plot.visreg2d: Visualization of regression functions for two variables

In pbreheny/visreg: Visualization of Regression Models

Visualization of regression functions for two variables

Description

Plot method for visualizing how two variables interact to affect the response in regression models.

Usage

## S3 method for class 'visreg2d'
plot(
  x,
  plot.type = c("image", "persp", "rgl", "gg"),
  xlab,
  ylab,
  zlab,
  color,
  print.cond = FALSE,
  whitespace = 0.2,
  ...
)

Arguments

x	A [visreg2d()] object.
plot.type	The style of plot to be produced. The following options are supported: * 'image': a filled contour * 'gg': a filled contour plot using ggplot2 * 'persp': a 3 dimensional perspective plot * 'rgl': a version of the perspective plot that can be rotated (requires the rgl package to be installed)
xlab	Axis label for x variable
ylab	Axis label for y variable
zlab	Axis label for outcome
color	For ‘plot.type=’persp'‘ or 'plot.type=’rgl'', the color of the surface. For ‘plot.type=’image'‘ or 'plot.type=’gg'', a vector of colors used to establish a color palette.
print.cond	If 'print.cond==TRUE', the explanatory variable values conditioned on in a conditional plot are printed to the console (default: FALSE). If 'print.cond==TRUE' and 'type=="contrast"', the conditions will still be printed, but they have no bearing on the plot unless interactions are present.
whitespace	When 'xvar' or 'yvar' is a factor, 'whitespace' determines the amount of space in between the factors. Default is 0.2, meaning that 20 percent of the axis is whitespace.
...	Graphical parameters can be passed to the function to customize the plots.

Author(s)

Patrick Breheny and Woodrow Burchett

References

Breheny P and Burchett W. (2017) Visualization of regression models using visreg. *R Journal*, **9**: 56-71. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.32614/RJ-2017-046")}

See Also

https://pbreheny.github.io/visreg/surface.html, [visreg()]

Examples

fit <- lm(Ozone ~ Solar.R + Wind + Temp + I(Wind^2) + I(Temp^2) +
I(Wind*Temp)+I(Wind*Temp^2) + I(Temp*Wind^2) + I(Temp^2*Wind^2),
data=airquality)

visreg2d(fit, x="Wind", y="Temp", plot.type="image")
visreg2d(fit, x="Wind", y="Temp", plot.type="image",
         color=c("purple", "green", "red"))
visreg2d(fit, x="Wind", y="Temp", plot.type="persp")

## Requires the rgl package

visreg2d(fit,x="Wind",y="Temp",plot.type="rgl")


## Requires the ggplot2 package

visreg2d(fit, x="Wind", y="Temp", plot.type="gg")

pbreheny/visreg documentation built on March 29, 2025, 5:20 a.m.