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

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*3) + exp(4*x)}
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 1.0.3 Index]