library(tree)
library(ISLR)
data("Carseats")
High<-ifelse(Carseats$Sales<=8,'No','Yes')
Carseats<-data.frame(Carseats,High)
tree.Carseats<-tree(as.factor(High)~.-Sales, data = Carseats)
summary(tree.Carseats)
plot(tree.Carseats)
text(tree.Carseats,pretty=0)
set.seed(1)
train=sample(1:nrow(Carseats),200)
I am writing to ask about the code train=sample(1:nrow(Carseats),200)
.
The result of this code simply show the data and I cannot use View(train)
to see the data set.
IMO,I think for the sample
, we are going to choose the row of the dataset data(Carseats)
, each element should contain some labels such as Sales, Income...
Maybe I am confused with the theoretical ideas behind.