Hi,
On Jul 29, 2009, at 3:02 PM, sandsky wrote:
Data has the first row for variable name and the first column for
sample
name. I want to take "Log" for all data, but how to compute without
the
first column for sample name.
That is,
column 1: sample ID
column 2-10: data
I think one thing you could/should do in your case is to set your
rownames to your (I assume) unique sample ID's:
rownames(raw_data) <- raw_data[,1]
Then just nuke that first column:
raw_data <- raw_data[,-1]
But even if you don't do that:
I want to find an average on each column (2-10)
apply(raw_data,2,mean)
Error in Math.data.frame(list(sample_id = c(1L, 2L, 3L, 4L, 5L, 6L,
7L, :
non-numeric variable in data frame: sample_id
You can just run your function over all of the columns *except* the
first:
apply(raw_data[,-1], 2, mean)
But in this specific case, you can use the specialized colMeans
function:
colMeans(raw_data[,-1])
-steve
--
Steve Lianoglou
Graduate Student: Computational Systems Biology
| Memorial Sloan-Kettering Cancer Center
| Weill Medical College of Cornell University
Contact Info: http://cbio.mskcc.org/~lianos/contact
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
