CGGPplotheat {CGGP} | R Documentation |
The values on the diagonal are largest design depth for that dimension. The off-diagonal values are the largest design depth that both dimensions have been measured at simultaneously. A greater depth means that more points have been measured along that dimension or two-dimensional subspace.
CGGPplotheat(CGGP)
CGGP |
CGGP object |
A heat map made from ggplot2
https://stackoverflow.com/questions/14290364/heatmap-with-values-ggplot2
Other CGGP plot functions: CGGPplotblocks
,
CGGPplotcorr
, CGGPplothist
,
CGGPplotsamplesneglogpost
,
CGGPplotslice
, CGGPplottheta
,
CGGPplotvariogram
,
CGGPvalplot
# All dimensions should look similar d <- 8 SG = CGGPcreate(d,201) CGGPheat(SG) # The first and fourth dimensions are most active and will have greater depth SG <- CGGPcreate(d=5, batchsize=50) f <- function(x) {cos(2*pi*x[1]*3) + exp(4*x[4])} for (i in 1:1) { SG <- CGGPfit(SG, Y=apply(SG$design, 1, f)) SG <- CGGPappend(CGGP=SG, batchsize=200) } # SG <- CGGPfit(SG, Y=apply(SG$design, 1, f)) CGGPplotheat(SG)