Hi everybody, I used random forest regression to explain the patterns of species richness and a bunch of climate variables (e.g. Temperature, precipitation, etc.) All are continuos variables. My results are really interesting and my model explained 96,7% of the variance.
Now I am trying to take advantage of the importance variable function and depicts the observed patterns using partial dependence plots. However, I found a really strange (at least for me...) behavior: the species number ranges between 1 to 150, but when I make the partial plot the graphic only represent values between 43 to 50!! I use the following code to get the partial plot: partialPlot(ampric.rf, amp.data, "Temp") where ampric.rf is the random forest object; amp.data are the data and Temp is the variable I am interested. How I can have partial plot explaining all species number (from 1 to 150)?? Also, I read the RF documentation and I was wondering what its the meaning of "marginal effect of a variable" Thanks for your help Carlos I found really interesting -- Carlos M. Zambrana-Torrelio Department of Biology University of Puerto Rico - RP PO BOX 23360 San Juan, PR 00931-3360 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
