From: Charles C. Berry <cberry_at_tajo.ucsd.edu>

Date: Fri 19 Jan 2007 - 18:36:33 GMT

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. Received on Sat Jan 20 06:00:10 2007

Date: Fri 19 Jan 2007 - 18:36:33 GMT

Ben,

transform() is probably the wrong tool if what you want is to

'apply a function'

to the corresponding elements of time1, time2, ... , and return a vector of results.

If this is what you are after, the 'apply' family of functions is what you want.

See

?apply

and

?mapply

and the 'See Also's on each page.

Chuck Berry

On Fri, 19 Jan 2007, Ben Fairbank wrote:

> Greetings listeRs -

*>
**>
**>
**> Given a data frame such as
**>
**>
**>
**> times
**>
**> time1 time2 time3 time4
**>
**> 1 70.408543 48.92378 7.399605 95.93050
**>
**> 2 17.231940 27.48530 82.962916 10.20619
**>
**> 3 20.279220 10.33575 66.209290 30.71846
**>
**> 4 NA 53.31993 12.398237 35.65782
**>
**> 5 9.295965 NA 48.929201 NA
**>
**> 6 63.966518 42.16304 1.777342 NA
**>
**>
**>
**> one can use "transform" to total all or some columns, thus,
**>
**>
**>
**> times2 <- transform(times,totaltime=time1+time2+time3+time4)
**>
**>
**>
**>> times2
**>
**> time1 time2 time3 time4 totaltime
**>
**> 1 70.408543 48.92378 7.399605 95.93050 222.6624
**>
**> 2 17.231940 27.48530 82.962916 10.20619 137.8863
**>
**> 3 20.279220 10.33575 66.209290 30.71846 127.5427
**>
**> 4 NA 53.31993 12.398237 35.65782 NA
**>
**> 5 9.295965 NA 48.929201 NA NA
**>
**> 6 63.966518 42.16304 1.777342 NA NA
**>
**>
**>
**> I cannot, however, find a way, other than "for" looping,
**>
**> to use statistical functions, such as mean or sd, to
**>
**> compute the new column. For example,
**>
**>
**>
**>>
**> times2<-transform(times,meantime=(mean(c(time1,time2,time3,time4),na.rm=
**> TRUE)))
**>
**>
**>
**>> times2
**>
**>
**>
**> time1 time2 time3 time4 meantime
**>
**> 1 70.408543 48.92378 7.399605 95.93050 45.54178
**>
**> 2 17.231940 27.48530 82.962916 10.20619 45.54178
**>
**> 3 20.279220 10.33575 66.209290 30.71846 45.54178
**>
**> 4 NA 53.31993 12.398237 35.65782 45.54178
**>
**> 5 9.295965 NA 48.929201 NA 45.54178
**>
**> 6 63.966518 42.16304 1.777342 NA 45.54178
**>
**>
**>
**> How can this be done? And, generally, what is the recommended method
**>
**> for creating computed new columns in data frames when "for" loops take
**>
**> too long?
**>
**>
**>
**> With thanks for any suggestions,
**>
**>
**>
**> Ben Fairbank
**>
**>
**>
**> Using version 2.4.1 on a Windows XP professional operating system.
**>
**>
**>
**>
**> [[alternative HTML version deleted]]
**>
**> ______________________________________________
**> R-help@stat.math.ethz.ch 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.
**>
*

Charles C. Berry (858) 534-2098 Dept of Family/Preventive Medicine E mailto:cberry@tajo.ucsd.edu UC San Diego http://biostat.ucsd.edu/~cberry/ La Jolla, San Diego 92093-0901 ______________________________________________R-help@stat.math.ethz.ch 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. Received on Sat Jan 20 06:00:10 2007

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