Classify samples into classes — classify • biplotEZ

Classify samples into classes

Usage

classify(
  bp,
  classify.regions = TRUE,
  col = ez.col,
  opacity = 0.4,
  borders = FALSE
)

Arguments

bp: an object of class biplot
classify.regions: a logical value indicating whether classifications regions should be shown in the biplot, with default TRUE.
col: the colours of the classification regions
opacity: the opacity levels of the classification regions
borders: the border colours of the classification regions

Value

A list object called classify appended to the object of class biplot with the following elements:

table: the confusion matrix resulting from the classification into classes.
rate: the classification accuracy rate.
classify.regions: a logical value indicating whether classification regions are shown in the biplot.
aes: a list of chosen aesthetics for the colours, opacity levels and border colours of the classification regions.

Examples

biplot(iris[,1:4],classes = iris[,5]) |> CVA() |> axes(col="black") |> 
  classify(col=c("red","blue","orange"),opacity=0.1) |> plot()