross_table(): Multiple One & Two Way Tables

ds_cross_table() plot(<ds_cross_table>) ds_twoway_table(): Two way table

ds_freq_table() plot(<ds_freq_table>): Frequency table

Grouped Summary

The following functions generate grouped summary statistics.

ds_auto_group_summary(): Tabulation

ds_group_summary() plot(<ds_group_summary>): Groupwise descriptive statistics

ds_group_summary_interact(): Category wise descriptive statistics

Visualization

The following functions generate plots for different data types.

ds_plot_bar(): Generate bar plots

ds_plot_bar_grouped(): Generate grouped bar plots

ds_plot_bar_stacked(): Generate stacked bar plots

ds_plot_box_group(): Compare distributions

ds_plot_box_single(): Generate box plots

ds_plot_density(): Generate density plots

ds_plot_histogram(): Generate histograms

ds_plot_scatter(): Generate scatter plots

Other Functions

A set of functions used to generate summary_stats.

ds_css(): Corrected Sum of Squares

ds_cvar(): Coefficient of Variation

ds_gmean(): Geometric Mean

ds_hmean(): Harmonic Mean

ds_kurtosis(): Kurtosis

ds_mdev(): Mean Absolute Deviation

ds_mode(): Mode

ds_range(): Range

ds_rindex(): Index Values

ds_skewness(): Skewness

ds_std_error(): Standard error of mean

ds_tailobs(): Tail Observations

Data

descriptr comes with a built-in dataset hsb which is used to illustrate the functions as well as for running tests.

hsb: High School and Beyond Data Set

mtcarz: mtcarz