lda: Runs Linear Discriminant Analysis using the MASS package....

In PrenolanM/rsegmenter: What the Package Does (One Line, Title Case)

Runs Linear Discriminant Analysis using the MASS package. Returns the lda model object from the MASS package with an additional elements that holds the fishers classification function coefficients and the predicted outcome.

Description

Runs Linear Discriminant Analysis using the MASS package. Returns the lda model object from the MASS package with an additional elements that holds the fishers classification function coefficients and the predicted outcome.

Usage

lda(df, id, dep, indeps, prior = NULL, create_algorithm = FALSE)

Arguments

df	data.frame of numeric variables.
id	unique row identifier.
dep	target variable to be predicted.
indeps	predictor variables.
prior	numeric vector of prior probabilities. If NULL, will default to 1 divided by number of distinct categories in the dependent variable.
create_algorithm	TRUE/FALSE. If TRUE, will produce an excel file containing the prediction algorithm.

Examples

df <- rsegmenter::test_seg_unlabelled
lda(df, dep="seg1", indeps=c("seg2","seg3","seg4"),prior=rep(1/4,4))

PrenolanM/rsegmenter documentation built on Aug. 7, 2022, 8:56 p.m.