Hi Christian,
This untested script might get you going (assuming you want a CSV format):
for(affdf in 1:length(out)) {
names(out[[affdf]])<-lapply(strsplit(names(out[[affdf]]),"[.]"),"[",2)
write.csv(out[[affdf]],file=paste("affymetrix",affdf,".txt",sep=""))
}
Jim
On Wed, Mar 23, 2016 at 6:32 AM, Christian T Stackhouse (Campus)
<ctsta...@uab.edu> wrote:
> Hello!
>
>
> The overall goal I have is taking a large data frame and splitting it into
> several smaller data frames (preserving column headers) which I can save as
> txt files to feed into my APACHE ANY23 server for conversion into RDF.
>
>
> This is what I call to split up the original file:
>
>
> out <- split(affymetrix, (seq(nrow(affymetrix))-1) %/% 140)
>
>
> I have a list (out) of length 187 for which each element is a dataframe. I
> want to iteratively save each data frame as a separate tab file with a naming
> structure such as: affymetrix1.txt, affymetrix2.txt, ... affymetrix187.txt
>
>
> Before that, I need to modify the headers to remove a prefix "X0. , X1., ...
> X187." that was introduced during my original splitting. I need to remove all
> characters before and including the first "."
>
>
> If anyone has a better way of doing this, please let me know. Otherwise, help
> with how to perform batch editing of the headers and batch saving of the
> files would be greatly appreciated!
>
>
> Best,
>
> Christian T. Stackhouse | Graduate Student
> GBS Neuroscience Theme
> Department of Neurosurgery
> Department of Radiation Oncology
> UAB | The University of Alabama at Birmingham
> Hazelrig-Salter Radiation Oncology Center | 1700 6th Ave S | Birmingham, AL
> 35233
> M: 919.724.6890 | ctsta...@uab.edu | cstackho...@uabmc.edu |
> ctsta...@gmail.com
>
> uab.edu<http://uab.edu/>
> Knowledge that will change your world
>
>
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>
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