ht2info: ht2info
In SCOUTer: Simulate Controlled Outliers

Description Usage Arguments Value Examples

Returns information about the Hotelling's T^2 statistic for an observation. Two subplots show the information of an observation regarding its T^2 statistic, i.e.: a bar plot indicating the value of the statistic for the observation, and a bar plot with the contribution that each component had for the T^2 value. The term T^2_A makes reference to the T^2 for a model with A principal components (PCs).

1	ht2info(HT2, T2matrix, limht2, iobs = NA)

`HT2`	A vector with values of the Hotelling's T^2_A statistic.
`T2matrix`	A matrix with the contributions of each PC (A columns) for each observation (rows) to the Hotelling's T^2_A statistic.
`limht2`	Upper Control Limit for the Hotelling's T^2_A statistic, at a certain confidence level (1-alpha)*100 %.
`iobs`	Integer with the index of the observation of interest. Default value set to `NA`.

ggplot object with the generated bar plots.

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
ht2info(pcaproj$T2, pcaproj$T2matrix, pcamodel.ref$limt2, 2) # Information about 
# the T^2 of the row #2