I cannot understand what is going wrong here.
data.train <- read.table("Assign2.WineComplete.csv",sep=",",header=T)
# Building decision tree
Train <- data.frame(residual.sugar=data.train$residual.sugar,
total.sulfur.dioxide=data.train$total.sulfur.dioxide,
alcohol=data.train$alcohol,
quality=data.train$quality)
Pre <- as.formula("pre ~ quality")
fit <- rpart(Pre, method="class",data=Train)
I am getting the following error :
Error in eval(expr, envir, enclos) : object 'pre' not found
I think I got what I was looking for..
data.train <- read.table("Assign2.WineComplete.csv",sep=",",header=T)
fit <- rpart(quality ~ ., method="class",data=data.train)
plot(fit)
text(fit, use.n=TRUE)
summary(fit)
This can happen if you don't attach your dataset.
i use colname(train) = paste("A", colname(train)) and it turns out to the same problem as yours.
I finally figure out that randomForest is more stingy than rpart, it can't recognize the colname with space, comma or other specific punctuation.
paste function will prepend "A" and " " as seperator with each colname. so we need to avert the space and use this sentence instead:
colname(train) = paste("A", colname(train), sep = "")
this will prepend string without space.
Source: Stackoverflow.com