[R] Using write.csv as a connection for read.csv

Bert Gunter bgunter@4567 @end|ng |rom gm@||@com
Mon Jul 9 17:40:55 CEST 2018


Can you not anonymize column names, add random noise to some of the
columns, etc. ?

-- Bert



Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )

On Mon, Jul 9, 2018 at 8:17 AM, Kevin Thorpe <kevin.thorpe using utoronto.ca>
wrote:

> Although your suggestion to provide the data is excellent and one I
> typically agree with, they data are currently unpublished and so should not
> be publicly available. I have tried to make a reproducible example in the
> past (when similar looking things happened), but was unable to. Maybe I'll
> try a small subset and see if that works.
>
>
> Kevin
>
>
> --
> Kevin E. Thorpe
> Head of Biostatistics,  Applied Health Research Centre (AHRC)
> Li Ka Shing Knowledge Institute of St. Michael's
> Assistant Professor, Dalla Lana School of Public Health
> University of Toronto
> email: kevin.thorpe using utoronto.ca  Tel: 416.864.5776  Fax: 416.864.3016
>
> ________________________________
> From: Eric Berger <ericjberger using gmail.com>
> Sent: Monday, July 9, 2018 10:51:38 AM
> To: Kevin Thorpe
> Cc: R Help Mailing List
> Subject: Re: [R] Using write.csv as a connection for read.csv
>
> Hi Kevin,
> It's good that you provided the background to the problem.
> Rather than asking this list to "debug" your proposed solution, I think
> you would be better off showing some of the "corrupted" data frame and ask
> for suggestions how to deal with it.
> (Suggestions may or may not match your initial attempt.)
> Can you output a piece of your suspect data frame via the dput() function
> and post to the list?
>
> Best,
> Eric
>
>
> On Mon, Jul 9, 2018 at 5:42 PM, Kevin Thorpe <kevin.thorpe using utoronto.ca<
> mailto:kevin.thorpe using utoronto.ca>> wrote:
> Hi.
>
> I have some data frames I created previously that seem to not be working
> correctly anymore. I *think* the problem is that some of the variables in
> the data frame are of a type called labelled. There are other attributes in
> the data frame as well. I thought that the easiest way to fix this was to
> convert to, say a csv and re-load.
>
> I tried something like read.csv(write.csv(df,row.names=FALSE)) but got
> the error
>
>   Error in read.table(file = file, header = header, sep = sep, quote =
> quote,  :
>   'file' must be a character string or connection
>
> I guess there must be a way to send the output of write.csv to a
> connection that read.csv can use but I was mystified by the help page on
> connections, at least I could not determine how to achieve my desired
> result.
>
> I realize I could write to a file and read it back in, but that feels
> klunky somehow. Maybe my approach to convert my data to strip the "weird"
> stuff is wrong-headed and I would accept alternative strategies.
>
> I would like a more general solution to fix this because I expect to
> encounter it some more. For those wondering how I found myself in such a
> mess, the data frames were initially imported from SAS data sets through
> the haven package. I then did some standard manipulation and added some
> additional labels with the upData() function from Hmisc (both packages have
> been updated since initial creation of the data frames).
>
> Thanks,
>
> Kevin
>
> --
>  Kevin E. Thorpe
>  Head of Biostatistics,  Applied Health Research Centre (AHRC)
>  Li Ka Shing Knowledge Institute of St. Michael's
>  Assistant Professor, Dalla Lana School of Public Health
>  University of Toronto
>  email: kevin.thorpe using utoronto.ca<mailto:kevin.thorpe using utoronto.ca>  Tel:
> 416.864.5776  Fax: 416.864.3016
>
>
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