Try this:

reshape(rat_dat, direction = 'wide', idvar = 'period', timevar = 'name')


On Fri, Apr 8, 2011 at 4:44 AM, Sandeepa Ramakrishnan <
sandeepa_ramakrish...@yahoo.com> wrote:

>        Dear R helpers,
>
> Thanks a lot for your kind help. The xtab function suggested by Mr.
> Henrique Dallazuanna produces following output for me
>
>
> > xtabs(values ~ name + period + cy_date, rat_dat)
> , , cy_date = 31-May-11
>
>     period
> name 29-Mar-11 30-Mar-11 31-Mar-11
>    A     10.37     10.46     10.42
>    B     12.61     12.65     12.62
>    C     14.08     14.12     14.10
>    D     11.17     11.15     11.11
>
> #
> ---------------------------------------------------------------------------------------------
>
> I am extremely sorry for framing my question in a wrong way and the output
> I wanted got scattered in my first mail. I am reframing my query as under.
>
> I have a data.frame
>
> rat_dat = data.frame(name = c("A", "A", "A", "B", "B", "B", "C", "C", "C",
> "D", "D", "D"),
>                               period = c("31-Mar-11", "30-Mar-11",
> "29-Mar-11", "31-Mar-11", "30-Mar-11", "29-Mar-11",  "31-Mar-11",
> "30-Mar-11", "29-Mar-11", "31-Mar-11", "30-Mar-11", "29-Mar-11"),
> values = c(10.42, 10.46, 10.37, 12.62, 12.65, 12.61, 14.10, 14.12, 14.08,
> 11.11, 11.15, 11.17))
>
> > rat_dat
>    name    period          values
> 1     A      31-Mar-11    10.42
> 2     A      30-Mar-11    10.46
> 3     A      29-Mar-11    10.37
> 4     B      31-Mar-11    12.62
> 5     B      30-Mar-11    12.65
> 6     B      29-Mar-11    12.61
> 7     C      31-Mar-11    14.10
> 8     C      30-Mar-11    14.12
> 9     C      29-Mar-11    14.08
> 10    D     31-Mar-11    11.11
> 11    D     30-Mar-11    11.15
> 12    D     29-Mar-11    11.17
>
>
> I need to rearrange this data as new new data.frame
>
> rat_dat_new as
>
> period            A           B           C           D
> 31-Mar-11   10.42     12.62       14.10    11.11
> 30-Mar-11   10.46     12.65       14.12    11.15
> 29-Mar-11   10.37     12.61       14.08    11.17
>
> I once again apologize for mistake on my part.
>
> I tried to the solution suggested by Mr. Henrique Dallazuanna, however I
> was not able to read the output as a data.frame.
>
> Kindly guide
>
>
>
>
>
>
>
>
>
>
>
>
>
> --- On *Thu, 7/4/11, Henrique Dallazuanna <www...@gmail.com>* wrote:
>
>
> From: Henrique Dallazuanna <www...@gmail.com>
> Subject: Re: [R] Regrouping data
> To: "Sandeepa Ramakrishnan" <sandeepa_ramakrish...@yahoo.com>
> Cc: r-help@r-project.org
> Date: Thursday, 7 April, 2011, 6:05 PM
>
>
> Try this:
>
> 1)
> xtabs(values ~ name + period + cy_date, rat_dat)
>
>
> 2)
> as.Date(rat_dat$cy_date, '%d-%b-%y') - as.Date(rat_dat$period, '%d-%b-%y')
>
> On Thu, Apr 7, 2011 at 9:03 AM, Sandeepa Ramakrishnan
> <sandeepa_ramakrish...@yahoo.com> wrote:
> >
> >
> >
> >
> >
> >
> >
> >
> >
> > Dear R forum
> >
> > I have just started my venture with R. While I am trying to learn R
> through the tutorials, I think the current problem I need to address to is
> beyond my knowledge about R.
> >
> > I have a dataframe as defined below -
> >
> >
> > rat_dat = data.frame(name = c("A", "A", "A", "B", "B", "B", "C", "C",
> "C", "D", "D", "D"),
> >                               period = c("31-Mar-11", "30-Mar-11",
> "29-Mar-11", "31-Mar-11", "30-Mar-11", "29-Mar-11",  "31-Mar-11",
> "30-Mar-11", "29-Mar-11", "31-Mar-11", "30-Mar-11", "29-Mar-11"),
> > cy_date = c("31-May-11","31-May-11", "31-May-11", "31-May-11",
> "31-May-11", "31-May-11", "31-May-11", "31-May-11", "31-May-11",
> "31-May-11", "31-May-11", "31-May-11"),
> > values = c(10.42, 10.46, 10.37, 12.62, 12.65, 12.61, 14.10, 14.12, 14.08,
> 11.11, 11.15, 11.17))
> >
> >
> >> rat_dat
> >    name    period   cy_date values
> > 1     A 31-Mar-11 31-May-11  10.42
> > 2     A 30-Mar-11 31-May-11  10.46
> > 3     A 29-Mar-11 31-May-11  10.37
> > 4     B 31-Mar-11 31-May-11  12.62
> > 5     B 30-Mar-11 31-May-11  12.65
> > 6     B 29-Mar-11 31-May-11  12.61
> > 7     C 31-Mar-11 31-May-11  14.10
> > 8     C 30-Mar-11 31-May-11  14.12
> > 9     C 29-Mar-11 31-May-11  14.08
> > 10    D 31-Mar-11 31-May-11  11.11
> > 11    D 30-Mar-11 31-May-11  11.15
> > 12    D 29-Mar-11 31-May-11  11.17
> >
> > My actual data is too large. I need to
> >
> > (1) rearrange this input as
> >
> >
> >
> >
> >
> >
> >
> >
> >
> > period
> >   cy_date
> >           A
> >       B
> >     C
> >     D
> >
> > 31-Mar-11
> >  31-May-11
> > 10.42
> >   12.62
> > 14.10
> > 11.11
> >
> > 30-Mar-11
> >  31-May-11
> > 10.46
> >   12.65
> > 14.12
> > 11.15
> >
> > 29-Mar-11
> >  31-May-11
> > 10.37
> >   12.61
> > 14.08
> > 11.17
> >
> > (2) Also, I need to find the difference between (rat_dat$cy_date) -
> (rat_dat$period)
> >
> > I hope I am able to put forward my requirement properly. If not, please
> forgive me.
> >
> > Sandeepa
> >
> >        [[alternative HTML version deleted]]
> >
> >
> > ______________________________________________
> > R-help@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<http://www.r-project.org/posting-guide.html>
> > and provide commented, minimal, self-contained, reproducible code.
> >
> >
>
>
>
> --
> Henrique Dallazuanna
> Curitiba-Paraná-Brasil
> 25° 25' 40" S 49° 16' 22" O
>
>


-- 
Henrique Dallazuanna
Curitiba-Paraná-Brasil
25° 25' 40" S 49° 16' 22" O

        [[alternative HTML version deleted]]

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