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/dports/math/R-cran-survey/survey/man/
H A Dsurveysummary.Rd3 \alias{svymean.survey.design}
9 \alias{svytotal.survey.design}
10 \alias{svytotal.survey.design2}
11 \alias{svytotal.svyrep.design}
13 \alias{svyvar.survey.design}
36 \method{svymean}{survey.design}(x, design, na.rm=FALSE,deff=FALSE,influence=FALSE,...)
41 \method{svyvar}{survey.design}(x, design, na.rm=FALSE,...)
44 \method{svytotal}{survey.design}(x, design, na.rm=FALSE,deff=FALSE,influence=FALSE,...)
45 \method{svytotal}{survey.design2}(x, design, na.rm=FALSE,deff=FALSE,influence=FALSE,...)
47 \method{svytotal}{svyrep.design}(x, design, na.rm=FALSE, rho=NULL,
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H A Das.svrepdesign.Rd7 \title{Convert a survey design to use replicate weights}
9 Creates a replicate-weights survey design object from a traditional
10 strata/cluster survey design object. \code{JK1} and \code{JKn} are
24 mse=getOption("survey.replicates.mse"))
28 mse=getOption("survey.replicates.mse"))
32 \item{design}{Object of class \code{survey.design} or \code{svyimputationList}}
100 svytotal(~enroll, dclus1)
103 svytotal(~enroll, rclus1)
106 svytotal(~enroll, bclus1)
110 svytotal(~api00+stype, dclus2)
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H A Dcalibrate.Rd2 \alias{calibrate.survey.design2}
3 \alias{calibrate.svyrep.design}
6 %\alias{regcalibrate.survey.design2}
7 %\alias{regcalibrate.svyrep.design}
18 survey design and adds additional information that is used by
22 calibrate(design,...)
23 \method{calibrate}{survey.design2}(design, formula, population,
28 \method{calibrate}{svyrep.design}(design, formula, population,compress=NA,
41 \item{design}{Survey design object}
182 A survey design object.
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H A DpostStratify.Rd4 \alias{postStratify.svyrep.design}
5 \alias{postStratify.survey.design}
7 \title{Post-stratify a survey }
16 \method{postStratify}{svyrep.design}(design, strata, population, partial = FALSE, compress=NULL,...)
17 \method{postStratify}{survey.design}(design, strata, population, partial = FALSE, ...)
21 \item{design}{A survey design with replicate weights}
63 A new survey design object.
85 svytotal(~enroll, rclus1)
95 svytotal(~enroll, rclus1p)
102 svytotal(~enroll, dclus1p)
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H A Drake.Rd4 \title{Raking of replicate weight design}
7 distributions of a survey sample to known population margins.
10 rake(design, sample.margins, population.margins, control = list(maxit =
15 \item{design}{A survey object }
43 A raked survey design.
57 svytotal(~enroll, rclus1)
66 svytotal(~enroll, rclus1r)
78 ## Do it for a design without replicate weights
82 svytotal(~enroll, dclus1r)
98 svytotal(~enroll, rclus1ps)
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H A Dsvychisq.Rd5 \alias{svytable.survey.design}
7 \alias{svychisq.survey.design}
14 \alias{degf.survey.design2}
17 \title{Contingency tables for survey data}
22 \method{svytable}{survey.design}(formula, design, Ntotal = NULL, round = FALSE,...)
24 \method{svychisq}{survey.design}(formula, design,
31 \method{degf}{survey.design2}(design, ...)
