R version 3.4.1 (2017-06-30) -- "Single Candle"
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>
> 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
> library(RSQLite)
>
> data(api)
> apiclus1$api_stu<-apiclus1$api.stu
> apiclus1$comp_imp<-apiclus1$comp.imp
> dclus1<-svydesign(id=~dnum, weights=~pw, fpc=~fpc,data=apiclus1)
> dbclus1<-svydesign(id=~dnum, weights=~pw, fpc=~fpc,
+ data="apiclus1",dbtype="SQLite", dbname=system.file("api.db",package="survey"))
>
> m<-svymean(~api00+stype,dclus1)
> m.db<-svymean(~api00+stype, dbclus1)
> all.equal(coef(m),coef(m.db))
[1] TRUE
> all.equal(vcov(m), vcov(m.db))
[1] TRUE
>
> r<-svyratio(~api_stu, ~enroll, design=dclus1)
> r.db<-svyratio(~api_stu, ~enroll, design=dbclus1)
> all.equal(coef(r), coef(r.db))
[1] TRUE
> all.equal(SE(r), SE(r.db))
[1] TRUE
>
> b<-svyby(~api99+api00,~stype, design=dclus1, svymean, deff=TRUE)
> b.db<-svyby(~api99+api00,~stype, design=dbclus1,svymean, deff=TRUE)
> all.equal(coef(b), coef(b.db))
[1] TRUE
> all.equal(SE(b), SE(b.db))
[1] TRUE
> all.equal(deff(b), deff(b.db))
[1] TRUE
>
> l<-svyglm(api00~api99+mobility, design=dclus1)
> l.db<-svyglm(api00~api99+mobility, design=dbclus1)
> all.equal(coef(l),coef(l.db))
[1] TRUE
> all.equal(vcov(l), vcov(l.db))
[1] TRUE
>
> dclus1<-update(dclus1, apidiff=api00-api99)
> dclus1<-update(dclus1, apipct= apidiff/api99)
> dbclus1<-update(dbclus1, apidiff=api00-api99)
> dbclus1<-update(dbclus1, apipct= apidiff/api99)
>
> u<-svymean(~api00+apidiff+apipct, dclus1)
> u.db<-svymean(~api00+apidiff+apipct, dbclus1)
> all.equal(u, u.db)
[1] TRUE
>
> all.equal(nrow(dclus1),nrow(dbclus1))
[1] TRUE
>
> ## replicate weights
> rclus1<-as.svrepdesign(dclus1)
> db_rclus1<-svrepdesign(weights=~pw, repweights="wt[1-9]+", type="JK1", scale=(1-15/757)*14/15,
+ data="apiclus1rep",dbtype="SQLite", dbname=system.file("api.db",package="survey"),combined.weights=FALSE)
> m<-svymean(~api00+api99,rclus1)
> m.db<-svymean(~api00+api99,db_rclus1)
> all.equal(m,m.db)
[1] TRUE
>
> summary(db_rclus1)
DB-backed replicate weight design
Call: svrepdesign(weights = ~pw, repweights = "wt[1-9]+", type = "JK1",
scale = (1 - 15/757) * 14/15, data = "apiclus1rep", dbtype = "SQLite",
dbname = system.file("api.db", package = "survey"), combined.weights = FALSE)
Unstratified cluster jacknife (JK1) with 15 replicates.
Variables:
[1] "row_names" "cds" "stype" "name" "sname"
[6] "snum" "dname" "dnum" "cname" "cnum"
[11] "flag" "pcttest" "api00" "api99" "target"
[16] "growth" "sch_wide" "comp_imp" "both" "awards"
[21] "meals" "ell" "yr_rnd" "mobility" "acs_k3"
[26] "acs_46" "acs_core" "pct_resp" "not_hsg" "hsg"
[31] "some_col" "col_grad" "grad_sch" "avg_ed" "full__1"
[36] "emer" "enroll" "api_stu" "fpc" "pw"
[41] "row_names:1" "wt1" "wt2" "wt3" "wt4"
[46] "wt5" "wt6" "wt7" "wt8" "wt9"
[51] "wt10" "wt11" "wt12" "wt13" "wt14"
[56] "wt15"
>
> s<-svymean(~api00, subset(rclus1, comp_imp=="Yes"))
> s.db<-svymean(~api00, subset(db_rclus1, comp_imp=="Yes"))
> all.equal(s,s.db)
[1] TRUE
>
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