obscontribpanel: obscontribpanel
In SCOUTer: Simulate Controlled Outliers

Description Usage Arguments Value Examples

Information about the Hotelling's T^2 and the Squared Predidiction Error (SPE) of an observation. The term T^2_A makes reference to the T^2 for a model with A principal components (PCs).

1	obscontribpanel(pcax, pcaref, obsid = NA)

`pcax`	A list with the elements of the PCA model that will be displayed: SPE, T^2_A and their constributions (E and T2matrix).
`pcaref`	A list with the PCA model according to which the distance and contributions are expressed.
`obsid`	Integer with the index of the observation of interest. Default set to `NA`.

ggplot object with the generated bar plots in a 1 x 4 subplots layout.

X <- as.matrix(X)
pcamodel.ref <- pcamb_classic(X[1:40,], 2, 0.05, "cent") # PCA-MB with first 
# 40 observations
pcaproj <- pcame(X[-c(1:40),], pcamodel.ref) # Project last observations
obscontribpanel(pcaproj, pcamodel.ref, 2) # Information about the SPE and T^2 
# of the row #2