Plot a conditional scatter plot with marginals. xvar is the independent variable (input or model), and yvar is the dependent variable, and cvar is the condition code

Plot a conditional scatter plot with marginals. xvar is the independent variable (input or model), and yvar is the dependent variable, and cvar is the condition code

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 independent (input or model) column in frame
yvar	name of the dependent (output or result to be modeled) column in frame
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 http://colorbrewer2.org/ )
adjust_x	numeric adjust x density plot
adjust_y	numeric adjust y density plot

Examples

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")