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...he bin categories as labels and simply outputs the factor values of the number of bins. In much more detail: One set of data is fractional values for the amount of cropland in a designated area (raster cell). The second is annual average temperature data, in the same format. I import these using: xRaw<-scan(".../Temp.txt") yRaw<-scan(".../Cropland.txt") and then designate cells with values of -9999 as NAs: x<-ifelse(xRaw==-9999,NA,xRaw) y<-ifelse(yRaw==-9999,NA,yRaw) Then, I compile them into a 2 column data frame, and exclude the NA values: zRaw<-data.frame(...

.....................PLOT the Image in Java Window......................................................................... JavaGD(name="JavaGD", width=640, height=480) #.........................................suppress margins all around......................... par(mar=c(0,0,0,0)) image(xraw,col=my.grays(256),axes=F) #....................................Set up loop.......................................................................................................... tot_subsets<-5 ss<- matrix(0,nrow=tot_subsets,ncol=4) print("begin selections") # ......................