CGGPplothist: Histogram of measurements at each design depth of each input...

In CollinErickson/CGGP: Composite Grid Gaussian Processes

Histogram of measurements at each design depth of each input dimension

Description

A greater design depth signifies a more important dimension. Thus a larger right tail on the histogram are more important variables.

Usage

CGGPplothist(CGGP, ylog = TRUE)

Arguments

CGGP	CGGP object
ylog	Should the y axis be put on a log scale?

Value

Histogram plot made using ggplot2

See Also

Other CGGP plot functions: CGGPplotblocks(), CGGPplotcorr(), CGGPplotheat(), CGGPplotsamplesneglogpost(), CGGPplotslice(), CGGPplottheta(), CGGPplotvariogram(), CGGPvalplot()

Examples

# All dimensions should look similar
d <- 8
SG = CGGPcreate(d,201)
CGGPplothist(SG)
CGGPplothist(SG, ylog=FALSE)

# The first dimension is more active and will have greater depth
f <- function(x) {sin(x[1]^.6*5)}
SG <- CGGPcreate(d=5, batchsize=100)
SG <- CGGPfit(SG, apply(SG$design, 1, f))
SG <- CGGPappend(CGGP=SG, batchsize=1000)
CGGPplothist(SG)

CollinErickson/CGGP documentation built on Feb. 6, 2024, 2:24 a.m.