| CGGPplotvariogram {CGGP} | R Documentation |
Plot something similar to a semivariogram
Description
It's not actually a variogram or semivariogram. It shows how the correlation function falls off as distance increases.
Usage
CGGPplotvariogram(CGGP, facet = 1, outdims = NULL)
Arguments
CGGP |
CGGP object |
facet |
How should the plots be faceted? If 1, in a row, if 2, in a column, if 3, wrapped around. |
outdims |
Which output dimensions should be shown. |
Value
ggplot2 object
See Also
Other CGGP plot functions:
CGGPplotblocks(),
CGGPplotcorr(),
CGGPplotheat(),
CGGPplothist(),
CGGPplotsamplesneglogpost(),
CGGPplotslice(),
CGGPplottheta(),
CGGPvalplot()
Examples
SG <- CGGPcreate(d=3, batchsize=100)
f <- function(x){x[1]^1.2+x[3]^.4*sin(2*pi*x[2]^2*3) + .1*exp(3*x[3])}
y <- apply(SG$design, 1, f)
SG <- CGGPfit(SG, Y=y)
CGGPplotvariogram(SG)
[Package CGGP version 1.0.4 Index]