Hi, I'm having trouble plotting populations as separate colors and points in the 3d scatterplot package. I have a column with 4 different population names and 3 columns with my data. I want to plot each population with a different color and pch. In addition, I want to use the type="h" in my plotting so that I can see the points clearly in my graph( for publication purposes). I've also attached an example dataset.
I simply want to show that each population clusters separately in space. I've attached a visual representation of what I want my data to look like. The scripts for this graph is as follows: data(trees) s3d <- scatterplot3d(trees, type = "h", color = "blue", angle = 55, scale.y = 0.7, pch = 16, main = "Adding elements") For some reason, R will not read my header, so I had to use the data.frame function to get R to read my data. This is a real pain because I have tons of data. I've tried the following to get R to recognize each population type separately: PopulationType.LK1<-PopulationType[LK1] PopulationType.LK2<-PopulationType[LK2].... points((PopulationType.LK1, col="red", pch=19), (PopulationType.LK2, col="blue", pch=22), .....) When I tweak the example tree code from above, R will plot all of my data no problem (with the rgl 3d graphs, not scatterplot3d), but only with one color and plotting character. It seems pretty straightforward, but I've spent 4 days on this already. Any help would be greatly appreciated. Regards, EJ
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