ldaErr: Calculate Error Rates for Linear Discriminant Model

In gamclass: Functions and Data for a Course on Modern Regression and Classification

Calculate Error Rates for Linear Discriminant Model

Description

Given an lda model object, calculate training set error, leave-one-out cross-validation error, and test set error.

Usage

ldaErr(train.lda, train, test, group = "type")

Arguments

train.lda	Fitted lda model object.
train	Training set data frame.
test	Test set data frame.
group	Factor that identifies groups in training data.

Value

Vector that holds leave-one-out, training, and test error rates

Examples

## Not run: 
data(spam, package='kernlab')
spam[,-58] <- scale(spam[,-58])
nr <- sample(1:nrow(spam))
spam01 <- spam[nr[1:3601],]     ## Use for training,
spam2 <- spam[nr[3602:4601],]   ## Test
spam01.lda <- lda(type~., data=spam01)
ldaRates <- ldaErr(train.lda=spam01.lda, train=spam01, test=spam2, group="type")

## End(Not run)

gamclass documentation built on Aug. 21, 2023, 5:07 p.m.