Description Usage Arguments Examples
Plots a gaussian process. Several boolean parameters for modifying the plot. By default plots the data, posterior mean and 95% interval.
1 2 3 4 5 |
x |
the gp-object |
y |
placeholder variable |
plotdata |
plot the data (default) |
plotmean |
plot the GP mean (default) |
plotcov |
plot the GP covariances (default) |
plotnoise |
plot the observational noise (default) |
samples |
plot N samples from the GP |
sigma |
variance level to plot |
title |
plot title |
legend |
plot legend |
plotgradient |
use gradient graphics |
plotls |
plot lengthscale function |
... |
... |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | # read toy data
data(toydata)
## Not run: can take several minutes
# perform one-sample regression
res = gpr2sample(toydata$ctrl$x, toydata$ctrl$y, seq(0,22,0.1))
# pre-computed model for toydata
data(toygps)
res = toygps$ctrlmodel
# basic plot with data, estimated mean and 95\%
plot(res)
# don't plot the data, plot some samples drawn from the learned gp
plot(res, plotdata=FALSE, samples=3)
## End(Not run)
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