R version 3.1.0 (2014-04-10) -- "Spring Dance" Copyright (C) 2014 The R Foundation for Statistical Computing Platform: x86_64-apple-darwin13.1.0 (64-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > library(survey) Attaching package: 'survey' The following object is masked from 'package:graphics': dotchart > data(election) > > dpps<- svydesign(id=~1, weights=~wt, fpc=~p, data=election_pps, pps="brewer") > dppswr <-svydesign(id=~1, weights=~wt, data=election_pps) > svytotal(~Bush+Kerry+Nader, dpps) total SE Bush 64518472 2447629 Kerry 51202102 2450787 Nader 478530 102420 > svytotal(~Bush+Kerry+Nader, dppswr) total SE Bush 64518472 2671455 Kerry 51202102 2679433 Nader 478530 105303 > > ##subsets > svytotal(~Bush+Kerry+Nader, subset(dpps, Nader>0)) total SE Bush 34944285 5399833 Kerry 25581714 4028434 Nader 478530 102420 > > ##multistage: should agree with STRS analysis > data(api) > dclus2<-svydesign(id = ~dnum + snum, fpc = ~fpc1 + fpc2, data = apiclus2) > dclus2pps<-svydesign(id = ~dnum + snum, fpc = ~I(40/fpc1) + I(pmin(1,5/fpc2)), data = apiclus2) > > all.equal(svytotal(~sch.wide,dclus2), svytotal(~sch.wide,dclus2pps)) [1] TRUE > all.equal(svymean(~sch.wide,dclus2), svymean(~sch.wide,dclus2pps)) [1] TRUE > all.equal(svytotal(~enroll,dclus2), svytotal(~enroll,dclus2pps)) [1] TRUE > > ## the new without-replacement methods > data(election) > dpps_br<- svydesign(id=~1, fpc=~p, data=election_pps, pps="brewer") > dpps_ov<- svydesign(id=~1, fpc=~p, data=election_pps, pps="overton") > dpps_hr<- svydesign(id=~1, fpc=~p, data=election_pps, pps=HR(sum(election$p^2)/40)) > dpps_hr1<- svydesign(id=~1, fpc=~p, data=election_pps, pps=HR()) > dpps_ht<- svydesign(id=~1, fpc=~p, data=election_pps, pps=ppsmat(election_jointprob)) > ## Yates-Grundy type > dpps_yg<- svydesign(id=~1, fpc=~p, data=election_pps, pps=ppsmat(election_jointprob),variance="YG") > dpps_hryg<- svydesign(id=~1, fpc=~p, data=election_pps, pps=HR(sum(election$p^2)/40),variance="YG") > > ## The with-replacement approximation > svytotal(~Bush+Kerry+Nader, dpps_ht) total SE Bush 64518472 2604404 Kerry 51202102 2523712 Nader 478530 102326 > svytotal(~Bush+Kerry+Nader, dpps_yg) total SE Bush 64518472 2406526 Kerry 51202102 2408091 Nader 478530 101664 > svytotal(~Bush+Kerry+Nader, dpps_hr) total SE Bush 64518472 2624662 Kerry 51202102 2525222 Nader 478530 102793 > svytotal(~Bush+Kerry+Nader, dpps_hryg) total SE Bush 64518472 2436738 Kerry 51202102 2439845 Nader 478530 102016 > svytotal(~Bush+Kerry+Nader, dpps_hr1) total SE Bush 64518472 2472753 Kerry 51202102 2426842 Nader 478530 102595 > svytotal(~Bush+Kerry+Nader, dpps_br) total SE Bush 64518472 2447629 Kerry 51202102 2450787 Nader 478530 102420 > svytotal(~Bush+Kerry+Nader, dpps_ov) total SE Bush 64518472 2939608 Kerry 51202102 1964632 Nader 478530 104373 > > ## subsets > svytotal(~Bush+Kerry+Nader, subset(dpps_ht, Nader>0)) total SE Bush 34944285 5406348 Kerry 25581714 4047741 Nader 478530 102326 > svytotal(~Bush+Kerry+Nader, subset(dpps_hryg, Nader>0)) total SE Bush 34944285 5377659 Kerry 25581714 4010908 Nader 478530 102016 > > ## counts > svyby(~Bush+Kerry+Nader,~I(Nader>0), unwtd.count,design=dpps_ht) I(Nader > 0) counts se FALSE FALSE 19 0 TRUE TRUE 21 0 > > proc.time() user system elapsed 1.946 0.058 2.017
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