Hi R-users!!
I have some trouble with the survey pakage and i would be very glad if you can
give me an advice.
I have a sample from a survey where household were interviewed. The sample has
4 criteria on which the stratification was based: REGION, SIZE OF HOUSEHOLD,
SIZE OF LOCALITY, AGE OF HEAD OF HOUSEHOLD. Since i don't have the whole
information in each cell of the cross region*sizehh*sizeloc*age i can't use
the postStratify function from Survey package. Is that correct? (I think so but
i need a competent answer)
The only additional info that i have is the size of a cell from a 2*2 crossing
(eg: I know the population size for all the strata defined by region*sizehh,
region*sizeloc, sizeloc*age........) so i have the behaviour of the population
but in a 2 by 2 cross for each of these criteria.
Now, i want to use this info but i don't know the proper way:
could i use the svydesign function as here
d<- svydesign (id=~1, data=tabel, strata =
c(region*sizehh,region*sizeloc.....), nest=T)
and then
dd<- poststratify(d, data.frame (region*size, region*sizeloc, ....),
population= data.frame(Nh region*sizehh, Nh region*sizeloc......)
or raking would be better for this type of joint distribution while specifying
in the svydesign strata =~ region+sizehh+sizeloc+agehhh.
Thank you!
Bye!
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On 7/9/07 11:42 PM, eugen pircalabelu wrote: > I have a sample from a survey where household were interviewed. The sample has 4 criteria on which the stratification was based: REGION, SIZE OF HOUSEHOLD, SIZE OF LOCALITY, AGE OF HEAD OF HOUSEHOLD. Since i don't have the whole information in each cell of the cross region*sizehh*sizeloc*age i can't use the postStratify function from Survey package. Is that correct? (I think so but i need a competent answer) > > The only additional info that i have is the size of a cell from a 2*2 crossing (eg: I know the population size for all the strata defined by region*sizehh, region*sizeloc, sizeloc*age........) so i have the behaviour of the population but in a 2 by 2 cross for each of these criteria. You're right, poststratification can't work from two-way marginal distributions, but raking or calibration can. However it seems odd that you only have this much information, since the full joint distribution would have been needed for stratification. Usually these details would be documented as part of the sample design. Can you get this information from those responsible for the sample design? It would also be good to check your understanding of the design. A sampling frame listing details of household size and age of household head would have been needed to do the four-way stratification you mention, but in my experience such frames aren't very common. James -- James Reilly Department of Statistics, University of Auckland Private Bag 92019, Auckland, New Zealand