Fit3d: 3D plots of fitted response surfaces and functions

In p3d: Plot 3d data and fitted surfaces

Description

For the current plot, created with Plot3d, you can use Fit3d to superimpose the fitted response surface for one or more models. For example, following

Plot3d( y ~ x + z | g, data)

the fitted surface for a model fit with lm can be displayed with

Fit3d ( lm( y ~ x*z + I(x^2) + I(z^2) + g, data ))

Other forms are possible, as described under Details.

Usage

Fit3d(fit, names.vars = pars$names, other.vars = NULL, 
	grid.lines = 26, col = "blue", 
	fill = TRUE, grid = TRUE, base.grid = FALSE, col.grid = col, col.res = col, 
	residuals = FALSE, xlim = c(bbox[1], bbox[2]), zlim = c(bbox[5], bbox[6]), 
	verbose = 0, type = "response", alpha = 0.5, lit = FALSE, FUN = function(x) x, ...)

Arguments

fit	A fitted model object (e.g., of class lm, glm or lme ) involving two quantitative covariates and possibly other variables, or a function of two continuous variables and possibly other variables
names.vars
other.vars	list of values for variables used in model but not in display
grid.lines	Number of grid lines for x and z variables
col	The color used for the grid of fitted values and other annotations unless specified with other col.* arguments.
fill	Draw fitted or function values as a shaded surface? Default: TRUE
grid	Draw fitted or function values as a grid with lines? Default: TRUE
base.grid	draw grid in base horizontal plane? Default: FALSE
col.grid	Color used to draw the grid if grid=TRUE
col.res	Color used to show residuals if residuals=TRUE
residuals	Show residuals in the plot (i.e., lines from the surface to the points)?
xlim	Limits for the x variable, to override those in the current plot
zlim	Limits for the y variable, to override those in the current plot
verbose	Tell me what you're doing
type	For models fit with glm, fitted values can be displayed on the type="response" scale or the type="link" scale.
alpha	Transparency value for the fitted surface
lit	rgl lighting. See ...
FUN	The response for a model can be a transformation of the scale of the plot. The FUN argument is used to transform the fitted value back to the scale of the graph, e.g. fit <- lm( log(y) ~ x * g, data); Fit3d( fit, FUN = exp)
...	Other arguments passed down

Details

Details: TBW

Value

No useful value, unless verbose=TRUE, in which case summary(fit) is returned.

Author(s)

Georges Monette

See Also

Plot3d

Examples

## Not run: 
 library(car)
 data(Prestige)
 Prestige$inc <- Prestige$income / 1000
 open3d()
 Plot3d ( inc ~ women + education|type , Prestige)
 
 Fit3d ( lm(inc ~ women + education,Prestige))
 Fit3d ( lm(inc ~ women * education,Prestige), col="pink")

## End(Not run)

data(coffee)
# fit marginal and joint models
fit.stress <- lm(Heart ~ Stress, data=coffee)
fit.coffee <- lm(Heart ~ Coffee, data=coffee)
fit.both   <- lm(Heart ~ Coffee + Stress, data=coffee)

Init3d(cex=1.2)
Plot3d( Heart ~ Coffee + Stress, coffee,
	surface=TRUE, fit="linear", surface.col="lightblue", 
	grid.lines=10, sphere.size=0.6)
box3d(color="gray")

data.Ell3d(col="lightblue")
# bivariate marginal ellipses
Lines3d( y = 'min', xz = with( coffee, dell( Coffee, Stress)), lwd=2, color="black")
Lines3d( z = 'min', xy = with( coffee, dell( Coffee, Heart)), lwd=2, color="blue")
Lines3d( x = 'min', yz = with( coffee, dell( Heart, Stress)), lwd=2, color="blue")
# fitted marginal regression planes
Fit3d(fit.stress, col="pink")
Fit3d(fit.coffee, col="green")

p3d documentation built on May 2, 2019, 5:25 p.m.