Inline.
On Mon, Nov 21, 2011 at 5:41 AM, Peter Davidsen wrote:
> Hi,
>
> Thanks for the quick reply.
> However, your suggestion doesn't solve the problem I'm afraid (i.e
> dim(Matrix) still the same). What I want is to reduce the number of
> rows (probesets) markedly based on their normalized int
Hi,
Thanks for the quick reply.
However, your suggestion doesn't solve the problem I'm afraid (i.e
dim(Matrix) still the same). What I want is to reduce the number of
rows (probesets) markedly based on their normalized intensity - thus
I've chosen a cut-off of 1.11
When I run your code (as well a
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
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.
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