37 \item{design}{survey object}
54 to use \code{\link{svytotal}} or \code{\link{svymean}}, which also
106 \code{\link{svytotal}} and \code{\link{svymean}}. The exception is that
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H A Dsvyby.Rd10 \alias{svyby.survey.design2}
14 Compute survey statistics on subsets of a survey defined by factors.
22 multicore=getOption("survey.multicore"))
23 \method{svyby}{survey.design2}(formula, by, design, FUN, ..., deff=FALSE,keep.var = TRUE,
26 na.rm.by=FALSE, na.rm.all=FALSE, multicore=getOption("survey.multicore"))
42 \item{FUN}{A function taking a formula and survey design object as its
119 \code{\link{update.survey.design}} to add variables to the design
151 svyby(~enroll,~stype, rclus1,svytotal, deff=TRUE)
163 tots<-svyby(~enroll, ~stype, dclus1, svytotal,covmat=TRUE)
176 (a<-svyby(~enroll, ~stype, rclus1, svytotal, deff=TRUE, verbose=TRUE,
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/dports/math/R-cran-survey/survey/
H A DNAMESPACE21 S3method(svyloglin,survey.design)
84 S3method(svytotal, survey.design)
85 S3method(svytotal, svyrep.design)
86 S3method(svytotal, survey.design2)
87 S3method(svytotal, twophase)
88 S3method(svytotal, twophase2)
89 S3method(svytotal, pps)
90 S3method(svytotal, DBIsvydesign)
124 S3method(svyglm,survey.design)
313 S3method(dim,survey.design)
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/dports/math/R-cran-survey/survey/tests/
H A Dtoy_example_for_postStratify.R1 library(survey)
26 design = toy_design,
27 FUN = survey::svytotal))
34 adjusted <- postStratify(design = subset(toy_design, responded),
41 design = adjusted,
42 FUN = survey::svytotal)
H A Dbycovmat.R2 library(survey)
8 a<-svyby(~api00+api99, ~comp.imp+sch.wide,design=rclus1,svymean,
10 b<-svyby(~api00+api99, ~comp.imp+sch.wide,design=rclus1,svymean,
21 all <- svytotal(~ell+mobility+meals, dclus1)
32 all <- svytotal(~ell+mobility+meals, rclus1, return.replicates=TRUE)
39 stopifnot(all(abs(survey:::svrVar(con$replicates, rclus1$scale,rclus1$rscales,mse=rclus1$mse, coef=…
45 a<-svyby(~api00+api99, ~comp.imp+sch.wide,design=rclus1,svymean,
47 b<-svyby(~api00+api99, ~comp.imp+sch.wide,design=rclus1,svymean,
58 all <- svytotal(~ell+mobility+meals, dclus1)
69 all <- svytotal(~ell+mobility+meals, rclus1, return.replicates=TRUE)
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H A Dsvyby_se.R1 library(survey)
5 a<-svyby(~enroll,~stype,design=dstrat,svytotal,vartype=c("ci","se"))
6 b<-svyby(~enroll,~stype,design=dstrat,svytotal,vartype=c("se","ci"))
H A Dpps.R1 library(survey)
6 svytotal(~Bush+Kerry+Nader, dpps)
7 svytotal(~Bush+Kerry+Nader, dppswr)
17 all.equal(svytotal(~sch.wide,dclus2), svytotal(~sch.wide,dclus2pps))
19 all.equal(svytotal(~enroll,dclus2), svytotal(~enroll,dclus2pps))
33 svytotal(~Bush+Kerry+Nader, dpps_ht)
34 svytotal(~Bush+Kerry+Nader, dpps_yg)
35 svytotal(~Bush+Kerry+Nader, dpps_hr)
38 svytotal(~Bush+Kerry+Nader, dpps_br)
39 svytotal(~Bush+Kerry+Nader, dpps_ov)
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H A Dcaleg.R7 library(survey)
28 round(svyby(~api99, ~dnum, design=dclus2, svymean),4)
30 round(svyby(~api99, ~dnum, design=dclus2g, svymean),4)
39 svytotal(~enroll,dclus1g)
40 svytotal(~api.stu,dclus1g)
53 svytotal(~api.stu,dstrat)
58 svytotal(~api.stu, dstratg)
74 summary(svyglm(y~z+x,design=dps,family=quasibinomial))
108 svytotal(~enroll, dclus1g)
113 svytotal(~enroll, dclus1g)
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/dports/math/R-cran-survey/survey/tests/testoutput/
H A Dbycovmat.R2 library(survey)
8 a<-svyby(~api00+api99, ~comp.imp+sch.wide,design=rclus1,svymean,
10 b<-svyby(~api00+api99, ~comp.imp+sch.wide,design=rclus1,svymean,
