plot.visreg2d | R Documentation |
Plot method for visualizing how two variables interact to affect the response in regression models.
## S3 method for class 'visreg2d'
plot(
x,
plot.type = c("image", "persp", "rgl", "gg"),
xlab,
ylab,
zlab,
color,
print.cond = FALSE,
whitespace = 0.2,
...
)
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: |
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. |
Patrick Breheny and Woodrow Burchett
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")}
https://pbreheny.github.io/visreg/surface.html, [visreg()]
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")
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