search for: regr2

Hi Sacha, On second thought, perhaps this is more the direction that you want ... X2 = cbind(X_train,y_train) colnames(X2)[3] = "y" regr2<-randomForest(y~x1+x2, data=X2,maxnodes=10, ntree=10) regr regr2 #Make prediction predictions= predict(regr, X_test) predictions2= predict(regr2, X_test) HTH, Eric On Tue, May 9, 2023 at 6:40?AM Eric Berger <ericjberger at gmail.com> wrote: > Hi, > One problem you have is with t...

...ch predicted values together with age and cohort values to plot a 3-D surface plot. Since my dataset is very large, it is certainly useless to plot 3-D points scatter plot, which is very difficult to discern the pattern. By the way, I have tried "plot3d", "scatterplot" and "regr2.plot" to give scatter plot. So, do you have any suggestion on how to plot a surface plot given above information? For example, how to use "persp" or "wireframe" in case of lmer with more than two explanatory variables? Thank you very much for helping! Best wishes! -- View...

Hello Masters, wishing you all a great 2011 I was also going to ask if anyone knows a quick and efficient way to plot a regression plane (z~x*y). I have tried the regr2.plot{HH} function but it is only an educational tool and has poor graphical properties. I also tried to run the following script on a fictitious longitudinal problem, with poor results set.seed(1234) id<-c(rep(1,3),rep(2,4),rep(3,2)) # subjects y<-rchisq(9,df=20) #response k<-rnorm(9,4,...