ScatterHistN {WVPlots}

Plot a height scatter plot with marginals.

Description

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

Usage

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 x variable

yvar

name of the y variable

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 https://colorbrewer2.org/ )

nclus

scalar: number of z-clusters to plot

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 zvar is the continuous conditioning variable. zvar is partitioned into nclus disjoint ranges (by default, 3), which are then treated as discrete categories.The scatterplot and marginal density plots are color-coded by these categories.

See Also

ScatterHistC

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$z <- frm$x+frm$y
WVPlots::ScatterHistN(frm, "x", "y", "z", title="Example Joint Distribution")