plot.mgpr {GPFDA} | R Documentation |
Plot predictions of GPR model
Description
Plot predictons of each element of the multivariate Gaussian Process for a given an object of class 'mgpr'.
Usage
## S3 method for class 'mgpr'
plot(
x,
DataObs,
DataNew,
realisation,
alpha = 0.05,
ylim = NULL,
mfrow = NULL,
cex = 2,
mar = c(4.5, 7.1, 0.2, 0.8),
oma = c(0, 0, 0, 0),
cex.lab = 2,
cex.axis = 1.5,
...
)
Arguments
x |
An object of class 'mgpr'. |
DataObs |
List of observed data. |
DataNew |
List of test data. |
realisation |
Index identifying which realisation should be plotted. |
alpha |
Significance level used for MGPR predictions. Default is 0.05. |
ylim |
Range of y-axis. |
mfrow |
Graphical parameter. |
cex |
Graphical parameter. |
mar |
Graphical parameter passed to par(). |
oma |
Graphical parameter passed to par(). |
cex.lab |
Graphical parameter passed to par(). |
cex.axis |
Graphical parameter passed to par(). |
... |
Graphical parameters passed to plot(). |
Value
A plot showing predictions of each element of the multivariate process.
Examples
## See examples in vignette:
# vignette("mgpr", package = "GPFDA")
[Package GPFDA version 3.1.3 Index]