> -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] > On Behalf Of Marc Schwartz > Sent: Friday, August 24, 2012 12:06 PM > To: ramoss > Cc: r-help@r-project.org > Subject: Re: [R] if then in R versus SAS > > > On Aug 24, 2012, at 1:03 PM, ramoss <ramine.mossad...@finra.org> wrote: > > > I am new to R and I have the following SAS statements: > > > > if otype='M' and ocond='1' and entry='a.Prop' then MOC=1; > > else MOC=0; > > > > How would I translate that into R code? > > > > Thanks in advance > > > > See ?ifelse and ?Logic, both of which are covered in "An Introduction to > R" (http://cran.r-project.org/manuals.html). > > MOC <- ifelse((otype == 'M') & (ocond == '1') & (entry == 'a.Prop'), 1, > 0) > > > You might also want to think about getting a copy of: > > R for SAS and SPSS Users > Robert Muenchen > http://www.amazon.com/SAS-SPSS-Users-Statistics-Computing/dp/0387094172 > > Regards, > > Marc Schwartz >
I would second Mark's recommendation to carefully work through "An Introduction to R" and to get Robert Muenchen's book. If the variables otype, ocond, and entry are scalar values, then the translation from SAS to R is very straight-forward: if(otype=='M' && ocond=='1' && entry=='a.Prop') MOC <- 1 else MOC <- 0 Hope this is helpful, Dan Daniel Nordlund Bothell, WA USA ______________________________________________ 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.
