Definitely Smarter,
Thanks!

Tal

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On Thu, Apr 29, 2010 at 10:56 AM, Romain Francois <
romain.franc...@dbmail.com> wrote:

> Maybe this :
>
> > foo <- function( x ){
> +   idx <- 1 + cumsum( is.na( x ) )
> +   not.na <- ! is.na( x )
> +   split( x[not.na], idx[not.na] )
> + }
> > foo( x )
>
> $`1`
> [1] 2 1 2
>
> $`2`
> [1] 1 1 2
>
> $`3`
> [1] 4 5 2 3
>
> Romain
>
> Le 29/04/10 09:42, Tal Galili a écrit :
>
>
>> Hi all,
>>
>> I would like to have a function like this:
>> split.vec.by.NA<- function(x)
>>
>> That takes a vector like this:
>> x<- c(2,1,2,NA,1,1,2,NA,4,5,2,3)
>>
>> And returns a list of length of 3, each element of the list is the
>> relevant
>> segmented vector, like this:
>>
>> $`1`
>> [1] 2 1 2
>> $`2`
>> [1] 1 1 2
>> $`3`
>> [1] 4 5 2 3
>>
>>
>> I found how to do it with a loop, but wondered if there is some smarter
>> (vectorized) way of doing it.
>>
>>
>>
>> Here is the code I used:
>>
>> x<- c(2,1,2,NA,1,1,2,NA,4,5,2,3)
>>
>>
>> split.vec.by.NA<- function(x)
>> {
>> # assumes NA are seperating groups of numbers
>> #TODO: add code to check for it
>>
>> number.of.groups<- sum(is.na(x)) + 1
>> groups.end.point.locations<- c(which(is.na(x)), length(x)+1) # This will
>> be
>> all the places with NA's + a nubmer after the ending of the vector
>>  group.start<- 1
>> group.end<- NA
>> new.groups.split.id<- x # we will replace all the places of the group
>> with
>> group ID, excapt for the NA, which will later be replaced by 0
>>  for(i in seq_len(number.of.groups))
>> {
>> group.end<- groups.end.point.locations[i]-1
>>  new.groups.split.id[group.start:group.end]<- i
>>  group.start<- groups.end.point.locations[i]+1 # make the new group start
>> higher for the next loop (at the final loop it won't matter
>>  }
>>  new.groups.split.id[is.na(x)]<- 0
>>  return(split(x, new.groups.split.id)[-1])
>> }
>>
>> split.vec.by.NA(x)
>>
>>
>>
>>
>> Thanks,
>> Tal
>>
>
> --
> Romain Francois
> Professional R Enthusiast
> +33(0) 6 28 91 30 30
> http://romainfrancois.blog.free.fr
> |- http://bit.ly/9aKDM9 : embed images in Rd documents
> |- http://tr.im/OIXN : raster images and RImageJ
> |- http://tr.im/OcQe : Rcpp 0.7.7
>
>
>

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