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Re: st: Appearance of Matrix row and column labels.


From   "Daniel Schultz" <schultzd@tcd.ie>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Appearance of Matrix row and column labels.
Date   Wed, 19 Nov 2008 10:58:02 +0000

Maybe I just don't get it.
I know now that the names are saved into e(Row) but where to put it:

mat `var' == (e(Prop)\e(total))

gives me the wanted  proportions but with the described rownmaes.

mat rown `var' = e(Row)

is not working.
So where to put the e(Row) to set the rownames. Sorry for the stupid
question, I am not so familiar with setting up the matrices.

Best
Daniel

2008/11/18 Sergiy Radyakin <serjradyakin@gmail.com>:
> Hello Daniel,
>
> -svy: tab- saves row names into e(Row). Use these values to name
> (programmatically) your rows in e(Prop).
> Beware of the decimal point: Stata does not allow decimal points in
> rownames, better replace it with something else.
>
> Best regards,
>  Sergiy Radyakin
>
>
>
>
>
> On Mon, Nov 17, 2008 at 6:38 PM, Daniel Schultz <schultzd@tcd.ie> wrote:
>> Hej Stata-users....
>>
>> maybe this is a trivial problem, but I worked for several days on the
>> solution and couldn't find one.
>>
>> So here is the description of the problem:
>>
>> My purpose is to extract a matrix out of the svy: tab command. So my
>> do-file (partly) looks like this:
>>
>> svy: tab `var'
>> mat `var' = e(Prob)
>>
>> If I now list the matrix with the
>>
>> mat list `var'
>>
>> command, all my rows are named y1 and all my columns are named p11.
>> Obviously I would like to get the characteristic names as rows. Since
>> this is part of a loop I can't do it manually with mat rown = a b c.
>> Here an example how it looks like at the moment:
>>
>> Q0001_02
>>
>>       p11
>> y1    .578
>> y1    .321
>> y1    .111
>>
>> Do you have an idea how I can get rid of the y1 and put in the characteristics?
>>
>> Since I do this for around 1800 variables via a loop, I can't do this
>> every time by hand.
>> has anybody an idea. This problem also occurs if I want to add the
>> number of observations with
>>
>> mat `var' = (e(Prob)/e(N))
>>
>> This would be the next step to do.
>>
>> Best Daniel
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