CGGPplotslice {CGGP}

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),])