Well, the data is generated by a perl script, and I could just configure the
perl script so that there is one file per data table, but I though I'd probably
must more efficent to have all records in a single file rather than reading a
thousands of small files ... .
kind regards,
Arne
-----Original Message-----
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] Behalf Of Philipp Pagel
Sent: Wednesday, March 08, 2006 12:44
To: [email protected]
Subject: Re: [R] data import problem
On Wed, Mar 08, 2006 at 12:32:28PM +0100, [EMAIL PROTECTED] wrote:
> I'm trying to read a text data file that contains several records
> separated by a blank line. Each record starts with a row that contains
> it's ID and the number of rows for the records (two columns), then the
> data table itself, e.g.
>
> 123 5
> 89.1791 1.1024
> 90.5735 1.1024
> 92.5666 1.1024
> 95.0725 1.1024
> 101.2070 1.1024
>
> 321 3
> 60.1601 1.1024
> 64.8023 1.1024
> 70.0593 2.1502
That sound like a job for awk. I think it will be much easier to
transform the data into a flat table using awk, python or perl an then
just read the table with R.
cu
Philipp
--
Dr. Philipp Pagel Tel. +49-8161-71 2131
Dept. of Genome Oriented Bioinformatics Fax. +49-8161-71 2186
Technical University of Munich
Science Center Weihenstephan
85350 Freising, Germany
and
Institute for Bioinformatics / MIPS Tel. +49-89-3187 3675
GSF - National Research Center Fax. +49-89-3187 3585
for Environment and Health
Ingolstädter Landstrasse 1
85764 Neuherberg, Germany
http://mips.gsf.de/staff/pagel
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