![]() ![]() ![]() This method usually works, in the sense that only a few dozen lines of R code are then required to cope with categories, missing values, time variables, and other features that are either lost or damaged in translation. A cleaner way is to save to SPSS Statistics Portable (POR) format from SPSS and open the result by using the read.spss() method from the foreign library. ![]() sav format typically opens the file in SPSS, saves it to comma-separated values (CSV) format, and opens the result in R by using the read.csv() method. The low level of interest is not surprising: SPSS users are, more often than not, people who use only SPSS for their data analysis and R users are accustomed to applying ugly hacks as part of doing business with R. It’s something of a well-kept secret, judging from the low level of activity in the R blogosphere on this point.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |