Also, if you want to make claims about relative perform and get feedback from people, you need to post your datafile online or use another benchmark that others can replicate. Character vectors will be stored as strL if any components are strlthreshold bytes or. However, I suspect that part of the difference has to do with the way you are storing the data in Stata, based on the much larger size of the resulting. See labelled() for how labelled variables in Stata are handled in R. In more recent versions, however, the R package lfe no longer works properly and has been removed from the CRAN repository on December 4th, 2020. To begin with SAS is in its version 9+ and has also enhanced its visual appeal greatly. A previous version of this blog was written on September 11th, 2019 using R version 3.6.
#Stata vs r software#
Both SPSS and SAS have been around in the world of statistical analysis for several years now, so, the conundrum of which is better software for statistical analysis is an age-old question among data people. I hesitate to comment here, because I think this very limited comparison is not very informative. The Right Tool For Statistical Analysis SAS Vs.
> I found the results presented in the post below quite intriguing, any thought?
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