R Under development (unstable) (2024-03-19 r86153 ucrt) -- "Unsuffered Consequences" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 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) Loading required package: grid Loading required package: Matrix Loading required package: survival Attaching package: 'survey' The following object is masked from 'package:graphics': dotchart > data(fpc) > ## test various possibilities for svydesign > a<-svydesign(weights=~weight, ids=~psuid, strata=~stratid, variables=~x, data=fpc, nest=TRUE) > a Stratified Independent Sampling design (with replacement) svydesign(weights = ~weight, ids = ~psuid, strata = ~stratid, variables = ~x, data = fpc, nest = TRUE) > svymean(~x,a) mean SE x 5.4481 0.7413 > a<-svydesign(weights=~weight, ids=~0, strata=~stratid, variables=~x, data=fpc, nest=TRUE) > a Stratified Independent Sampling design (with replacement) svydesign(weights = ~weight, ids = ~0, strata = ~stratid, variables = ~x, data = fpc, nest = TRUE) > svymean(~x,a) mean SE x 5.4481 0.7413 > a<-svydesign(weights=1, ids=~0, strata=~stratid, variables=~x, data=fpc, nest=TRUE) > a Stratified Independent Sampling design (with replacement) svydesign(weights = 1, ids = ~0, strata = ~stratid, variables = ~x, data = fpc, nest = TRUE) > svymean(~x,a) mean SE x 44.2 6.237 > a<-svydesign(ids=~0, strata=~stratid, variables=~x, data=fpc, nest=TRUE) Warning message: In svydesign.default(ids = ~0, strata = ~stratid, variables = ~x, : No weights or probabilities supplied, assuming equal probability > a Stratified Independent Sampling design (with replacement) svydesign(ids = ~0, strata = ~stratid, variables = ~x, data = fpc, nest = TRUE) > svymean(~x,a) mean SE x 5.525 0.7796 > a<-svydesign(ids=~0, strata=~stratid, prob=~I(1/weight),variables=~x, data=fpc, nest=TRUE) > a Stratified Independent Sampling design (with replacement) svydesign(ids = ~0, strata = ~stratid, prob = ~I(1/weight), variables = ~x, data = fpc, nest = TRUE) > svymean(~x,a) mean SE x 5.4481 0.7413 > a<-svydesign(ids=~psuid, strata=~stratid, variables=~x, data=fpc, nest=TRUE) Warning message: In svydesign.default(ids = ~psuid, strata = ~stratid, variables = ~x, : No weights or probabilities supplied, assuming equal probability > a Stratified Independent Sampling design (with replacement) svydesign(ids = ~psuid, strata = ~stratid, variables = ~x, data = fpc, nest = TRUE) > svymean(~x,a) mean SE x 5.525 0.7796 > a<-svydesign(ids=~psuid, variables=~x, data=fpc, nest=TRUE) Warning message: In svydesign.default(ids = ~psuid, variables = ~x, data = fpc, nest = TRUE) : No weights or probabilities supplied, assuming equal probability > a 1 - level Cluster Sampling design (with replacement) With (5) clusters. svydesign(ids = ~psuid, variables = ~x, data = fpc, nest = TRUE) > svymean(~x,a) mean SE x 5.525 0.838 > a<-svydesign(ids=~psuid, weights=~weight, variables=~x, data=fpc, nest=TRUE) > a 1 - level Cluster Sampling design (with replacement) With (5) clusters. svydesign(ids = ~psuid, weights = ~weight, variables = ~x, data = fpc, nest = TRUE) > svymean(~x,a) mean SE x 5.4481 0.7938 > a<-svydesign(ids=~stratid+psuid, weights=~weight, variables=~x, data=fpc) > a 2 - level Cluster Sampling design (with replacement) With (2, 8) clusters. svydesign(ids = ~stratid + psuid, weights = ~weight, variables = ~x, data = fpc) > svymean(~x,a) mean SE x 5.4481 0.5465 > a<-svydesign(ids=~stratid+psuid, variables=~x, data=fpc) Warning message: In svydesign.default(ids = ~stratid + psuid, variables = ~x, data = fpc) : No weights or probabilities supplied, assuming equal probability > a 2 - level Cluster Sampling design (with replacement) With (2, 8) clusters. svydesign(ids = ~stratid + psuid, variables = ~x, data = fpc) > svymean(~x,a) mean SE x 5.525 0.5188 > a<-svydesign(weights=fpc$weight, ids=fpc$psuid, strata=fpc$stratid, variables=fpc[,"x",drop=FALSE], nest=TRUE) > a Stratified Independent Sampling design (with replacement) svydesign(weights = fpc$weight, ids = fpc$psuid, strata = fpc$stratid, variables = fpc[, "x", drop = FALSE], nest = TRUE) > svymean(~x,a) mean SE x 5.4481 0.7413 > a<-svydesign(weights=fpc$weight, ids=fpc$psuid, strata=fpc$stratid, variables=fpc[,4:6], nest=TRUE) > a Stratified Independent Sampling design (with replacement) svydesign(weights = fpc$weight, ids = fpc$psuid, strata = fpc$stratid, variables = fpc[, 4:6], nest = TRUE) > svymean(~x,a) mean SE x 5.4481 0.7413 > > a<-svydesign(weights=fpc$weight, ids=fpc$psuid, variables=fpc[,4:6], fpc=rep(27,8)) > a 1 - level Cluster Sampling design With (5) clusters. svydesign(weights = fpc$weight, ids = fpc$psuid, variables = fpc[, 4:6], fpc = rep(27, 8)) > svymean(~x,a) mean SE x 5.4481 0.7165 > > a<-svydesign(weights=fpc$weight, ids=fpc$psuid, strata=fpc$stratid, nest=TRUE, variables=fpc[,4:6], fpc=fpc$Nh) > a Stratified Independent Sampling design svydesign(weights = fpc$weight, ids = fpc$psuid, strata = fpc$stratid, nest = TRUE, variables = fpc[, 4:6], fpc = fpc$Nh) > svymean(~x,a) mean SE x 5.4481 0.616 > > proc.time() user system elapsed 1.92 0.15 2.06