LDA analysis, not finding object in data frame despite it being defined-CodePudding

was doing LDA analysis on some dataset in ISLR library, I defined a another column as "crime", I ran analysis through glm() and ran it again using lda, however it is not finding the crime variable column which is weird because its the same train dataset I used, here is my code

Library(ISLR)
data(Boston)
Boston
nrow(Boston)
ncol(Boston)
colnames(Boston)
summary(Boston)
Boston$crime<-ifelse(Boston$crim>median(Boston$crim),1,0)
split_size=0.7
sample_size=floor(split_size*nrow(Boston))
set.seed(123)
train_indices<-sample(seq_len(nrow(Boston)),size=sample_size)

boston.train<-Boston[train_indices,]
boston.test<-Boston[-train_indices,]
summary(boston.train)
summary(boston.test)

boston.lda<-lda(crime~.,abs(-crime-crim),data=boston.train)
lda.pred<-predict(boston.lda,boston.test)
boston.train

CodePudding user response：

It can't find crime because where lda is expecting data you provide it with abs(-crime-crim)

What is abs(-crime-crim) supposed to be doing in the lda call? If you just remove it, the call will work.

By the way, the Boston dataset is in the MASS library, not in the ISLR library.