[R] Odp: Cumulative row sums, row differences

Petr PIKAL
2009-07-28T08:44:21Z

Hi

r-help-bounces at r-project.org napsal dne 28.07.2009 09:18:43:

>
>
> I tried searching but I couldn't quite find what I was looking for.
>
> Here's a dummy data matrix (with row and column labels):
> > y
>    0 1  2 3  4
> 21 3 4  8 5  5
> 22 3 6  8 6 NA
> 23 4 5 11 4  3
> 24 4 2  1 4  6
> 25 6 4  4 6  6
>
> I can get cumulative row sums as follows:
> > cy<-t(apply(y,1,cumsum))
> > cy
>    0  1  2  3  4
> 21 3  7 15 20 25
> 22 3  9 17 23 NA
> 23 4  9 20 24 27
> 24 4  6  7 11 17
> 25 6 10 14 20 26
>
> Which works, but this seems rather clumsy, especially the need for t().
>
> Is there a better way? One that still retains row and/or column labels?
> (that will also work for data frames, if possible - though of course one
can
> always as.data.frame() )
>
> Row differences present a different problem. Here's one way to get back
the
> original data:
>
> > cbind(cy[,1],cy[,-1]-cy[,-nrow(cy)])
>      1  2 3  4
> 21 3 4  8 5  5
> 22 3 6  8 6 NA
> 23 4 5 11 4  3
> 24 4 2  1 4  6
> 25 6 4  4 6  6
>
> However, if I use that I lose the first column label. Is there a way to
do
> something like this without
> losing that label? (again, if possible, that also works for data
frames?)

You can use apply approach with diff

cbind(vvv[,1, drop=F],t(apply(vvv,1, diff)))

or your construction

cbind(cy[,1, drop=F],cy[,-1]-cy[,-nrow(cy)])

Do not forget drop argument which prevents losing label!!!

Regards
Petr

And with data frames do not forget they need not have only numeric
columns, even if they look like numeric.


>
> thanks!
>
> Glen_B.
>
> --
> View this message in context:
http://www.nabble.com/Cumulative-row-sums%2C-
> row-differences-tp24692986p24692986.html
> Sent from the R help mailing list archive at Nabble.com.
>
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