Hi, I am using the randomForest package for species distribution modelling. I am facing two problem in this work. First when fitting the model i am getting warning message: "Warning message:
In randomForest.default(m, y, ...) :
The response has five or fewer unique values. Are you sure you want to do regression?"
I am also getting error mesg when predicting the model in raster stack of env. variables as :
"n eval(predvars, data, env) : object 'X' not found"
Could you explain me the reason for such warning/error message?
I will be grateful if you have any tutorials to use randomforest in species distribution modelling.
Thank you
Dear Bipin,
Have a look on this excellent material http://rspatial.org/sdm/rst/6_sdm_methods.html#random-forest (this is specifically for randomForest in SDM, but the whole "R spatial" is very useful)
Best regards,
martin
Dear Ashish Dutt ,
Thank you very much for your answer. I have used randomForest in satellite image classification previously. In that time I have converted my response variable (landcover class) to factor as you told. But this time i am modelling the spices distribution. I have species presence/absence(1/0) as response variables and 15 environmental variables. So I am doing regression here not the classification. I will try once again if faced problem, I will send you reproducible example of error message as your suggestion.
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