Kevin,
I guess this may not have a one line solution (I may be wrong). I would try
something like this:
-Get all the unique (use 'unique') values in 'temp'
-Loop through these values and extract the subset of data and perform the
ANOVA on this subset.
As an example, code may go something like thi
See the 'fpc' package available in CRAN.
I have found 'kmeansruns' to be quite useful.
-Ashoka
---
Scientist
Pacific Northwest National Laboratory
Richland, WA
On Dec 10, 2007 4:42 AM, Christophe Genolini <[EMAIL PROTECTED]> wrote:
> Hi all
>
> I am working on k-means algorithm (in R: kmeans( )
Check the Rowv, Colv options to heatmap.2
data(mtcars)
x <- as.matrix(mtcars)
heatmap.2(x, Rowv=FALSE, dendrogram="column")
-Ashoka
Scientist - Pacific Northwest National Lab
On Dec 5, 2007 4:20 PM, affy snp <[EMAIL PROTECTED]> wrote:
> Dear list,
>
> I am using heatmap.2(x) to draw a hea
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