CGGPplotheat: Heatmap of SG design depth

In CGGP: Composite Grid Gaussian Processes

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)

CGGP documentation built on May 8, 2021, 5:06 p.m.