NB: When I write 'exp value' I mean log transformed, background
corrected expression values derived from Affy chips (I used the
'justRMA' command to read my CEL files and compute an expression
measure)
Kind regards,
Peter
On Mon, Nov 21, 2011 at 05:09, Dennis Murphy <djmuser at gmail.com> wrote:
Without a reproducible example this is just a guess, but try
Matrix[apply(Matrix, 1, function(x) any(x > 1.11)), ]
This will retain all rows of Matrix where at least one value in a row
is above the threshold 1.11. If that doesn't do what you want, please
provide a small reproducible example and a clearer statement of the
desired output. It's not at all clear to me what 'exp. values' means -
I can devise at least three meanings off the top of my head, none of
which may conform to what you mean.
HTH,
Dennis
On Sun, Nov 20, 2011 at 2:45 PM, Peter Davidsen <pkdavidsen at gmail.com> wrote:
Dear List,
I have a data matrix that consists of ~4500 rows and 25 columns (i.e.
an exprSet object that I converted via the 'exprs' function into a
data matrix)
Now I want to remove/delete the rows where all exp. values in that
particular row are below or equal to a specific cut-off value (e.g
1.11)
I have tried using several commands to address this issue:
Matrix[rowSums(Matrix <= 1.11) <= 1.11, ]
Matrix[ !apply(Matrix<=1.11,1,all), ]
The above commands seem to work fine when I generate a small "test" matrix like:
M <- matrix(c(2,5,8,0.4,0.8,0.5,4,12,3), nrow=3, byrow=T)
However, non of the two commands decrease the number of rows in my real matrix!
Any help would be appreciated
Kind regards,
Peter