[R] Help converting .txt to .csv file

Spencer Brackett @pbr@ckett20 @ending from @@intjo@ephh@@com
Thu Dec 27 00:42:22 CET 2018


Mr. Heiberger,

 Thank you for the insight! I will try out suggestion.

Best,

Spencer Brackett

On Wed, Dec 26, 2018 at 6:34 PM Richard M. Heiberger <rmh using temple.edu> wrote:

> I looked at the first file.  It gives an option to download as TSV
> (tab separated values).
> That is the same as CSV except with tabs instead of commas.
> You do not need any external software to read it.  Read the downloaded
> file directly into R.
>
> read.delim looks as if it would work directly on the downloaded file.
> ?read.delim
> The notation "\t" means the tab character.
>
> As an aside, stay away from notepad. it is too naive for almost
> anything interesting.
> The specific case I often see is people reading linux-style text files
> with notepad, which doesn't
> understand NL terminated lines.  nicely formatted text files become
> illegible.
>
> On Wed, Dec 26, 2018 at 6:04 PM Spencer Brackett
> <spbrackett20 using saintjosephhs.com> wrote:
> >
> > Good evening,
> >
> > I am attempting to anaylze the protein expression data contained within
> > these two ICGC, TCGA datasets (one for GBM and the other for LGG)
> >
> > *File for GBM  protein expression*:
> >
> https://dcc.icgc.org/search?filters=%7B%22donor%22:%7B%22projectId%22:%7B%22is%22:%5B%22GBM-US%22%5D%7D,%22availableDataTypes%22:%7B%22is%22:%5B%22pexp%22%5D%7D%7D%7D
> >
> > *File for LGG protein expression:*
> >
> >
> > *
> https://dcc.icgc.org/search?filters=%7B%22donor%22:%7B%22projectId%22:%7B%22is%22:%5B%22LGG-US%22%5D%7D,%22availableDataTypes%22:%7B%22is%22:%5B%22pexp%22%5D%7D%7D%7D
> > <
> https://dcc.icgc.org/search?filters=%7B%22donor%22:%7B%22projectId%22:%7B%22is%22:%5B%22LGG-US%22%5D%7D,%22availableDataTypes%22:%7B%22is%22:%5B%22pexp%22%5D%7D%7D%7D
> >*
> >
> >   When I tried to transfer the files from .txt (via Notepad) to .csv (via
> > Excel), the data appeared in the columns as unorganized and random
> > script... not like how a typical csv should be arranged at all. I need
> the
> > dataset to be converted into .csv in order to analyze it in R, which is
> why
> > I am hoping someone here might help me in doing that. If not, is there
> > perhaps some other way that I could analyze the datatsets on R, which
> again
> > is downloaded from the dataportal ICGC?
> >
> > Best,
> >
> > Spencer Brackett
> >
> >         [[alternative HTML version deleted]]
> >
> > ______________________________________________
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>

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