library(survey)
ab<-expand.grid(a=factor(1:4),b=factor(1:3))
kaltonsample<-ab[rep(1:12,c(20,50,100,30,40,140,50,100,40,310,50,70)),]
kaltonpop<-ab[rep(1:12,c(80,60,170,55,40,150,60,165,55,340,200,125)),]
jointpop<-colSums(model.matrix(~a*b,kaltonpop))
marginalpop<-colSums(model.matrix(~a+b,kaltonpop))
gregpop<-colSums(model.matrix(~as.numeric(a)+as.numeric(b),kaltonpop))
dkalton<-svydesign(id=~1,data=kaltonsample)
dps<-postStratify(dkalton,~a+b,xtabs(~a+b,kaltonpop))
drake<-rake(dkalton, list(~a,~b),list(xtabs(~a,kaltonpop),xtabs(~b,kaltonpop)),control=list(epsilon=0.0001))
dcalps<-calibrate(dkalton, ~a*b, jointpop)
dcalrake<-calibrate(dkalton,~a+b, marginalpop, calfun="raking")
dlinear<-calibrate(dkalton, ~a+b, marginalpop)
dtrunclinear<-calibrate(dkalton, ~a+b, marginalpop,bounds=c(0.5,2.2))
dlogit<-calibrate(dkalton, ~a+b, marginalpop,bounds=c(0.5,2.2),calfun="logit")
dgreg<-calibrate(dkalton,~as.numeric(a)+as.numeric(b), gregpop)
#table A
round(svytable(~a+b,dps)/xtabs(~a+b,kaltonsample),2)
round(svytable(~a+b,dcalps)/xtabs(~a+b,kaltonsample),2)
#table B
round(svytable(~a+b,drake)/xtabs(~a+b,kaltonsample),2)
round(svytable(~a+b,dcalrake)/xtabs(~a+b,kaltonsample),2)
#table C
round(svytable(~a+b,dlinear)/xtabs(~a+b,kaltonsample),2)
#table D
round(svytable(~a+b,dgreg)/xtabs(~a+b,kaltonsample),2)
#table G
round(svytable(~a+b,dlogit)/xtabs(~a+b,kaltonsample),2)
#table G
round(svytable(~a+b,dtrunclinear)/xtabs(~a+b,kaltonsample),2)
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