plot.mgpr: Plot predictions of GPR model

Description Usage Arguments Value Examples

View source: R/mgp.functions.R

Description

Plot predictons of each element of the multivariate Gaussian Process for a given an object of class 'mgpr'.

Usage

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## 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

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## See examples in vignette:
# vignette("mgpr", package = "GPFDA")

Example output

Loading required package: fda.usc
Loading required package: fda
Loading required package: splines
Loading required package: Matrix
Loading required package: fds
Loading required package: rainbow
Loading required package: MASS
Loading required package: pcaPP
Loading required package: RCurl

Attaching package:fdaThe following object is masked frompackage:graphics:

    matplot

Loading required package: mgcv
Loading required package: nlme
This is mgcv 1.8-33. For overview type 'help("mgcv-package")'.
----------------------------------------------------------------------------------
 Functional Data Analysis and Utilities for Statistical Computing
 fda.usc version 2.0.2 (built on 2020-02-17) is now loaded
 fda.usc is running sequentially usign foreach package
 Please, execute ops.fda.usc() once to run in local parallel mode
 Deprecated functions: min.basis, min.np, anova.hetero, anova.onefactor, anova.RPm
 New functions: optim.basis, optim.np, fanova.hetero, fanova.onefactor, fanova.RPm
----------------------------------------------------------------------------------

Loading required package: spam
Loading required package: dotCall64
Loading required package: grid
Spam version 2.5-1 (2019-12-12) is loaded.
Type 'help( Spam)' or 'demo( spam)' for a short introduction 
and overview of this package.
Help for individual functions is also obtained by adding the
suffix '.spam' to the function name, e.g. 'help( chol.spam)'.

Attaching package:spamThe following object is masked frompackage:Matrix:

    det

The following objects are masked frompackage:base:

    backsolve, forwardsolve

GPFDA documentation built on Jan. 29, 2021, 5:14 p.m.