Dear R community,
Iâm trying to use the âpartyâ package to view variables that are
important in my data frame (FIM_RS4). My data has a combination of ordinal,
nominal, categorical, and continuous data. Iâve written my code below, with
my predictor variables being 2:36, and my response is 37 (Mussel). If anyone
could point me in the direction of how to get rid of this error message, I
would very much appreciate the guidance.
FIM_RS4<-read.csv("FIM_RS_4.csv", header=TRUE, stringsAsFactors=T)
#all ordinal variables have been ordered in my complete code as well
mycontrols <- cforest_control(ntree=5000,mtry=4, minsplit=5)
cforest.rf <- cforest(as.factor(Mussel)~., data=FIM_RS4[,c(37,2:36)],
controls=mycontrols)
# indata=FIM_RS4[,2:36]
# rf.model=cforest.rf
temp <- varimp.function(indata=FIM_RS4[,2:6],
rf.model=cforest.rf,num.iterations=5, seedset = 2000,condition.varimp =
T,write_csv=F)
à Error in model@fit(data, ...) : error code 1 from Lapack routine 'dgesdd'
#The reason Iâm assigning a varimp.function to temp is to run iterations in
the next piece of code.
#Same error occurs if I do not assign the iteration function varimp.function to
temp, and simply do:
varimp(cforest.rf, conditional = TRUE)
à Error in model@fit(data, ...) : error code 1 from Lapack routine 'dgesdd'
Many thanks in advance,
Rox
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