Huh?? > ifelse(TRUE, a <- 2L, a <- 3L) [1] 2 > a [1] 2
Please clarify. -- Bert Bert Gunter Genentech Nonclinical Biostatistics (650) 467-7374 "Data is not information. Information is not knowledge. And knowledge is certainly not wisdom." Clifford Stoll On Mon, Jan 26, 2015 at 2:22 PM, Hervé Pagès <hpa...@fredhutch.org> wrote: > Hi Martin, > > On 01/26/2015 04:45 AM, Martin Maechler wrote: >>>>>>> >>>>>>> Jim Lemon <drjimle...@gmail.com> >>>>>>> on Mon, 26 Jan 2015 11:21:03 +1100 writes: >> >> >> > Hi Allen, How about this: >> >> > sum_w_NA<-function(x) ifelse(all(is.na(x)),NA,sum(x,na.rm=TRUE)) >> >> Excuse, Jim, but that's yet another "horrible misuse of ifelse()" >> >> John Fox's reply *did* contain the "proper" solution >> >> if (all(is.na(x))) NA else sum(x, na.rm=TRUE) >> >> The ifelse() function should never be used in such cases. >> Read more after googling >> >> "Do NOT use ifelse()" >> >> -- include the quotes in your search -- >> >> or directly at >> http://stat.ethz.ch/pipermail/r-help/2014-December/424367.html > > > Interesting. You could have added the following item to your list: > > 4. less likely to play strange tricks on you: > > > ifelse(TRUE, a <- 2L, a <- 3L) > [1] 2 > > a > [1] 3 > > Yeah I've seen people using ifelse() that way and being totally > confused... > > Cheers, > H. > >> >> Yes, this has been on R-help a month ago.. >> Martin >> >> > On Mon, Jan 26, 2015 at 10:21 AM, Allen Bingham >> > <aebingh...@gmail.com> wrote: >> >> I understand that in order to get the sum function to >> >> ignore missing values I need to supply the argument >> >> na.rm=TRUE. However, when summing numeric values in which >> >> ALL components are "NA" ... the result is 0.0 ... instead >> >> of (what I would get from SAS) of NA (or in the case of >> >> SAS "."). >> >> >> >> Accordingly, I've had to go to 'extreme' measures to get >> >> the sum function to result in NA if all arguments are >> >> missing (otherwise give me a sum of all non-NA elements). >> >> >> >> So for example here's a snippet of code that ALMOST does >> >> what I want: >> >> >> >> >> >> >> SumValue<-apply(subset(InputDataFrame,!is.na(Variable.1)|!is.na(Variable.2), >> >> select=c(Variable.1,Variable.2)),1,sum,na.rm=TRUE) >> >> >> >> In reality this does NOT give me records with NA for >> >> SumValue ... but it doesn't give me values for any >> >> records in which both Variable.1 and Variable.2 are NA >> >> --- which is "good enough" for my purposes. >> >> >> >> I'm guessing with a little more work I could come up with >> >> a way to adapt the code above so that I could get it to >> >> work like SAS's sum function ... >> >> >> >> ... but before I go that extra mile I thought I'd ask >> >> others if they know of functions in either base R ... or >> >> in a package that will better mimic the SAS sum function. >> >> >> >> Any suggestions? >> >> >> >> Thanks. ______________________________________ Allen >> >> Bingham aebingh...@gmail.com >> >> >> >> ______________________________________________ >> >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and >> >> more, see 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 -- To UNSUBSCRIBE and >> > more, see 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 -- To UNSUBSCRIBE and more, see >> 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. >> > > -- > Hervé Pagès > > Program in Computational Biology > Division of Public Health Sciences > Fred Hutchinson Cancer Research Center > 1100 Fairview Ave. N, M1-B514 > P.O. Box 19024 > Seattle, WA 98109-1024 > > E-mail: hpa...@fredhutch.org > Phone: (206) 667-5791 > Fax: (206) 667-1319 > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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 -- To UNSUBSCRIBE and more, see 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.
