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Hello, I am having difficulty obtaining the correct colors in my R charts. > colors()[c(552, 254, 26)] [1] "red" "green" "blue" But, if I specify col=552 in my barplot, I get gray bars. Likewise, col=254 gives bright pink, and col=26 is a red-orange. I get accurate results when I spell out the names, but I am making a pallet with 20- 30 colors and it is a

Hi I am having a problem using varImpPlot in randomForest. I get the error message "Error in plot.window(xlim = xlim, ylim = ylim, log = "") : need finite 'xlim' values" When print $importance, several variables have NaN under %IncMSE. There are no NaNs in the original data. Can someone help me figure out what is happening here? Thanks! [[alternative HTML

Hi, I have some C++ code that I compiled into a dll for use in 32 bit R and would like to recompile for use in 64bit R. I thought it would be as easy as going to R-2.15.0\bib\x64 and running R CMD SHLIB mfregRF.c but that doesn't do anything. It doesn't give me any error messages, but it also doesn't create a shared (so) file. I just get the command prompt back. I also tried

Hello, I am running randomForest models on a number of species. I would like to be able to automate the printing of dependence plots for the most important variables in each model, but I am unable to figure out how to enter the variable names into my code. I had originally thought to extract them from the $importance matrix after sorting by metric (e.g. %IncMSE), but the importance matrix is n

Hi, I have been using some code for multivariate random forests. The output from this code is a list object with all the same values as from randomForest, but the model object is, of course, not of the class randomForest. So, I was hoping to modify the code for predict.randomForest to work for predicting the multivariate model to new data. This is my first attempt at modifying code from a