() in later runs.
If time is an issue, a slightly faster way to do this, after the
strsplit() function is:
Rumino_Reps_agreeWalign$geneid.prefix - sapply(gene.list, [, 1)
Rumino_Reps_agreeWalign$geneid.suffix - sapply(gene.list, [, 2)
Jean
alison waller wrote on 04/11/2012 08:23:29 AM
Dear all,
I want to use string split to parse column names, however, I am having
some errors that I don't understand.
I see a problem when I try to rbind the output from strsplit.
please let me know if I'm missing something obvious,
thanks,
alison
here are my commands:
Hi all,
I'm having problems installing plotrix. I tried installing it through
install.packages, and from the unix command line, but each time it seems to
stall when it is installing the help indices.
has anyone had this same problem, is this package still maintained ?
any help?
thanks
Hi all,
I have some data as follows.
Cat1 Cat2 Cat3 COG Counts
ABC COG1 10
BD COG2 20
C COG3 30
D COG4 40
I would like to sum all the counts for each category:
A B C D
10 30 40 60
CAT2COG-
Thanks!
I tried reading the help for aggregate and can't figure out which form
of the formula I am using, and therefore the syntax.
I'm getting the below error.
aggregate(counts ~ ind, merge(stack(CAT2COG), df, by = 1), sum)
Error in as.data.frame.default(x) :
cannot coerce class formula
Yes, I guess I should update.
R.version.string
[1] R version 2.9.0 (2009-04-17)
On 24-Oct-10, at 1:12 AM, Gabor Grothendieck wrote:
R.version.string
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read
Hi all,
I have a large table mapping thousands of COGs(groups of genes) to
pathways.
# Ex
COG0001 patha pathb pathc
COG0002 pathd pathe
COG0003 pathe pathf pathg pathh
##
I would like to combine this information into a big list such as below
COG2PATHWAY-
list
(COG0001
=
c
Thanks Gabor and Jeffrey,
and thanks for explaining the differences. I think I'll go with
Jeffery's as I think I want entries for COGs with no pathway.
Alison
On 10-Oct-10, at 8:59 PM, Jeffrey Spies wrote:
sapply(dat, function(x){
tmp-unlist(strsplit(x, '\t', fixed=T))
out -
Hi all,
I have 6 datasets(dataframes Assem_ContigsLen7 through all_ContigsLen12)
containing 3 columns (contig_id, contig_length, read_count).
Each dataset is composed of 3 types of contigs (assemblies of genomic
fragments), 1- all Bacterial fragments, 2 - all Viral fragments, 3 -
mixed
/10 16:01, Uwe Ligges wrote:
On 10.03.2010 12:45, alison waller wrote:
Thanks Gabor,
As I said I would like to use gsubfn, but I am having problems
installing it, which I assume are due to some conflict with the current
tcltk package
Below is the error I got after issuing install.packages
, dependencies, available, lib) :
package 'tcltk' is not available
On 03/09/10 16:26, Gabor Grothendieck wrote:
On Tue, Mar 9, 2010 at 7:10 AM, alison waller alison.wal...@embl.de wrote:
Hi all,
Thanks for help with the paste and sprintf syntax.
So I've decided to use paste and or sprintf
(). That, and use sep='' to get
rid of unwanted space characters.
Using paste is also effective for constructs like
IN (3,4,5)
or
IN ('a','b','c')
though it can be necessary to nest one paste within another
-Don
At 2:06 PM +0100 3/8/10, alison waller wrote:
Hello,
I am using RmySQL and would
Hello,
I am using RmySQL and would like to iterate through a few queries.
I would like to use sprintf but I think I'm having problems mixing and
matching the sprintf syntax and the SQL regex.
I have checked my sqlcmd and it works when I wan to match %MG1% but how
do I iterate for i 1-72?
gene.
Thanks again for any suggestions,
Alison
-Original Message-
From: Martin Morgan [mailto:[EMAIL PROTECTED]
Sent: Thursday, December 06, 2007 4:06 PM
To: alison waller
Subject: Re: [R] finding most highly transcribed genes - ranking, sorting
and subsets?
Hi Alison --
I'm not sure
Thanks - great, should have thought of option b)
-Original Message-
From: Martin Morgan [mailto:[EMAIL PROTECTED]
Sent: Friday, December 07, 2007 12:52 PM
To: alison waller
Cc: [EMAIL PROTECTED]
Subject: Re: [R] finding most highly transcribed genes - ranking, sorting
and subsets?
Hi
Hello,
I am not only interested in finding out which genes are the most highly up-
or down-regulated (which I have done using the linear models and Bayesian
statistics in Limma), but I also want to know which genes are consistently
highly transcribed (ie. they have a high intensity in the
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