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I am running following program on R-studio: 

risk <- read.csv(file = "H:/classifyrisk.txt", 
           header=TRUE,sep="\t", stringsAsFactors = FALSE)  
choose <- runif(dim(risk)[1],0,1) 
train <- risk[which(choose <=0.75),]   
test <- risk[which(choose >0.75),]     

library(rpart)    
cart.o <- rpart(risk ~ marital_status+mortgage+loans+age+income,  
             data=train, method = "class")

However, I am getting following error:

'Error in eval(predvars, data, env) : invalid 'envir' argument of type 'character''

Can you guys please help in resolving this error? Dataset used is : classifyrisk.txt (Also available on github)(Not sure how to upload data file here)

Thanks..enter code here

G5W
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Dips
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  • what do you get if you type `sapply(train, class)` ? – G5W Mar 06 '19 at 18:42
  • For including data in R stack overflow questions, look up the `dput()` function and see [here](https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example) for advice on how to include data and make questions reproducible. – Jan Boyer Mar 06 '19 at 18:44
  • Output for sapply(train,class) is as below: y,3,34,other,28060.700000,bad loss n,2,37,other,28009.340000,bad loss n,2,29,other,27614.600000,bad loss "character" "character" "character" n,2,28,other,26271.860000,bad loss n,2,25,other,23888.300000,bad loss n,2,41,other,35249.250000,bad loss "character" "character" "character" – Dips Mar 10 '19 at 17:52

0 Answers0