[R] Rpart

[Luisa Sêco]

Dear users,

I'm using rpart for classification trees, but my code isn't working when I
try to use all the variables in my data frame. This data frame was created
from a data frame with 1775 variables, but I choose only 13.

 arv13<-rpart(iv~.,data=gn,method="class",parms=list(split="information"))

#Error:

Error in `[.data.frame`(frame, predictors) : undefined columns selected

"gn" is a data.frame, so I don't understand where is my mistake.

If I read the data.frame from a txt file "g13.txt" previously saved,
instead creating the data.frame "gn" from the data frame with 1775
variables (columns), it works.

My question is: which properties must the data file have to use rpart doing
"iv ~ ." ?

Thank you very much,

My best regards

Luísa Sêco
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"iv" "754" "923" "972" "1058" "1223" "2118" "2593" "2605" "2777" "3055" "3186" "3193" "3393"
"1" 3 1 0 1 1 1 1 0 0 0 1 0 0 0
"2" 2 1 1 1 1 0 0 1 0 0 0 1 1 1
"3" 2 1 0 1 1 0 0 1 1 0 0 1 0 1
"4" 3 1 1 1 1 0 0 0 0 0 1 1 0 0
"5" 2 1 1 1 1 0 0 1 0 0 1 1 0 0
"6" 2 1 1 1 1 0 0 1 0 0 0 0 1 1
"7" 1 1 0 1 1 0 1 0 1 0 0 0 1 1
"8" 3 1 1 1 1 0 1 0 0 0 0 1 1 1
"9" 2 1 0 1 1 0 0 0 0 0 1 0 0 1
"10" 2 1 1 0 1 0 0 1 0 0 1 0 1 0
"11" 2 1 0 1 1 0 0 0 0 0 1 0 0 1
"12" 1 1 1 1 1 1 1 0 1 0 1 0 0 0
"13" 1 1 0 1 1 1 0 1 1 1 0 0 1 0
"14" 1 1 1 1 1 1 1 0 1 0 0 0 1 0
"15" 2 1 0 1 1 1 0 1 0 0 1 1 1 0
"16" 1 1 0 1 0 0 0 1 0 1 1 0 1 0
"17" 1 0 1 1 1 1 1 0 1 1 0 0 1 0
"18" 2 1 1 1 1 0 0 0 0 0 1 0 0 0
"19" 1 0 0 1 1 0 1 1 1 0 1 0 1 0
"20" 3 1 0 1 1 0 1 0 1 0 0 0 1 1
"21" 2 1 0 0 1 0 0 0 0 0 1 0 0 1
"22" 1 0 0 1 1 1 1 1 1 0 1 0 1 0
"23" 1 0 0 1 0 0 0 1 0 0 1 0 1 0
"24" 2 0 1 1 1 1 0 1 0 0 1 0 1 1
"25" 1 0 0 1 1 0 0 0 1 1 0 0 1 0
"26" 3 1 0 0 1 0 0 0 0 0 1 0 1 1
"27" 2 1 1 0 1 0 0 1 0 0 1 1 0 0
"28" 3 1 1 1 1 0 0 0 1 0 0 0 1 0
"29" 1 0 0 1 0 1 0 0 1 1 1 0 1 0
"30" 3 1 0 0 1 0 1 1 1 0 0 1 1 1
"31" 3 0 0 0 1 0 0 0 0 0 0 0 1 1
"32" 3 0 0 1 1 1 1 1 0 1 0 0 1 0
"33" 1 1 1 1 1 1 1 0 1 1 1 0 1 0
"34" 1 1 0 1 0 1 0 0 1 0 0 0 0 0
"35" 3 1 1 1 1 0 0 0 1 0 1 0 1 1
"36" 2 1 1 0 1 0 0 0 0 1 1 0 1 1
"37" 3 1 0 1 1 0 0 1 0 0 0 0 1 1
"38" 3 0 0 1 1 0 1 0 0 0 0 0 1 1
"39" 2 1 1 1 1 0 0 1 0 0 1 1 1 1
"40" 2 1 1 1 1 0 0 1 0 1 0 0 1 1
"41" 3 1 1 1 1 1 1 0 1 1 1 1 1 1
"42" 3 1 0 1 1 0 1 0 1 1 1 0 1 0
"43" 1 0 0 1 1 0 0 0 1 1 0 0 1 0
"44" 3 0 1 0 1 0 0 1 1 0 1 0 1 0
"45" 2 1 1 1 1 1 0 0 0 0 0 0 1 0
"46" 3 1 1 1 1 0 0 0 1 0 0 1 1 1
"47" 2 1 0 0 1 0 0 0 0 0 1 0 0 1
"48" 1 0 0 1 1 1 0 1 1 1 0 1 1 0
"49" 3 1 1 0 1 0 0 0 1 0 0 0 1 0
"50" 2 1 1 0 1 1 0 1 1 0 1 1 1 1
"51" 2 1 0 1 1 1 0 1 1 0 1 1 0 1
"52" 1 1 0 1 1 1 0 0 1 1 0 0 1 0
"53" 3 1 1 0 1 0 0 0 0 0 1 1 0 0
"54" 1 1 0 0 1 1 0 1 0 0 0 0 1 1
"55" 2 1 0 0 1 0 0 1 1 0 1 1 0 0
"56" 2 1 0 0 1 0 0 1 1 0 1 1 0 1
"57" 2 1 1 0 1 0 0 1 1 1 0 1 1 1
"58" 3 1 1 0 1 0 0 0 0 0 0 0 1 0
"59" 3 1 1 0 1 0 0 0 0 0 0 0 1 0
"60" 1 1 0 1 1 0 0 0 0 1 1 0 1 0
"61" 1 1 1 0 0 0 0 0 0 0 1 1 1 1
"62" 2 1 1 0 1 0 0 1 0 1 1 1 0 1
"63" 2 1 1 1 1 0 0 1 0 0 1 0 1 1
"64" 2 1 1 1 1 0 0 1 0 0 1 0 1 1
"65" 1 1 0 1 0 1 1 0 1 1 0 0 1 0
"66" 2 1 1 0 1 0 0 1 0 1 1 1 0 0
"67" 2 1 0 0 1 0 0 0 0 0 1 0 1 0
"68" 2 1 1 0 1 0 0 0 0 0 1 0 0 0
"69" 2 1 1 0 1 0 0 1 1 0 1 1 1 1
"70" 1 1 0 0 1 1 0 0 0 0 0 0 1 1
"71" 3 1 1 0 1 0 0 0 1 0 0 1 1 1
"72" 3 1 0 1 1 1 0 0 1 1 0 0 0 0