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.tho...@utoronto.ca Tel: 416.864.5776 Fax: 416.864.3016
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