Build a pair plot

Source: R/PairPlot.R

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

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)

Value

a ggplot2 pair plot

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.

Examples


# 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")