Dear Martin,
I did some changes on var names and forgot to drop the counts var (you had drop c*) and focused on this var while failing to focus on the outcome var.
Fantastic all around!
Thank you,
Nick
--- On Mon, 12/28/09, Martin Weiss <[email protected]> wrote:
> From: Martin Weiss <[email protected]>
> Subject: Re: st: Ungroup grouped data
> To: [email protected]
> Date: Monday, December 28, 2009, 6:15 PM
> <>
>
> Not sure what you mean. You can omit the -label- stuff if
> you want to see "0" and "1" for presence or absence of the
> outcome :-)
>
>
> HTH
> Martin
> -------- Original-Nachricht --------
> > Datum: Mon, 28 Dec 2009 08:08:26 -0800 (PST)
> > Von: Nikolaos Pandis <[email protected]>
> > An: [email protected]
> > Betreff: Re: st: Ungroup grouped data
>
> > Dear Martin,
> >
> > Many thanks, this was great!
> >
> > The counts variable shows the original count for every
> row of covariate
> > (var1 and var2) pattern. How could I change this to
> show only 0 or 1
> > depending on absence or presence of the outcome?
> >
> > For example for covariate pattern 00 we have 7 cases
> from which we have 4
> > individuals with the outcome and 3 without. I would
> like each row to show 0
> > or 1, in other words for the covariate pattern 00
> there should be 4 rows
> > of 1 and 3 of zero value instead of having the value 4
> for all rows for this
> > covariate pattern.
> > I hope I am clear.
> > Again, many thanks and happy New year.
> > Nick
> >
> > --- On Mon, 12/28/09, Martin Weiss <[email protected]>
> wrote:
> >
> > > From: Martin Weiss <[email protected]>
> > > Subject: Re: st: Ungroup grouped data
> > > To: [email protected]
> > > Date: Monday, December 28, 2009, 5:49 PM
> > > <>
> > >
> > > Here is a reasonably short solution for you! Have
> a happy
> > > new year :-)
> > >
> > > ***
> > > clear*
> > >
> > > inp byte(counts cases var1 var2)
> > > 1 1 0
> > > 2
> > > 2 2 1
> > > 2
> > > 4 7 0
> > > 0
> > > 4 12
> > > 1 1
> > > 1 3 2
> > > 2
> > > 2 7 1
> > > 0
> > > 0 2 2
> > > 0
> > > 0 13
> > > 2 1
> > > end
> > >
> > > //to 47 cases
> > > expand cases
> > >
> > > //outcome must be assigned separately
> > > bys var*: gen byte outcome=inrange(_n,1,counts)
> > > la def mylabel 0 "outcome not observed" 1
> "outcome
> > > observed"
> > > la val outcome mylabel
> > >
> > > //get rid of "counts" and "cases"
> > > drop c*
> > >
> > > li, noo sepby(var*)
> > >
> > > ***
> > >
> > >
> > > HTH
> > > Martin
> > > -------- Original-Nachricht --------
> > > > Datum: Mon, 28 Dec 2009 07:37:57 -0800
> (PST)
> > > > Von: Nikolaos Pandis <[email protected]>
> > > > An: [email protected]
> > > > CC: [email protected]
> > > > Betreff: st: Ungroup grouped data
> > >
> > > > Hi to all,
> > > >
> > > > I have the dataset below which I would like
> to expand
> > > and list each
> > > > observation in one row.
> > > >
> > > > The counts variable shows the number of
> individuals
> > > with the outcome.
> > > > The cases variable shows the number of
> individuals
> > > that share the
> > > > covariate pattern for the variables var1 and
> var2.
> > > > The sum of cases (47) shows the total number
> of
> > > exposed individuals and
> > > > the sum of counts (14) shows the total
> number of
> > > individuals,from the
> > > > exposed, with the outcome.
> > > >
> > > > The fully expanded dataset should list 47
> observations
> > > (=sum of cases).
> > > >
> > > > counts cases
> > > var1 var2
> > > > 1 1
> > > 0 2
> > > > 2 2
> > > 1 2
> > > > 4 7
> > > 0 0
> > > > 4 12
> > > 1 1
> > > > 1 3
> > > 2 2
> > > > 2 7
> > > 1 0
> > > > 0 2
> > > 2 0
> > > > 0 13
> > > 2 1
> > > >
> > > > Your help would be appreciated.
> > > >
> > > > Best wishes,
> > > >
> > > > Nick
> > > >
> > > >
> > > >
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