> On Sep 2, 2016, at 6:08 PM, Juan Ceccarelli Arias <jfca...@gmail.com> wrote:
>
> 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.
>
(Anthony's probably asleep.)
This doesn't ignore the se's but that could be easily done by omitting that
column from the data argument:
>From the examples on the help page for svymean:
> svyby( ~ mobility , ~ stype + comp.imp , dclus1 , svymean )
stype comp.imp mobility se
E.No E No 19.71875 1.347583
H.No H No 13.14286 0.740017
M.No M No 14.81818 2.960618
E.Yes E Yes 17.28571 1.536158
H.Yes H Yes 35.14286 16.570001
M.Yes M Yes 13.71429 2.628573
apimeans1 <- svyby( ~ mobility , ~ stype + comp.imp , dclus1 , svymean )
> reshape(apimeans1, idvar='stype', direction="wide", timevar="comp.imp")
stype mobility.No se.No mobility.Yes se.Yes
E.No E 19.71875 1.347583 17.28571 1.536158
H.No H 13.14286 0.740017 35.14286 16.570001
M.No M 14.81818 2.960618 13.71429 2.628573
--
David.
>
>
>
>
> 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]]
>>>
>>> ______________________________________________
>>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>> PLEASE do read the posting guide http://www.R-project.org/posti
>>> ng-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>>
>>
>>
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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