G'day Utkarsh,
On Mon, 04 May 2009 11:51:21 +0530
utkarshsinghal <utkarsh.sing...@global-analytics.com> wrote:
> I have vector of length 52, say, x=sample(30,52,replace=T). I want to
> sort x and split into five *nearly equal groups*.
What do you mean by *nearly equal groups*? The size of the groups
should be nearly equal? The sum of the elements of the groups should be
nearly equal?
> Note that the observations are repeated in x so in case of a tie I
> want both the observations to fall in same group.
Then it becomes even more important to define what you mean with
"nearly equal groups".
As a start, you may consider:
R> set.seed(1)
R> x=sample(30,52,replace=T)
R> xrle <- rle(sort(x))
R> xrle
Run Length Encoding
lengths: int [1:25] 2 1 2 2 3 1 1 1 5 1 ...
values : int [1:25] 1 2 4 6 7 8 9 11 12 13 ...
R> cumsum(xrle$lengths)
[1] 2 3 5 7 10 11 12 13 18 19 24 25 26 28 29 32 35 38
[19] 43 45 46 48 49 51 52
and use this to determine our cut-offs. E.g., should the first group
have 10, 11 or 12 elements in this case? The information in xrle
should enable you to construct your five groups once you have decided
on a grouping.
HTH.
Cheers,
Berwin
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