I needed that matrix for following calculations. So I don't think roll* would
work for me.
Re: embed
> x <- 1:10
> embed (x, 3)
[,1] [,2] [,3]
[1,] 3 2 1
[2,] 4 3 2
[3,] 5 4 3
[4,] 6 5 4
[5,] 7 6 5
[6,] 8 7 6
[7,] 9 8 7
[8,] 10 9 8
> x
[1] 1 2 3 4 5 6 7 8 9 10
The matrix is in revered order. Anyway to put the matrix in the original order?
Ie
1 2 3
2 3 4
...
Cheers,
Bo
> Date: Sun, 2 Mar 2008 09:40:09 -0500
> From: [EMAIL PROTECTED]
> To: [EMAIL PROTECTED]
> Subject: Re: [R] Idioms for a timeseries operation - moving window
> CC: [email protected]
>
> See
>
> ?embed
>
> and from zoo see:
> ?rollapply
> ?rollmean
> ?rollmax
>
> There is a function coded in C in the caTools package for speed.
>
>
> On Sun, Mar 2, 2008 at 9:24 AM, Bo Zhou <[EMAIL PROTECTED]> wrote:
> >
> > Hi Guys,
> >
> > Need your wisdom on this.
> >
> > Say I have a time series (in zoo format) like this
> >
> >
> > > x <- zoo(11:21)
> > > x
> > 1 2 3 4 5 6 7 8 9 10 11
> > 11 12 13 14 15 16 17 18 19 20 21
> >
> >
> > I want to do a "moving window sampling" of it. The result can either be a
> > matrix or a dataframe like this
> >
> > my.super.moving.window(x, length=3, by=1)
> >
> > 11 12 13
> > 12 13 14
> > 13 14 15
> > 14 15 16
> > ....
> > 18 19 20
> > 19 20 21
> >
> > This shouldn't be new. Many many people must have done this before. Any
> > idea what's the best(efficient and elegant) way to do this?
> >
> > Cheers,
> >
> > Bo
> >
> >
> >
> >
> > _________________________________________________________________
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> > power.
> >
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> >
> >
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> >
> >
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