Thanks a lot. Your code does the trick.
One last question:
The tabulate produced is showing every cross in just one column.
I mean, it presents the region by order and sex=1, and then again the
region but by sex==2.
Can i list or present as this:
sex1 sex2
region1 323. 3434..
...
regionN 123.. 432..
and ignoring the remaining info (standar errors or se in this case)?
Again, thanks Anthony. Really.
On Fri, Sep 2, 2016 at 8:24 PM, Anthony Damico <ajdam...@gmail.com> wrote:
> # mean
> svymean( ~ income_variable , NN )
> svyby( ~ income_variable , ~ age + sex , NN , svymean )
>
> # median
> svyquantile( ~ income_variable , NN )
> svyby( ~ income_variable , ~ age + sex , NN , svyquantile , 0.5 )
>
>
>
>
> On Fri, Sep 2, 2016 at 3:04 PM, Juan Ceccarelli Arias <jfca...@gmail.com>
> wrote:
>
>> Hello
>> Im analyzing a survey and i need to obtain some statistics per groups.
>> Im able to create a table with sex and age. However, if i want to know how
>> much income earns the population by sex and age, i can't.
>> Im loading the dataset as describe the line below
>> NN <- svydesign(ids = ~1, data = encuesta, weights = fact)
>> Some simple table i can create
>> table(svytable(~age+sex,design=NN))
>> But im not able to handle the same tabulate referencing a income variable,
>> in this case, wage.
>> Can you help me?
>> Thanks for your replies and time.
>>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
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>> PLEASE do read the posting guide http://www.R-project.org/posti
>> ng-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>
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