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Plotting in 3D in R
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#just create a range of values | |
grdVals <- function(x, bound=0.01) seq(range(x)[1]-bound, range(x)[2]+bound, length.out=50) | |
#instantiate a new persp object for a scatterplot | |
makeScatterBox <- function(x,y,z, bound=0, ...){ | |
x <- grdVals(x, bound=bound) | |
y <- grdVals(y, bound=bound) | |
z <- grdVals(z, bound=bound) | |
z <- matrix(rep(z, 50), nrow=50) | |
p <- persp(x,y,z, col=NA, border=NA, ...) | |
p | |
} | |
#make a scatterplot of points | |
#and either create a new persp object | |
#or use one already existing | |
scatterPlot3d <- function(x,y,z, pch=19, cex=1, col="black", bound=1, background=NA, ...){ | |
if(!is.na(background[1])){ | |
p <- background | |
}else{ | |
p <- makeScatterBox(x,y,z, background=background, ...) | |
} | |
points(trans3d(x,y, z, p), pch=pch, col=col, cex=cex) | |
} | |
#Create a surface from an LM or GLM with no more than 2 predictors | |
#need to add an a, b, c | |
abcSurf <- function(obj, type="response", xlab=names(obj$model)[2], ylab=names(obj$model)[3], zlab=names(obj$model)[1], | |
ticktype="detailed", ...){ | |
x <- grdVals(obj$model[2]) | |
y <- grdVals(obj$model[3]) | |
ndf <- expand.grid(x,y) | |
names(ndf) <- names(obj$model)[-1] | |
z <- predict(obj, ndf) | |
z <- matrix(z, nrow=length(x)) | |
persp(x,y,z, xlab=xlab, ylab=ylab, zlab=zlab, ticktype=ticktype, ...) | |
} | |
# | |
# ###### Demo Code | |
# x <- 1:100 | |
# y <- runif(100, 0,100) | |
# z <- rnorm(100, x*3+y+x*y) | |
# | |
# scatterPlot3d(x,y,z) | |
# | |
# myFit <- lm(z ~ x*y) | |
# | |
# abcSurf(myFit) -> p | |
# scatterPlot3d(x,y,z, add=T, background=p) | |
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