rgl package to draw 3D scatterplots
with various regression surfaces.scatter3d(x, y, z, xlab=deparse(substitute(x)), ylab=deparse(substitute(y)),
zlab=deparse(substitute(z)), revolutions=0, bg.col=c("black", "white"), axis.col=NULL,
surface.col=c("blue", "green", "orange", "magenta", "cyan", "red", "yellow", "gray"),
neg.res.col="red", pos.res.col="green", point.col="yellow",
text.col=axis.col, grid.col=if (bg.col == "white") "black" else "gray",
fogtype=c("exp2", "linear", "exp", "none"),
residuals=(length(fit) == 1), surface=TRUE, grid=TRUE, df.smooth=NULL, df.additive=NULL,
sphere.size=1, threshold=0.01, speed=1, fov=60,
fit="linear", groups=NULL, parallel=TRUE, model.summary=FALSE)"white", "black"."white" for black background,
"black" for white background.fit."exp2", "linear",
"exp", "none".TRUE or FALSE); available only
when there is one surface plotted.TRUE or FALSE).TRUE or FALSE).NULL (the default), the gam function will select the degrees of freedom
for a smoothing spline by generalized NULL (the default), the gam function will select degrees of freedom
for the smoothing splines by generalized cross-validation; if a positiv"linear", "quadratic", "smooth",
"additive"; to display fitted surface(s); partial matching is supported --
e.g., c("lin", "quad").NULL (the default), no groups are defined; if a factor, a different surface
or set of surfaces is plotted for each level of the factor; in this event, the colours in
plane.col are used successively for the points, sgroups, should the surfaces be constrained to be
parallel? A logical value, with default TRUE.TRUE or FALSE).rgl.open, gamdata(state)
State.x77 <- as.data.frame(state.x77)
with(State.x77, scatter3d(Income, Murder, Illiteracy))
with(State.x77, scatter3d(Income, Murder, Illiteracy, fit=c("linear", "quadratic")))Run the code above in your browser using DataLab