Momocs (version 1.0.0)

classify: Classify using LDA

Description

Classify using LDA

Usage

classify(x, fac, ref, unk)

Arguments

x

a Coe

fac

a standalone factor, or the name or id of the $fac column to use.If it contains NAs, they will also be removed first from the x object

ref

at least two level names from $fac[, "fac"] to use as a training subset of x

unk

same as above for one level name to classify

Value

a list with components:

• $N_ref the number of elements in the training set
• $N_unk the number of elements in the unknown set
• $counts counts of classification of 'unk' in each class of 'ref'
• $pc same thing as percentages
• $probs same thing as posterior probabilities
• $probs same thing as posterior but as a data.frame

Examples

data(olea)
table(olea, "var")
x <- opoly(olea, 5, verbose=FALSE)
classify(x, fac="var", ref=c("Aglan","Cypre"), unk="PicMa")