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]