visreg (version 3.0.0)

persp.visreg2d: Static 3D perspective plot for a visreg2d object

Description

persp() method for visreg2d() objects: draws a static 3-dimensional perspective plot of the fitted surface, using base R's graphics::persp().

Usage

# S3 method for visreg2d
persp(
  x,
  xlab = NULL,
  ylab = NULL,
  zlab = NULL,
  color = "#2fa4e7",
  whitespace = 0.2,
  ...
)
# S3 method for visreg_list
persp(x, ...)
persp3d.visreg_list(x, ...)

Value

The viewing transformation matrix, invisibly; see graphics::persp().

Arguments

x

A visreg2d() object.

xlab, ylab

Axis labels for predictors (default: variable name)

zlab

Axis label for outcome (default: variable name)

color

The color of the surface.

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.

...

Additional graphical parameters, passed to graphics::persp().

Details

For an interactive version that can be rotated with the mouse, see rgl::persp3d() (requires the rgl package). For a 2-dimensional raster/contour plot, see plot.visreg2d().

References

Breheny P and Burchett W. (2017) Visualization of regression models using visreg. R Journal, 9: 56-71. tools:::Rd_expr_doi("10.32614/RJ-2017-046")

See Also

visreg2d() for creating two-dimensional visreg objects, plot.visreg2d() for the 2-dimensional raster/contour plot, and the surface plots vignette for examples and details.

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
)

v <- visreg2d(fit, x = "Wind", y = "Temp", plot = FALSE)
persp(v)

airquality$Heat <- cut(airquality$Temp, 3, labels = c("Cool", "Mild", "Hot"))
fit2 <- lm(Ozone ~ Solar.R + Wind * Heat, data = airquality)
visreg2d(fit2, "Heat", "Wind", plot = FALSE) |> persp(theta = 230)