
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
> 
