powered by
Plot predictons of each element of the multivariate Gaussian Process for a given an object of class 'mgpr'.
# S3 method for 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, ... )
A plot showing predictions of each element of the multivariate process.
An object of class 'mgpr'.
List of observed data.
List of test data.
Index identifying which realisation should be plotted.
Significance level used for MGPR predictions. Default is 0.05.
Range of y-axis.
Graphical parameter.
Graphical parameter passed to par().
Graphical parameters passed to plot().
## See examples in vignette: # vignette("mgpr", package = "GPFDA")
Run the code above in your browser using DataLab