ScatterHistC: Plot a conditional scatter plot with marginals.

In WinVector/WVPlots: Common Plots for Analysis

Plot a conditional scatter plot with marginals.

Description

Plot a scatter plot conditioned on a discrete variable, with marginal conditional density plots.

Usage

ScatterHistC(
  frame,
  xvar,
  yvar,
  cvar,
  title,
  ...,
  annot_size = 3,
  colorPalette = "Dark2",
  adjust_x = 1,
  adjust_y = 1
)

Arguments

frame	data frame to get values from
xvar	name of the x variable
yvar	name of the y variable
cvar	name of condition variable
title	title to place on plot
...	no unnamed argument, added to force named binding of later arguments.
annot_size	numeric scale annotation text (if present)
colorPalette	name of a Brewer palette (see https://colorbrewer2.org/ )
adjust_x	numeric: adjust x density plot
adjust_y	numeric: adjust y density plot

Details

xvar and yvar are the coordinates of the points, and cvar is the discrete conditioning variable that indicates which category each point (x,y) belongs to.

Value

plot grid

See Also

ScatterHist

Examples

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

set.seed(34903490)
frm = data.frame(x=rnorm(50),y=rnorm(50))
frm$cat <- frm$x+frm$y>0
WVPlots::ScatterHistC(frm, "x", "y", "cat",
                      title="Example Conditional Distribution")

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