[R] Survey package
Hi R-users! I have a problem with the survey package and i would be very grateful if you can help me. A short example: stratum id weight nh Nh y sex 1 1 3 5 15 23 1 1 2 3 5 15 25 1 1 3 3 5 15 27 2 1 4 3 5 15 21 2 1 5 3 5 15 22 1 2 6 4 3 12 33 1 2 7 4 3 12 27 1 2 8 4 3 12 29 2 where nh is size of sample stratum and Nh the corresponding population value, and y is metric variable. Now if i let design - svydesign( id=~1, data=age, strata=~stratum, fpc=~Nh) then weights(design) gives me 3,3,3,3,3,4,4,4. If i then let x- postStratify( design, strata=~sex, data.frame(sex=c(1,2), freq=c(10,15))) the weights become 123456 78 2.17 2.17 5.35 5.352.171.731.73 4.28 If i define design - svydesign( id=~1, data=age ) x- postStratify( design, strata=~sex, data.frame(sex=c(1,2), freq=c(10,15))) weights become 2 2 5 5 2 2 2 5 The question: does poststratify recognize that i have already stratified in the first design by stratum and then it post stratifies by sex? and why is that? (because i don't have the full joint distribution, the sex*stratum crossing, in order to apply correctly the post stratify function) I see that Mr Lumley uses the postStratify function when the design does not include strata (eg from ?poststratify: dclus1-svydesign(id=~dnum, weights=~pw, data=apiclus1, fpc=~fpc) rclus1-as.svrepdesign(dclus1) rclus1p-postStratify(rclus1, ~stype, pop.types) and i use design - svydesign( id=~1, data=age, strata=~stratum, fpc=~Nh) x- postStratify( design, strata=~sex, data.frame(sex=c(1,2), freq=c(10,15))) which has a first strata (stratum from svydesign) and a second strata(sex, from poststratify) Is it correct to use the functions as use them or am i doing something wrong? Thank you ! - Park yourself in front of a world of choices in alternative vehicles. [[alternative HTML version deleted]] __ R-help@stat.math.ethz.ch mailing list 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] R survey package again
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! - [[alternative HTML version deleted]] __ R-help@stat.math.ethz.ch mailing list 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] the survey package
Good afternoon! I'm trying to use the survey package to get a better point of view for my data, but i need some piece of advice: i have some data from a survey which has been stratified using 2 criteria: region(7 values), size of locality(5 values) Using the survey pakage how can i define in a correct way this design (taking into account all 4 strata not just one as in the Survey example) i have tried design- svydesign(ids=~0, strata= c(~regiune,~size_loc), data=tabel) # for 2 criteria and got this error Error in strata[, 1] : incorrect number of dimensions My tabel looks like this: cod cantitate pondere regiune size_loc size_hhage_hhh 7405977.604 0.9962673 1 1 3 52 74213879.362 0.8674601 1 1 3 42 743 7876.3220.9845403 1 1 4 53 7451169.084 1.1690844 11 3 50 7464430.431 0.9845403 11 350 751 3938.161 0.9845403 1 1 2 39 What does it mean and where was i wrong? I'm sorry for taking up your time but i don't know how to fix my problem. Thank you! - Luggage? GPS? Comic books? [[alternative HTML version deleted]] __ R-help@stat.math.ethz.ch mailing list 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] Survey package
Good afternoon! I'm trying to use the Survey package for a stratified sample which has 4 criteria on which the stratification is based. I would like to get the corrected weights and for every element i get a weight of 1 E.g: tipping design - svydesign (id=~1, strata= ~regiune + size_loc + age_rec_hhh + size_hh, data= tabel) and then weights(design) gives me: 1,1,1,1,1,1,1,1,1,1,1,... for each element Why is that? What do i do wrong? Thank you! - [[alternative HTML version deleted]] __ R-help@stat.math.ethz.ch mailing list 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.
