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

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

ScatterHistN(frame, xvar, yvar, zvar, title, ..., annot_size = 3,
  colorPalette = "RdYlBu", nclus = 3, 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
zvar	name of height 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/ )
nclus	scalar number of z-clusters to plot
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$z <- frm$x+frm$y
WVPlots::ScatterHistN(frm, "x", "y", "z", title="Example Joint Distribution")