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...lt;-c('m','f','m') > b<-c(1:3) > st<-c(1:3) > data.frame(a,b,st) a b st 1 m 1 1 2 f 2 2 3 m 3 3 > data.frame(a,b,st)->l > p<-svydesign(ids=~1, data=l) > pop<-c('(intercept)'=100, st1=10,st2=20) > calibrate(p,~st, pop) Error in regcalibrate.survey.design2(design, formula, population, aggregate.stage = aggregate.stage, : Population and sample totals are not the same length. Thank you and have a great day! --------------------------------- [[alternative HTML version deleted]]

Hi all, I have a question on the package « survey” I have some difficulties to use the function ‘calibrate’. Although it works well with one single factor variable, I cannot use it for 2 and get the message “Erreur dans regcalibrate.survey.design2(design, formula, population, aggregate.stage = aggregate.stage, : Population and sample totals are not the same length.” Here is the format I use as a data.frame: ecodiaMG[1:10, 71:73] age_cl1 sexe1 region1 1 MG_54 MG_H MG_NE 2 MG_54 MG_H MG_NE 3 M...

...s a different one. Since I calculated the Taylor Series solution, i suppose there must be another approach? The calibration help page tells me to enter a list of population total vectors for each cluster, which would result in: dmulti3.cal <- calibrate(dmulti3, ~1, pop=c(100,50,75)) Error in regcalibrate.survey.design2(design, formula, population, aggregate.stage = aggregate.stage, : Population and sample totals are not the same length. I am very grateful for your help and wish you alle the best Yours mark

...data = emp.dat) rake.svy <- rake(emp.svy, list(~Gender, ~Age), list(pop.gender, pop.age)) cal.svy <- calibrate(emp.svy, formula = list(~Gender, ~Age), population = list(pop.gender, pop.age), cal.fun = "raking") # Warning message: # In regcalibrate.survey.design2(design, formula, population, aggregate.stage # = aggregate.stage, :Sample and population totals have different names. # check weights--M and F seem reversed when "calibrate" used library(reshape2) check1 <- with(rake.svy, cbind(variables, weight = 1/prob)) dcast(che...