> Well, thank you for your answer, but this is not doing the right thing, > that is predicting the Class value for the test set Soybean[test,]. It > gives instead prediction for data used for forest computation (ignoring all > data with NA's) ; 'data' argument is simply ignored as the right name for > this argument is 'newdata', which still gives the same error when named. >
oups, sorry, 'newdata' needs to be specified: R> library(mlbench) R> library(randomForest) R> data(Soybean) R> R> test <- sample(1:683, 150, replace=FALSE) R> R> sl <- Soybean[-test,] R> st <- Soybean[test,] R> R> sb.rf <- randomForest(Class~., data=Soybean, subset=-test) R> st <- st[complete.cases(st),] R> dim(st) [1] 115 36 R> sb.rf.pred <- predict(sb.rf, newdata=st) R> length(sb.rf.pred) [1] 115 R> sb.rf.pred[1:10] [1] brown-spot alternarialeaf-spot brown-spot [4] alternarialeaf-spot brown-spot anthracnose [7] bacterial-pustule bacterial-blight alternarialeaf-spot [10] frog-eye-leaf-spot 19 Levels: 2-4-d-injury alternarialeaf-spot anthracnose ... rhizoctonia-root-rot looks like an NA problem, anyway. Torsten > > length(sb.rf.pred) > [1] 445 > > dim(Soybean[test,]) > [1] 150 36 > > dim(Soybean[-test,]) > [1] 533 36 > > sb.rf.pred <- predict(sb.rf, newdata=st) > Error in matrix(t1$countts, nr = nclass, nc = ntest) : > No data to replace in matrix(...) > > At 13:13 02/04/03, you wrote: > > > > Hello everybody, > > > > > > I'm testing the randomForest package in order to do some simulations and I > > > get some trouble with the prediction of new values. The random forest > > > computation is fine but each time I try to predict values with the newly > > > created object, I get an error message. I thought I was because NA values > > > in the dataframe, but I cleaned them and still got the same error. What am > > > I doing wrong ? > > > > > > > library(mlbench) > > > > library(randomForest) > > > > data(Soybean) > > > > test <- sample(1:683, 150, replace=F) > > > > sb.rf <- randomForest(Class~., data=Soybean[-test,]) > > > > sb.rf.pred <- predict(sb.rf, Soybean[test,]) > > > Error in matrix(t1$countts, nr = nclass, nc = ntest) : > > > No data to replace in matrix(...) > > > > > >try > > > >R> test <- sample(1:683, 150, replace=FALSE) > >R> > >R> st <- Soybean[test,] > >R> > >R> sb.rf <- randomForest(Class~., data=Soybean, subset=-test) > >R> sb.rf.pred <- predict(sb.rf, data=st) > >R> > >R> sb.rf.pred[1:10] > > [1] diaporthe-stem-canker diaporthe-stem-canker diaporthe-stem-canker > > [4] diaporthe-stem-canker diaporthe-stem-canker diaporthe-stem-canker > > [7] diaporthe-stem-canker charcoal-rot charcoal-rot > >[10] charcoal-rot > >19 Levels: 2-4-d-injury alternarialeaf-spot anthracnose ... > >rhizoctonia-root-rot > > > > > >Torsten > > ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
