Hi! This mail consists of two parts. The first part is a potential bug report, and the second more of a question, but both regards the combination of R and data from SPSS/PASW.
*First part:* I donÂ´t know if this is a Mac specific bug, and I didn't find any obvious reason for this behaviour in the read.spss-function - maybe it is one of those 0.0-version bugs in PASW, but here goes: I work with a dataset in SPSS format, and after installing PASW Statistics 18.0.0 for Mac, suddenly when I import the file by the following command: data <- read.spss(file="thefile.sav", to.data.frame=TRUE, use.value.labels= TRUE); I get this response: Warning message: In read.spss(file = "thefile.sav", to.data.frame = TRUE, : thefile.sav: Unrecognized record type 7, subtype 18 encountered in system file Most of the data seemed okay, I am not sure. Maybe the "subtype 18" is just a coincidence? or maybe version 18 files are not supported by the read.spss-function? But I tried saving the file as type SPSS 7.0 (in PASW 18), with the same response. The warning message went away when I went back to PASW 17.0.2, and saved the file from there before importing it (using the same command as above) in R. *Second part:* Is there a known incompatibility with scaled variables with labeled missing values when importing from SPSS/PASW? When I tried importing such variables, they were converted to "atomic" variables, and I weren't able to use them, so I had to delete the missing value labels before importing the data in R. Also - SPSS/PASW supports ranged missing values, but these doesnÂ´t seem to be recognized when importing data with the read.spss-function. Regards, Peter Holme -- Department of Political Science University of Oslo +47 920 42 782 [[alternative HTML version deleted]]
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