Analysis results data for survey Chi-Square test using survey::svychisq().
Only two-way comparisons are supported.
Arguments
- data
(
survey.design)
a survey design object often created with the {survey} package- by
(
tidy-select)
column name to compare by.- variables
(
tidy-select)
column names to be compared. Independent tests will be computed for each variable.- statistic
(
character)
statistic used to estimate Chisq p-value. Default is the Rao-Scott second-order correction ("F"). Seesurvey::svychisqfor available statistics options.- ...
arguments passed to
survey::svychisq().
Examples
data(api, package = "survey")
dclus1 <- survey::svydesign(id = ~dnum, weights = ~pw, data = apiclus1, fpc = ~fpc)
ard_survey_svychisq(dclus1, variables = sch.wide, by = comp.imp, statistic = "F")
#> # An ARD data frame: 5 × 9
#> group1 variable context stat_name stat
#> <chr> <chr> <chr> <chr> <named list>
#> 1 comp.imp sch.wide survey_svyc… ndf 1
#> 2 comp.imp sch.wide survey_svyc… ddf 14
#> 3 comp.imp sch.wide survey_svyc… statistic 236.8947
#> 4 comp.imp sch.wide survey_svyc… p.value 3.617927e-10
#> 5 comp.imp sch.wide survey_svyc… method Pearson's X^2: Rao & Scott adjustment
#> # ℹ 4 more variables: stat_label <chr>, fmt_fun <named list>,
#> # warning <named list>, error <named list>
