CGGPplotheat {CGGP} | R Documentation |
Heatmap of SG design depth
Description
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.
Usage
CGGPplotheat(CGGP)
Arguments
CGGP |
CGGP object |
Value
A heat map made from ggplot2
References
https://stackoverflow.com/questions/14290364/heatmap-with-values-ggplot2
See Also
Other CGGP plot functions:
CGGPplotblocks()
,
CGGPplotcorr()
,
CGGPplothist()
,
CGGPplotsamplesneglogpost()
,
CGGPplotslice()
,
CGGPplottheta()
,
CGGPplotvariogram()
,
CGGPvalplot()
Examples
# All dimensions should look similar
d <- 8
SG = CGGPcreate(d,201)
CGGPplotheat(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)
[Package CGGP version 1.0.4 Index]