PairPlot: Build a pair plot

In WinVector/WVPlots: Common Plots for Analysis

Build a pair plot

Description

Creates a matrix of scatterplots, one for each possible pair of variables.

Usage

PairPlot(
  d,
  meas_vars,
  title,
  ...,
  group_var = NULL,
  alpha = 1,
  palette = "Dark2",
  point_color = "darkgray"
)

Arguments

d	data frame
meas_vars	the variables to be plotted
title	plot title
...	not used, forces later arguments to bind by name
group_var	variable for grouping and colorcoding
alpha	alpha for points on plot
palette	name of a brewer palette (NULL for ggplot2 default coloring)
point_color	point color for monochrome plots (no grouping)

Details

If palette is NULL, and group_var is non-NULL, plot colors will be chosen from the default ggplot2 palette. Setting palette to NULL allows the user to choose a non-Brewer palette, for example with scale_color_manual.

Value

a ggplot2 pair plot

Examples

if (requireNamespace('data.table', quietly = TRUE)) {
	# don't multi-thread during CRAN checks
		data.table::setDTthreads(1)
}

# PairPlot(iris, colnames(iris)[1:4], "Example plot", group_var = "Species")

# custom palette
colormap = c('#a6611a', '#dfc27d', '#018571')
PairPlot(iris, colnames(iris)[1:4], "Example plot",
         group_var = "Species", palette=NULL) +
         ggplot2::scale_color_manual(values=colormap)

# # no color-coding
# PairPlot(iris, colnames(iris)[1:4], "Example plot")

WinVector/WVPlots documentation built on April 23, 2024, 4:51 a.m.