Then save to a variable, and maybe then to a file?
Are you wanting it in long form? You can use reshape if so.
Note that a reproducible example and sample result always helps prompt more
specific answers.
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Sent from my phone. Please excuse my brevity.
"Farley, Robert" <farl...@metro.net> wrote:
>I have a dataframe from an On-Board Survey with weights ("expwgt") and
>variables for up to 8 used lines: VEH1 through VEH8. The lines are
>labeled "MT-..1" through "MT-902". I want to know how many transfers
>there are between MT-802 and MT-901. That is, when one of them is VEHx
>and the other is VEHx+1 or VEHx-1
>
>E.g. {VEH1 = MT-802 AND VEH2 = MT-901 } plus {VEH2 = MT-901 AND VEH3 =
>MT-802} plus all the other combinations....
>
>
>Someone suggested:
>
>colvf <- 81 # column of first VEH in indat
>colvl <- 88 # column of last VEH in indat
>tapply( rep( SubOre$expwgt, colvl-colvf ),
> list( as.matrix(SubOre[ ,colvf:(colvl-1)]),
> as.matrix(SubOre[ ,(colvf+1):colvl]) ), sum)
>
>but there are too many rows and columns to print.
>
>
>
>
>Robert Farley
>LACMTA
>1 Gateway Plaza
>Los Angeles, CA 90012-2952
>(213)922-2532
>farl...@metro.net
>
>
> [[alternative HTML version deleted]]
>
>______________________________________________
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>PLEASE do read the posting guide
>http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.
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