[R] Running sum
Philippe Grosjean
phgrosjean at sciviews.org
Sat Nov 20 11:02:03 CET 2004
Ooops! Sorry. I did not look carefully enough on the code and focused on the
term! My proposition is for a "running sum with a window width of 2
observations" (the title of the question is "Running sum", isn't it?), while
the true question was indeed about a *cumulative sum*, which is something
totally different.
Best,
Philippe Grosjean
> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of
> Philippe Grosjean
> Sent: Friday, November 19, 2004 9:11 PM
> To: MSchwartz at MedAnalytics.com; 'Sean Davis'
> Cc: 'R-Help'
> Subject: RE: [R] Running sum
>
> ?cumsum is not exactly the answer (as I understand it), but a
> part of it.
> I propose:
>
> runSum2 <- function(x)
> cumsum(x)[-1] - c(0, cumsum(x[1:(length(x) - 2)]))
>
> # Example
> a <- round(runif(10, 0, 10))
> a
> runSum2(a)
> max(runSum2(a)) # To get only the max
>
> Best,
>
> Philippe
>
> ..............................................<°}))><........
> ) ) ) ) )
> ( ( ( ( ( Prof. Philippe Grosjean
> ) ) ) ) )
> ( ( ( ( ( Numerical Ecology of Aquatic Systems
> ) ) ) ) ) Mons-Hainaut University, Pentagone
> ( ( ( ( ( Academie Universitaire Wallonie-Bruxelles
> ) ) ) ) ) 6, av du Champ de Mars, 7000 Mons, Belgium
> ( ( ( ( (
> ) ) ) ) ) phone: + 32.65.37.34.97, fax: + 32.65.37.33.12
> ( ( ( ( ( email: Philippe.Grosjean at umh.ac.be
> ) ) ) ) )
> ( ( ( ( ( web: http://www.umh.ac.be/~econum
> ) ) ) ) )
> ..............................................................
>
>
>
> > -----Original Message-----
> > From: r-help-bounces at stat.math.ethz.ch
> > [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Marc Schwartz
> > Sent: Friday, November 19, 2004 7:57 PM
> > To: Sean Davis
> > Cc: R-Help
> > Subject: Re: [R] Running sum
> >
> > On Fri, 2004-11-19 at 13:08 -0500, Sean Davis wrote:
> > > I have vector X of length N that I want to have a running sum for
> > > (called Y). I just need max(Y). I do this with a "for"
> > loop like so:
> > >
> > > Y <- vector(length=N)
> > > Y[1] <- X[1]
> > > for (i in 2:N) {
> > > Y[i] <- Y[i-1]+X[i]
> > > }
> > > return(max(Y))
> > >
> > > Is there a faster way to do this?
> > >
> > > Thanks,
> > > Sean
> >
> >
> > Something like:
> >
> > > cumsum(1:10)
> > [1] 1 3 6 10 15 21 28 36 45 55
> >
> > > max(cumsum(1:10))
> > [1] 55
> >
> > Does that help?
> >
> > Marc Schwartz
> >
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> >
> >
>
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