plot_distributions: Create distribution charts to show in descriptive table

In LukasWallrich/rNuggets: Useful Helper Functions for (Academic) Data Analysis

Create distribution charts to show in descriptive table

Description

Particularly in exploratory data analysis, it can be instructive to see histograms or density charts.

Usage

plot_distributions(
  x,
  var_names = NULL,
  plot_type = c("auto", "histogram", "density"),
  hist_align_y = FALSE,
  plot_theme = NULL
)

Arguments

x	A dataframe - if var_names is NULL, all numeric variables in x will be used, otherwise those included in var_names will be selected
var_names	A named character vector with the names that should be displayed for variables. If NULL, then the variables are not renamed. Particularly important when output is to be combined with a correlation matrix, e.g., from cor_matrix()
plot_type	Type of plot that should be produced - 'histogram' or 'density' plot. If 'auto', histograms are produced for variables that take fewer than 10 unique values, density plots for others. If a number is provided, that number is used as the maximum number of unique values for which a histogram is used.
hist_align_y	Should histograms use the same y-axis, so that bin heights are comparable? Defaults to FALSE
plot_theme	Additional theme_ commands to be added to each plot

Examples

## Not run: 
plot_distributions(mtcars, var_names = c(wt = "Weight", mpg = "Efficiency",
                   am = "Transmission", gear = "Gears"))

## End(Not run)

LukasWallrich/rNuggets documentation built on Aug. 26, 2022, 11:03 a.m.