Hi
I am trying to explore the use of random forests for regression to
identify the important environmental/microclimate variables involved in
predicting the abundance of a species in different habitats, there are
approx 40 variable and between 200 and 500 data points depending on the
dataset. I have successfully used the randomForest package to conduct
the analysis and looked at the %IncMSE and IncNodeImpurity values given
by calling and plotting these out and have looked at the partial
dependence plots for the different variables effect of the response but
I have been looking though the literature to see how people have
previously used this type of analysis and I would like to be able to
plot out the overall variable importance in some form of PCA Scree graph
but havn't got a clue how to even start this so any suggestions will be
most appreciated?
Many thanks in advance
Lara
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