21 all <- svytotal(~ell+mobility+meals, dclus1)
32 all <- svytotal(~ell+mobility+meals, rclus1, return.replicates=TRUE)
39 stopifnot(all(abs(survey:::svrVar(con$replicates, rclus1$scale,rclus1$rscales,mse=rclus1$mse, coef=…
45 a<-svyby(~api00+api99, ~comp.imp+sch.wide,design=rclus1,svymean,
47 b<-svyby(~api00+api99, ~comp.imp+sch.wide,design=rclus1,svymean,
58 all <- svytotal(~ell+mobility+meals, dclus1)
69 all <- svytotal(~ell+mobility+meals, rclus1, return.replicates=TRUE)
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H A Dbycovmat.Rout.save19 > library(survey)
21 Attaching package: 'survey'
28 > options(survey.replicates.mse=TRUE)
32 > a<-svyby(~api00+api99, ~comp.imp+sch.wide,design=rclus1,svymean,
34 > b<-svyby(~api00+api99, ~comp.imp+sch.wide,design=rclus1,svymean,
45 > all <- svytotal(~ell+mobility+meals, dclus1)
56 > all <- svytotal(~ell+mobility+meals, rclus1, return.replicates=TRUE)
65 > options(survey.replicates.mse=FALSE)
69 > a<-svyby(~api00+api99, ~comp.imp+sch.wide,design=rclus1,svymean,
71 > b<-svyby(~api00+api99, ~comp.imp+sch.wide,design=rclus1,svymean,
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H A Dapi.Rout.saved18 > library(survey)
20 Attaching package: 'survey'
26 > options(survey.replicates.mse=TRUE)
29 api> library(survey)
52 design.PSU 100 50 50
78 1 - level Cluster Sampling design
106 2 - level Cluster Sampling design
188 1 - level Cluster Sampling design
232 > options(survey.replicates.mse=FALSE)
235 api> library(survey)
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H A Dpps.R1 library(survey)
6 svytotal(~Bush+Kerry+Nader, dpps)
7 svytotal(~Bush+Kerry+Nader, dppswr)
17 all.equal(svytotal(~sch.wide,dclus2), svytotal(~sch.wide,dclus2pps))
19 all.equal(svytotal(~enroll,dclus2), svytotal(~enroll,dclus2pps))
33 svytotal(~Bush+Kerry+Nader, dpps_ht)
34 svytotal(~Bush+Kerry+Nader, dpps_yg)
35 svytotal(~Bush+Kerry+Nader, dpps_hr)
38 svytotal(~Bush+Kerry+Nader, dpps_br)
39 svytotal(~Bush+Kerry+Nader, dpps_ov)
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H A Dpps.Rout.save18 > library(survey)
20 Attaching package: 'survey'
30 > svytotal(~Bush+Kerry+Nader, dpps)
35 > svytotal(~Bush+Kerry+Nader, dppswr)
53 > all.equal(svytotal(~sch.wide,dclus2), svytotal(~sch.wide,dclus2pps))
57 > all.equal(svytotal(~enroll,dclus2), svytotal(~enroll,dclus2pps))
72 > svytotal(~Bush+Kerry+Nader, dpps_ht)
77 > svytotal(~Bush+Kerry+Nader, dpps_yg)
82 > svytotal(~Bush+Kerry+Nader, dpps_hr)
97 > svytotal(~Bush+Kerry+Nader, dpps_br)
[all …]
H A Dcaleg.R7 library(survey)
28 round(svyby(~api99, ~dnum, design=dclus2, svymean),4)
30 round(svyby(~api99, ~dnum, design=dclus2g, svymean),4)
39 svytotal(~enroll,dclus1g)
40 svytotal(~api.stu,dclus1g)
53 svytotal(~api.stu,dstrat)
58 svytotal(~api.stu, dstratg)
74 summary(svyglm(y~z+x,design=dps,family=quasibinomial))
108 svytotal(~enroll, dclus1g)
113 svytotal(~enroll, dclus1g)
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H A Dcaleg.Rout.save24 > library(survey)
29 Attaching package: 'survey'
59 > round(svyby(~api99, ~dnum, design=dclus2, svymean),4)
91 > round(svyby(~api99, ~dnum, design=dclus2g, svymean),4)
130 > svytotal(~enroll,dclus1g)
133 > svytotal(~api.stu,dclus1g)
151 > svytotal(~api.stu,dstrat)
166 > svytotal(~api.stu, dstratg)
183 > ## missing data in calibrated design
185 > summary(svyglm(y~z+x,design=dps,family=quasibinomial))
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/dports/math/R-cran-survey/survey/vignettes/
H A Dsurvey.Rnw3 %\VignetteIndexEntry{A survey analysis example}
6 \title{A survey analysis example}
27 library(survey)
42 design object containing the data.
