I am trying to run a monte carlo process using snow with a MPI cluster. I
have ~thirty processors to run the algorithm on and I want to run it 5000
times and take the average of the output. A very simple way to do this is
to divide 5000 by the number of processors to get a number n and tell
The offset argument used in glm and other functions seems to have been
removed from the argument list for coxph. I am wondering if there is a
reason for this and if there is a possible work-around in order to produce a
cox-ph object without fitting coefficients?
Thanks,
Mike
I am trying to preprocess a large dataset of affymetrix data. Creating an
affybatch is not possible with the computer I am running it on, so I have used
the justRMA command to run RMA. I have read the affy document describing the
justRMA command and the help documentation but I am unclear as
I have created a data frame using the read.table command. I want to be able to
access the rows by the row name, or a vector of row names. I know that you can
access columns by using the data.frame.name$col.name. Is there a way to access
row names in a similar manner?
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