I don't use Access but my general impression is that the advantages it brings will be similar to those brought by any other database: performance rather than ability -- they are both Turing complete after all, after some trickery on the SQL end.
Databases allow much larger data sets than R currently does and often allow faster queries -- some would argue the SQL syntax is clearer for some subsetting operations, but that's perhaps a function of familiarity. For the task you describe, it should be elementary in both platforms and I'd just use whichever one the data was already in. For more substantive data analysis, you almost certainly want to use R. Others with Access experience (or more SQL) can add more. Michael On Tue, Feb 28, 2012 at 6:06 PM, Trying To learn again <tryingtolearnag...@gmail.com> wrote: > Hi all, > > I´m new using Access. I see that many things that you can do on Access you > can do on CRAN R but not on contrary. > > My question is: Is there any manual with examples comparing how to do data > base analysis on access and making the same on CRAN R? > > Imagine I want to compare two columns "Name" of two different data bases. I > want to see if there are "identical" names on both files. > > It is better to use Access? Or it is better to use cran r (importing data > and work on CRAN R)? > > This is only an example. > > I know CRAN R is more specialized on statistics and data analysis but I ´m > trying not to learn Access and SQL so on. > > I cannot explain better I hope you comprehed me. > > [[alternative HTML version deleted]] > > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
