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Using the iris dataset as an example, I understand to perform LDA, you can use this:

library(MASS) 
iris[1:4] <- scale(iris[1:4])
sample <- sample(c(TRUE, FALSE), nrow(iris), replace=TRUE, prob=c(0.7,0.3))
train <- iris[sample, ]
test <- iris[!sample, ] 

model <- lda(Species~., data=train)

#view model output
model

and it will return the group means, coefficient of linear discrimants and proportion of trace.

However, is there a way to extract the coefficient of linear discriminant into a dataframe?

Vinícius Félix
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evanbourne220
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1 Answers1

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you can checkout the whole data strucutre with str(model) and with model$scaling you can get the data.frame with the linear discriminants

Domingo
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