Re: st: Re: calculating proportions

[Nick Cox <njcoxstata@gmail.com>]

There are various possible reasons for a problem here with what
Ekaterina did, including

1. No local macro N_female was defined by her earlier.

2. One such was defined by her but is not visible to Stata at that point.

The use of local macros looks fine in the code posted by Pathmes and Oliver.

Nicl

On Tue, Feb 21, 2012 at 5:22 PM, Ekaterina Hertog
<ekaterina.hertog@sociology.ox.ac.uk> wrote:
> Dear Pathmes and Oliver,
> thanks a lot, great code and it solves my problems! And I learned more than
> 3 things from it
> Just a small hitch:
> converting numbers to proportions syntax:
>
> gen fap=fa/`N_female'
>
> gives an error message: 'invalid syntax'.
> I went around it by creating a variable which is a constant and equals a
> total number of women in the population and using it instead of the local
> macro. I clumsy way to do it.
> katya
>
> On 21/02/2012 16:45, Pathmeswaran wrote:
>>
>> Thanks Oliver.
>>
>> With your help I was able to learn 3 things on my first day in statalist!
>>
>>   forvalues
>>   `r(N)'
>>   indentation in foreach/ forvalue loops
>>
>> *************** example code begins **************************
>>
>> version 8
>> clear all
>> set obs 7
>>
>> gen byte id = _n
>>
>> gen byte sex = 1
>> replace sex = 0 in 4/7
>> label def lbl_sex 0 "male" 1 "female"
>> label values sex lbl_sex
>>
>> gen int income = 7
>> replace income = 10 in 3
>> replace income = 0 in 4
>> replace income = 7 in 5
>> replace income = 9 in 6
>> replace income = 11 in 7
>>
>> list
>>
>> * I have just copied Oliver's code
>>
>> sort sex
>> gen idm=_n if sex==0
>> * idm is a unique number for each male
>>
>> gen fa=.
>> label variable fa "Number of females with higher income"
>>
>> gen fb=.
>> label variable fb "Number of females with lower income"
>>
>> gen fe=.
>> label variable fe "Number of females with equal income"
>>
>> * The variables fa, fb&  fe are generated individually for each male
>> in the following loop
>> quietly{
>>        count if sex == 0
>>        local N_male = `r(N)'
>>
>>        count if sex == 1
>>        local N_female = `r(N)'
>>
>>        forvalues i = 1/`N_male' {
>>                egen int feabove = rank(income) if sex==1 | (sex==0&
>>  idm==`i'), field
>>                replace fa= feabove - 1 if idm==`i'
>>                drop feabove
>>
>>                egen int febelow = rank(income) if sex==1 | (sex==0&
>>  idm==`i'), track
>>                replace fb=  febelow - 1 if idm==`i'
>>                drop febelow
>>
>>                replace fe=`N_female' - ( fa+ fb) if idm==`i'
>>        }
>> }
>>
>> * Converting the numbers to proportions
>>
>> gen fap=fa/`N_female'
>> label variable fap "Proportion of females with higher income"
>>
>> gen fbp=fb/`N_female'
>> label variable fbp "Proportion of females with lower income"
>>
>> gen fep=fe/`N_female'
>> label variable fep "Proportion of females with equal income"
>>
>> **************** example code ends ***************************
>>
>>

*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/