Re: st: RE: RE: parmby if=exp for strings

[Roger Newson <roger.newson@kcl.ac.uk>]

At 19:22 14/07/2004, Douglas wrote:
> Thanks Nick, I have read but little understood the quotation nesting
> guidelines.
>
> I tried your suggestion, but when I surround the double quotes with `' the
> command is not executed.  And when I tried the same on the quotes for the
> two string variables (e.g. inlist(var3, `"string1"', `"string2"')) it said
> "too few quotes").
Compound quotes are allowed to surround pairs of simple quotes, but simple 
quotes are not allowed to surround pairs of compound quotes. The example 
below demonstrates this in the -auto- data.

I hope this helps.

Roger

. sysuse auto, clear
(1978 Automobile Data)

. parmby `"regress mpg weight if index(make,"A")==0, robust"', list(,)
Command: regress mpg weight if index(make,"A")==0, robust

Regression with robust standard errors                 Number of obs =      67
                                                       F(  1,    65) =  103.19
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.6890
                                                       Root MSE      =  3.3485

------------------------------------------------------------------------------
             |               Robust
         mpg |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      weight |  -.0061874   .0006091   -10.16   0.000    -.0074038   -.0049709
       _cons |   40.07409   2.099547    19.09   0.000     35.88101    44.26718
------------------------------------------------------------------------------

Listing of results:

     +---------------------------------------------------------------------------------------------------+
     | 
parmseq     parm     estimate      stderr   dof            t           p 
   min95        max95 |
     |---------------------------------------------------------------------------------------------------|
  1. 
|       1   weight   -.00618736   .00060909    65   -10.158359   4.752e-15 
 -.0074038   -.00497092 |
  2. 
|       2    _cons    40.074091   2.0995471    65    19.087016   2.414e-28 
 35.881005    44.267176 |
     +---------------------------------------------------------------------------------------------------+

. parmby `"regress mpg weight if index(make,`"A"')==0, robust"', list(,)
Command: regress mpg weight if index(make,`"A"')==0, robust

Regression with robust standard errors                 Number of obs =      67
                                                       F(  1,    65) =  103.19
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.6890
                                                       Root MSE      =  3.3485

------------------------------------------------------------------------------
             |               Robust
         mpg |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      weight |  -.0061874   .0006091   -10.16   0.000    -.0074038   -.0049709
       _cons |   40.07409   2.099547    19.09   0.000     35.88101    44.26718
------------------------------------------------------------------------------

Listing of results:

     +---------------------------------------------------------------------------------------------------+
     | 
parmseq     parm     estimate      stderr   dof            t           p 
   min95        max95 |
     |---------------------------------------------------------------------------------------------------|
  1. 
|       1   weight   -.00618736   .00060909    65   -10.158359   4.752e-15 
 -.0074038   -.00497092 |
  2. 
|       2    _cons    40.074091   2.0995471    65    19.087016   2.414e-28 
 35.881005    44.267176 |
     +---------------------------------------------------------------------------------------------------+

. parmby "regress mpg weight if index(make,`"A"')==0, robust", list(,)
too few quotes
r(132);



--
Roger Newson
Lecturer in Medical Statistics
Department of Public Health Sciences
King's College London
5th Floor, Capital House
42 Weston Street
London SE1 3QD
United Kingdom

Tel: 020 7848 6648 International +44 20 7848 6648
Fax: 020 7848 6620 International +44 20 7848 6620
  or 020 7848 6605 International +44 20 7848 6605
Email: roger.newson@kcl.ac.uk
Website: http://www.kcl-phs.org.uk/rogernewson

Opinions expressed are those of the author, not the institution.

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