ARD Survey Chi-Square Test — ard_survey

Analysis results data for survey Chi-Square test using survey::svychisq(). Only two-way comparisons are supported.

Usage

ard_survey_svychisq(data, by, variables, statistic = "F", ...)

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"). See survey::svychisq for available statistics options.
...: arguments passed to survey::svychisq().

Value

ARD data frame

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")
#> {cards} data frame: 5 x 9
#>     group1 variable   context stat_name stat_label      stat
#> 1 comp.imp sch.wide survey_s…       ndf  Nominato…         1
#> 2 comp.imp sch.wide survey_s…       ddf  Denomina…        14
#> 3 comp.imp sch.wide survey_s… statistic  Statistic   236.895
#> 4 comp.imp sch.wide survey_s…   p.value    p-value         0
#> 5 comp.imp sch.wide survey_s…    method     method Pearson'…
#> ℹ 3 more variables: fmt_fn, warning, error