R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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>
> ## regression test for testing regression
>
> 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(api)
>
> dstrat<-svydesign(id=~1,strata=~stype, weights=~pw, data=apistrat, fpc=~fpc)
>
>
> f<-function(){
+ form<-acs.46~stype
+ svyglm(formula=form, design = dstrat)
+ }
>
> g<-function(form){
+ svyglm(formula=form, design = dstrat)
+ }
> f()
Stratified Independent Sampling design
svydesign(id = ~1, strata = ~stype, weights = ~pw, data = apistrat,
fpc = ~fpc)
Call: svyglm(formula = form, design = dstrat)
Coefficients:
(Intercept) stypeH stypeM
28.7449 0.7551 0.4022
Degrees of Freedom: 133 Total (i.e. Null); 129 Residual
(66 observations deleted due to missingness)
Null Deviance: 1838
Residual Deviance: 1835 AIC: 719.8
> g(acs.46~stype)
Stratified Independent Sampling design
svydesign(id = ~1, strata = ~stype, weights = ~pw, data = apistrat,
fpc = ~fpc)
Call: svyglm(formula = form, design = dstrat)
Coefficients:
(Intercept) stypeH stypeM
28.7449 0.7551 0.4022
Degrees of Freedom: 133 Total (i.e. Null); 129 Residual
(66 observations deleted due to missingness)
Null Deviance: 1838
Residual Deviance: 1835 AIC: 719.8
>
> f<-function(){
+ form<-Surv(acs.46)~stype
+ svycoxph(formula=form, design = dstrat)
+ }
>
> g<-function(form){
+ svycoxph(formula=form, design = dstrat)
+ }
>
> f()
Call:
svycoxph(formula = form, design = dstrat)
coef exp(coef) se(coef) z p
stypeH -0.677 0.508 0.665 -1.02 0.31
stypeM -0.251 0.778 0.209 -1.20 0.23
Likelihood ratio test= on 2 df, p=
n= 134, number of events= 134
(66 observations deleted due to missingness)
> g(Surv(acs.46)~stype)
Call:
svycoxph(formula = form, design = dstrat)
coef exp(coef) se(coef) z p
stypeH -0.677 0.508 0.665 -1.02 0.31
stypeM -0.251 0.778 0.209 -1.20 0.23
Likelihood ratio test= on 2 df, p=
n= 134, number of events= 134
(66 observations deleted due to missingness)
>
> ## check coxph for a single predictor
> svycoxph(Surv(acs.46)~api00,design=dstrat)
Call:
svycoxph(formula = Surv(acs.46) ~ api00, design = dstrat)
coef exp(coef) se(coef) z p
api00 6.06e-06 1.00e+00 7.49e-04 0.01 0.99
Likelihood ratio test= on 1 df, p=
n= 134, number of events= 134
(66 observations deleted due to missingness)
>
> proc.time()
user system elapsed
1.030 0.059 1.106
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