[R] re ading and analyzing a text file
(Ted Harding)
Ted.Harding at manchester.ac.uk
Fri May 16 16:45:11 CEST 2008
On 16-May-08 14:35:18, Yasir Kaheil wrote:
>
> use the parameter 'skip' in read.table
>
> dat<-read.table("filename",skip=number of rows you want to skip)
>
> thanks
> y
Or, ironically, you can use scan(...,skip=number of rows to skip)!
See ?scan.
Best wishes,
Ted.
> DAVID ARTETA GARCIA wrote:
>>
>> Dear list,
>>
>> I have a text file from a scanner that includes 20 lines of text
>> (scanner settings) before it actually starts showing the readings in a
>> tabular format (headings are ID, intensity, background and few
>> others).
>>
>> I am a biologist with some experience using R and my question is if it
>> is possible to read this file into an R workspace and store the actual
>> readings in a dataframe, avoiding the text at the begining. It seems
>> to me that this is not the actual purpose of R, but maybe someone can
>> point me to a method for doing this. Do I need to parse the file with
>> some other programming language? is it possible to link, say, Perl or
>> C++ with R to automate the reading and the analysis of such files? The
>> aim is to be able to automate this analysis since these files are our
>> routine experimental output.
>>
>> Thanks for your help,
>>
>> D.
>>
>> ______________________________________________
>> R-help at 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.
>>
>>
>
>
> -----
> Yasir H. Kaheil
> Catchment Research Facility
> The University of Western Ontario
>
> --
> View this message in context:
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> 263.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help at 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.
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E-Mail: (Ted Harding) <Ted.Harding at manchester.ac.uk>
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Date: 16-May-08 Time: 15:45:05
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