>>The down side to R's factor solution: >>The numerical values of factors are always 1 to number of levels. Thus, it
>>can be tough and requires great care to work with studies that have both >>numerical values different from this and value labels. This situation is >>currently not well-supported by R. >> >>Regards, Ulrike >> >>P.S.: I fully agree with Frank regarding the annoyance one sometimes >>encounters with formats in SAS! > You can add an attribute to a variable. In the sas.get function in the > Hmisc package for example, when importing SAS variables that have PROC > FORMAT value labels, an attribute 'sas.codes' keeps the original codes; > these can be retrieved using sas.codes(variable name). This could be > done outside the SAS import context also. > > Frank > -- > Frank E Harrell Jr Professor and Chair School of Medicine > Department of Biostatistics Vanderbilt University Frank, are these attributes preserved when merging or subsetting a data frame? Are they used in R packages other than Hmisc and Design (e.g. in a simple table request)? If this is the case, my wishlist items 8658 and 8659 (http://bugs.r-project.org/cgi-bin/R/wishlist?id=8658;user=guest, http://bugs.r-project.org/cgi-bin/R/wishlist?id=8659;user=guest) can be closed. Otherwise, I maintain the opinion that there are workarounds but that R is not satisfactorily able to handle this type of data. Regards, Ulrike ------- End of Original Message ------- [[alternative HTML version deleted]]
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