plotmodelSelectionEvaluation: Plotting results of Model Evaluation and Selection.

In LoBrA: Generalized Spline Mixed Effect Models for Longitudinal Breath Data

Plotting results of Model Evaluation and Selection.

Description

Plotting the results of Model Evaluation and Selection. The plot shows a vertical boxplot for each spline tested starting with the best average fit according to the selected quality measure. The label of each spline can be found on the left, the median quality measure on the right. The x-axis denotes the selected quality measure.

Usage

plotmodelSelectionEvaluation(
  lobraModelSelectionObject,
  qualityMeasure,
  title = NULL
)

Arguments

lobraModelSelectionObject	Object of type LDOmodelselection that was created during the model evaluation. @seealso 'lobraModelSelection'
qualityMeasure	List of quality measures to be visualized.
title	Title of the plot.

Value

No return value

Examples

## Not run: 
 

wd <- tempdir()
data(LoBraExample)
selectedLDO <- selectComponents(ldo, components)
ldoSelect<- lobraModelSelection(selectedLDO, potentialBreaks=c(8, 12), nknots=c(1, 2))

filename<- file.path(wd, "evaluateBestSplineAIC.pdf") ;
grDevices::pdf(filename, width=16, height=8);
  plotmodelSelectionEvaluation(ldoSelect, "AIC", "Best Spline Models");
grDevices::dev.off();
  
qualityMeasure=c("AIC", "BIC", "logLik")
filename<- file.path(wd, "evaluateBestSplineAllMeasures.pdf") ;
grDevices::pdf(filename, width=16, height=8);
oldpar <- par("mfrow")
par(mfrow=c(3,1))
  plotmodelSelectionEvaluation(ldoSelect, qualityMeasure);
par(mfrow = oldpar)
grDevices::dev.off();

LoBrA documentation built on March 22, 2022, 1:06 a.m.