[R] Using write.csv as a connection for read.csv
William Poling, Ph.D., MPH
po||ngwh @end|ng |rom y@hoo@com
Mon Jul 9 16:50:57 CEST 2018
write_csv(yourfile, path = "yourfile.csv")
yourfile <- read.csv("yourfile.csv")
On Monday, July 9, 2018, 10:42:24 AM EDT, Kevin Thorpe <kevin.thorpe using utoronto.ca> wrote:
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).
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
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