CGGP (version 1.0.1)

CGGPplotcorr: Plot correlation samples

Description

Plot samples for a given correlation function and parameters. Useful for getting an idea of what the correlation parameters mean in terms of smoothness.

Usage

CGGPplotcorr(Corr = CGGP_internal_CorrMatGaussian, theta = NULL,
  numlines = 20, outdims = NULL, zero = TRUE)

Arguments

Corr

Correlation function or CGGP object. If CGGP object, it will make plots for thetaMAP, the max a posteriori theta.

theta

Parameters for Corr

numlines

Number of sample paths to draw

outdims

Which output dimensions should be used?

zero

Should the sample paths start at y=0?

Value

Plot

See Also

Other CGGP plot functions: CGGPplotblocks, CGGPplotheat, CGGPplothist, CGGPplotsamplesneglogpost, CGGPplotslice, CGGPplottheta, CGGPplotvariogram, CGGPvalplot

Examples

Run this code
# NOT RUN {
CGGPplotcorr()
CGGPplotcorr(theta=c(-2,-1,0,1))

SG <- CGGPcreate(d=3, batchsize=100)
f <- function(x){x[1]^1.2+sin(2*pi*x[2]*3)}
y <- apply(SG$design, 1, f)
SG <- CGGPfit(SG, Y=y)
CGGPplotcorr(SG)
# }

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