R help - Jun 2010 - replication time series using permutations of the each "y" values

Dear All,

I'm trying to create this:
I've these data (a, b,c, etc. are numbers) :

1  a b
2  c d f
3  g
4  h
   ...
N

I'm trying to create the all "time series permutations" (length =
N)
taking account
the possibilities for each value. For example (N=4),

1  a
2  c
3  g
4  h

next,
1   b
2   c
3   g
4   h

next
1   a
2   d
3   g
4   h

and so on. For this example, there are 2*3 different (possibilities)
time series, but
I need to do, v. gr., N = 100, and 2^14  different (possibilities)
time series. I am wondering
if somebody could give me a hint (suggestion) to make this using a
function in R.

thank you so much

best regards

--
Josue Polanco

Read the posting guide please. What's your data structure? That's
quite important. As I see it, I can easily get a matrix with what you
want by :
x1 <- rep("a","b",each=3)
x2 <- rep("c","d","f",times=2)
x3 <- rep("g",6)
x4 <- rep("h",6)
result <- rbind(x1,x2,x3,x4)

But that's not what you want probably.
Cheers
Joris

2010/6/22 Josu? Polanco <jomopo at gmail.com>:
> Dear All,
>
> I'm trying to create this:
> I've these data (a, b,c, etc. are numbers) :
>
> 1 ?a b
> 2 ?c d f
> 3 ?g
> 4 ?h
> ? ...
> N
>
> I'm trying to create the all "time series permutations"
(length = N)
> taking account
> the possibilities for each value. For example (N=4),
>
> 1 ?a
> 2 ?c
> 3 ?g
> 4 ?h
>
> next,
> 1 ? b
> 2 ? c
> 3 ? g
> 4 ? h
>
> next
> 1 ? a
> 2 ? d
> 3 ? g
> 4 ? h
>
> and so on. For this example, there are 2*3 different (possibilities)
> time series, but
> I need to do, v. gr., N = 100, and 2^14 ?different (possibilities)
> time series. I am wondering
> if somebody could give me a hint (suggestion) to make this using a
> function in R.
>
> thank you so much
>
> best regards
>
> --
> Josue Polanco
>
> ______________________________________________
> R-help at r-project.org 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.
>


-- 
Joris Meys
Statistical consultant

Ghent University
Faculty of Bioscience Engineering
Department of Applied mathematics, biometrics and process control

tel : +32 9 264 59 87
Joris.Meys at Ugent.be
-------------------------------
Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php