Shiny App

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

Descriptive Statistics

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

ds_summary_stats()

Descriptive statistics

ds_cross_table() plot(<ds_cross_table>) ds_twoway_table()

Two way table

ds_freq_table() plot(<ds_freq_table>)

Frequency table

ds_freq_cont() plot(<ds_freq_cont>)

Frequency distribution of continuous data

ds_group_summary() plot(<ds_group_summary>)

Groupwise descriptive statistics

ds_multi_stats()

Multiple variable statistics

ds_oway_tables() ds_tway_tables()

Multiple One & Two Way Tables

ds_measures_location()

Measures of location

ds_measures_variation()

Measures of variation

ds_measures_symmetry()

Measures of symmetry

ds_percentiles()

Percentiles

ds_extreme_obs()

Extreme observations

Distributions

Visualize how different parameters affect the shape of a distribution. Compute/visualize probability from a given quantile and quantiles out of given probability.

dist_norm_plot() dist_norm_perc() dist_norm_prob()

Visualize normal distribution

dist_binom_plot() dist_binom_prob() dist_binom_perc()

Visualize binomial distribution

dist_chi_plot() dist_chi_perc() dist_chi_prob()

Visualize chi square distribution

dist_f_plot() dist_f_perc() dist_f_prob()

Visualize f distribution

dist_t_plot() dist_t_perc() dist_t_prob()

Visualize t distribution

Other Functions

A set of functions used to generate summary_stats.

ds_kurtosis()

Kurtosis

ds_skewness()

Skewness

ds_mode()

Mode

ds_range()

Range

ds_mdev()

Mean Absolute Deviation

ds_cvar()

Coefficient of Variation

ds_css()

Corrected Sum of Squares

ds_gmean()

Geometric Mean

ds_hmean()

Harmonic Mean

ds_tailobs()

Tail Observations

ds_rindex()

Index Values

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