On Dec 2, 2009, at 5:01 PM, Philippe Thomas wrote:

David Winsemius schrieb:

On Dec 2, 2009, at 4:09 PM, Philippe Thomas wrote:

Dear R users,

I'm currently visualizing my data using scatter3d from the "Rcmdr" package. I have data points which can be separated in two classes. Data points from class 'A' should be colourised red and data points in class 'B' should be colourised 'blue'. No matter what I try, the data points are always blue.

I attached a (very) minimal example to reproduce my problem.

Thanks,
 Philippe

library("Rcmdr")

scatter3d(x=c(1,2), y=c(1,2), z=c(1,2),
       groups=as.factor(c(1,2)),
       point.col=c('red','blue'), surface=F)

Now that is weird! (I'm not a regular user of Rcmdr.) I didn't think that rgl would run under the 64 bit R, but there does seem to be a functioning rgl widow that comes up. Hmmm .... Need to investigate this further. Looks promising.

Dropping the groups term corrects your color problem, so the colors are probably <somehow> being derived from the numerical underpinnings of the group factor.

--

Hi David,

thanks for your answer. Dropping the groups term does not solve my problem. After dropping the term both data points have a red colour.

Then it's probably time to compare details from your sessionInfo(), capabilities(), and system specs. I'm on a Mac running with the R64 GUI and graphics devices vary quite a bit across the range of OSes.

Just to be clear this was my function:

scatter3d(x=c(1,2), y=c(1,2), z=c(1,2),
        point.col=c('red','blue'), surface=F)

>  capabilities()
    jpeg      png     tiff    tcltk      X11     aqua http/ftp  sockets
    TRUE     TRUE     TRUE     TRUE     TRUE     TRUE     TRUE     TRUE
  libxml     fifo   cledit    iconv      NLS  profmem    cairo
    TRUE     TRUE     TRUE     TRUE     TRUE     TRUE     TRUE

> sessionInfo()
R version 2.10.0 Patched (2009-10-29 r50258)
x86_64-apple-darwin9.8.0

locale:
[1] en_US.UTF-8/en_US.UTF-8/C/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] tcltk     stats     graphics  grDevices utils     datasets  methods
[8] base

other attached packages:
[1] mgcv_1.5-6           rgl_0.87             Rcmdr_1.5-3
[4] car_1.2-16           scatterplot3d_0.3-29

loaded via a namespace (and not attached):
[1] grid_2.10.0     lattice_0.17-26 nlme_3.1-96     tools_2.10.0

David Winsemius, MD
Heritage Laboratories
West Hartford, CT

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