dists: Visualise distributions of numeric and categorical columns in...

In cj-holmes/holmesr: A collection of miscellaneous helper functions

Description

Visualise distributions of numeric and categorical columns in a dataframe

Usage

dists(
  x,
  cols = dplyr::everything(),
  remove_outliers = FALSE,
  top_n = 5,
  bp_thickness = 0.12,
  bp_center = 0,
  density_colour = "grey",
  bp_colour = "blue",
  ecdf_colour = "red",
  na_colour = "blue",
  other_colour = "grey50",
  ...
)

Arguments

x	a dataframe
cols	Tidyselect columns to use (default = dplyr::everything())
remove_outliers	Remove outliers from numeric columns before visualisation (default = FALSE)
top_n	The top n levels to show - all other values will be lumped into 'Other'
bp_thickness	Boxplot thickness (in units of y)
bp_center	Boxplot centre height (in units of y)
density_colour	Density estimate fill colour
bp_colour	Boxplot colour
ecdf_colour	ECDF colour
na_colour	Colour for NA bars
other_colour	Colour for lumped 'Other' bars
...	Further arguments passed to patchwork::wrap_plots()

cj-holmes/holmesr documentation built on Sept. 20, 2020, 12:44 a.m.