Hi:

This problem came up the other day - see

http://stats.stackexchange.com/questions/7884/fast-ways-in-r-to-get-the-first-row-of-a-data-frame-grouped-by-an-identifier/7985#7985

Dennis

On Sat, Mar 12, 2011 at 3:20 AM, Vincy Pyne <vincy_p...@yahoo.ca> wrote:

> Dear R helpers
>
> Suppose I have a data frame as given below
>
> mydat = data.frame(x = c(1,1,1, 2, 2, 2, 2, 2, 5, 5, 6), y = c(10, 10, 10,
> 8, 8, 8, 7, 7, 2, 2, 4))
>
>
> mydat
>         x     y
> 1      1     10
> 2      1     10
> 3      1     10
> 4      2       8
> 5      2       8
> 6      2       8
> 7      2       7
> 8      2       7
> 9      5       2
> 10    5       2
> 11    6       4
>
> unique(mydat$x) will give me 1, 2, 5, 6  i.e. 4 values and
> unique(mydat$y) will give me 10, 8, 7, 2, 4.
>
> What I need is a data frame where I will get a vector (say) x_new as (1, 2,
> 2, 5, 6) and corresponding y_new as (10, 8, 7, 2, 4). I need to use these
> two vectors viz. x_new and y_new seperately for further processing. They may
> be under same data frame say mydat_new but I should be able to access them
> as mydat_new$x_new and similarly for y.
>
> I tried following way.
>
> pp = paste(mydat$x, mydat$y)
>
> pp = > pp
>  [1] "1 10" "1 10" "1 10" "2 8"  "2 8"  "2 8"  "2 7"  "2 7"  "5 2"  "5 2"
> "6 4"
>
> qq = unique(pp)
>
> > qq
> [1] "1 10" "2 8"  "2 7"  "5 2"  "6 4"
>
> So I get the desired pairs, but I want each element of pair in two columns
> seperately as
>
> x_new     y_new
>
> 1            10
> 2              8
> 2              7
> 5              2
> 6              4
>
> Kindly guide
>
> Vincy
>
>
>
>
>        [[alternative HTML version deleted]]
>
>
> ______________________________________________
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> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
>

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