CGGPplotslice {CGGP} | R Documentation |
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.
CGGPplotslice(CGGP, proj = 0.5, np = 300, color = "pink", outdims, scales = "free_y", facet = "grid")
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. |
ggplot2 object
Other CGGP plot functions: CGGPplotblocks
,
CGGPplotcorr
, CGGPplotheat
,
CGGPplothist
,
CGGPplotsamplesneglogpost
,
CGGPplottheta
,
CGGPplotvariogram
,
CGGPvalplot
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),])