46 svytotal(~stype, dclus1)
47 svytotal(~enroll, dclus1)
56 svyratio(~api.stu, ~enroll, design=subset(dclus1, stype=="H"))
74 svyby(~ell+meals, ~stype, design=dclus1, svymean)
80 regmodel <- svyglm(api00~ell+meals,design=dclus1)
94 svytotal(~stype, gclus1)
[all …]
H A Dpps.Rnw15 …survey package has always supported PPS (ie, arbitrary unequal probability) sampling with replacem…
58 library(survey)
64 Some possible survey design specifications for these data are:
92 svytotal(~Bush+Kerry+Nader, dpps_ht)
93 svytotal(~Bush+Kerry+Nader, dpps_yg)
94 svytotal(~Bush+Kerry+Nader, dpps_hr)
95 svytotal(~Bush+Kerry+Nader, dpps_hryg)
96 svytotal(~Bush+Kerry+Nader, dpps_hr1)
97 svytotal(~Bush+Kerry+Nader, dpps_br)
98 svytotal(~Bush+Kerry+Nader, dpps_ov)
[all …]
/dports/math/R-cran-survey/survey/inst/doc/
H A Dsurvey.Rnw3 %\VignetteIndexEntry{A survey analysis example}
6 \title{A survey analysis example}
27 library(survey)
42 design object containing the data.
46 svytotal(~stype, dclus1)
47 svytotal(~enroll, dclus1)
56 svyratio(~api.stu, ~enroll, design=subset(dclus1, stype=="H"))
74 svyby(~ell+meals, ~stype, design=dclus1, svymean)
80 regmodel <- svyglm(api00~ell+meals,design=dclus1)
94 svytotal(~stype, gclus1)
[all …]
H A Dsurvey.R6 library(survey)
22 svytotal(~stype, dclus1)
23 svytotal(~enroll, dclus1)
30 svyratio(~api.stu, ~enroll, design=subset(dclus1, stype=="H"))
43 svyby(~ell+meals, ~stype, design=dclus1, svymean)
49 regmodel <- svyglm(api00~ell+meals,design=dclus1)
50 logitmodel <- svyglm(I(sch.wide=="Yes")~ell+meals, design=dclus1, family=quasibinomial())
66 svytotal(~stype, gclus1)
67 svytotal(~enroll, gclus1)
H A Dpps.Rnw15 …survey package has always supported PPS (ie, arbitrary unequal probability) sampling with replacem…
58 library(survey)
64 Some possible survey design specifications for these data are:
92 svytotal(~Bush+Kerry+Nader, dpps_ht)
93 svytotal(~Bush+Kerry+Nader, dpps_yg)
94 svytotal(~Bush+Kerry+Nader, dpps_hr)
95 svytotal(~Bush+Kerry+Nader, dpps_hryg)
96 svytotal(~Bush+Kerry+Nader, dpps_hr1)
97 svytotal(~Bush+Kerry+Nader, dpps_br)
98 svytotal(~Bush+Kerry+Nader, dpps_ov)
[all …]

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