CGGPplotslice: CGGP slice plot

In CollinErickson/SGGP: Composite Grid Gaussian Processes

CGGP slice plot

Description

Show prediction plots when varying over only one dimension. Most useful when setting all values to 0.5 because it will have the most points.

Usage

CGGPplotslice(
  CGGP,
  proj = 0.5,
  np = 300,
  color = "pink",
  outdims,
  scales = "free_y",
  facet = "grid"
)

Arguments

CGGP	CGGP object
proj	Point to project onto
np	Number of points to use along each dimension
color	Color to make error region
outdims	If multiple outputs, which of them should be plotted?
scales	Parameter passed to ggplot2::facet_grid()
facet	If "grid", will use ggplot2::facet_grid(), if "wrap" will use ggplot2::facet_wrap(). Only applicable for a single output dimension.

Value

ggplot2 object

See Also

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

Examples

d <- 5
f1 <- function(x){x[1]+x[2]^2 + cos(x[3]^2*2*pi*4) - 3.3}
s1 <- CGGPcreate(d, 200)
s1 <- CGGPfit(s1, apply(s1$design, 1, f1))
#s1 <- CGGPappend(s1, 200)
#s1 <- CGGPfit(s1, apply(s1$design, 1, f1))
CGGPplotslice(s1)
CGGPplotslice(s1, 0.)
CGGPplotslice(s1, s1$design[nrow(s1$design),])

CollinErickson/SGGP documentation built on Jan. 31, 2024, 3:16 p.m.