| koplsPlotModelDiagnostics {kopls} | R Documentation |
Produces overview plots of model training results returned from the koplsModel function.
koplsPlotModelDiagnostics(model, plot.values = FALSE)
model |
The model training result (see koplsModel ). |
plot.values |
If TRUE, the exact values will be displayed on the bars as text labels. |
Produces 2x2 panels of bar plots, containing the total explained variation (R2X), the Y-orthogonal explained variation (R2XO), the Y-correlated explained variation (R2XC) and (if available) the predicted variation from cross-validation (Q2Y).
Max Bylesjo and Mattias Rantalainen
Rantalainen M, Bylesjo M, Cloarec O, Nicholson JK, Holmes E and Trygg J. Kernel-based orthogonal projections to latent structures (K-OPLS), J Chemometrics 2007; 21:376-385. doi:10.1002/cem.1071.
## Load data set
data(koplsExample)
## Define kernel function parameter
sigma<-25
## Define number of Y-orthogonal components
nox<-3
## Construct kernel
Ktr<-koplsKernel(Xtr,NULL,'g',sigma)
## Model
model<-koplsModel(Ktr,Ytr,1,nox,'mc','mc');
## Visualize results
koplsPlotModelDiagnostics(model)
title("Model diagnostics without cross-validation")