On Mon, 22 Aug 2016, MIKE DE LA HOZ wrote:
Hi,
I am running a chaid tree using titanic dataset (see attachment)
setwd("C:/Users/miguel")
titanic <- read.csv("train.csv")
titanic.s <- subset( titanic, select = -c(PassengerId, Name ) )
ctrl <- chaid_control(minsplit = 20, minbucket = 5, minprob = 0)
chaidTitanic <- chaid(Survived ~ ., data = titanic, control = ctrl)
It looks like I get the following error
Error: is.factor(x) is not TRUE
can you please help me here? I am not able to follow this type of error. if you
can rewrite the sentence for me, It will be much appreciated
To be able to apply the chaid() function all variables (both response and
predictor) need to be categorical variables, i.e., in R of class "factor".
It is not clear which variables are the culprits here because your example
is not reproducible. I guess that there are at least some numeric
regressor variables. Maybe the "Survived" response is also in numeric
dummy coding rather than the appropriate "factor" variable.
In any case, I would recommend to use a tree model that can deal with both
kinds of regressor variables. If you want something that selections split
variables and split points based on statistical tests, ctree() from
package "partykit" would be the obvious candidate.
Thanks
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