
ARD Dichotomous Survey Statistics
Source:R/ard_tabulate_value.survey.design.R
ard_tabulate_value.survey.design.RdCompute Analysis Results Data (ARD) for dichotomous summary statistics.
Usage
# S3 method for class 'survey.design'
ard_tabulate_value(
data,
variables,
by = NULL,
value = cards::maximum_variable_value(data$variables[variables]),
statistic = everything() ~ c("n", "N", "p", "p.std.error", "n_unweighted",
"N_unweighted", "p_unweighted"),
denominator = c("column", "row", "cell"),
fmt_fun = NULL,
stat_label = everything() ~ list(p = "%", p.std.error = "SE(%)", deff =
"Design Effect", n_unweighted = "Unweighted n", N_unweighted = "Unweighted N",
p_unweighted = "Unweighted %"),
fmt_fn = deprecated(),
...
)Arguments
- data
(
survey.design)
a design object often created withsurvey::svydesign().- variables
(
tidy-select)
columns to include in summaries.- by
(
tidy-select)
results are calculated for all combinations of the column specified and the variables. A single column may be specified.- value
(named
list)
named list of dichotomous values to tabulate. Default iscards::maximum_variable_value(data$variables), which returns the largest/last value after a sort.- statistic
(
formula-list-selector)
a named list, a list of formulas, or a single formula where the list element is a character vector of statistic names to include. See default value for options.- denominator
(
string)
a string indicating the type proportions to calculate. Must be one of"column"(the default),"row", and"cell".- fmt_fun
(
formula-list-selector)
a named list, a list of formulas, or a single formula where the list element is a named list of functions (or the RHS of a formula), e.g.list(mpg = list(mean = \(x) round(x, digits = 2) |> as.character())).- stat_label
(
formula-list-selector)
a named list, a list of formulas, or a single formula where the list element is either a named list or a list of formulas defining the statistic labels, e.g.everything() ~ list(mean = "Mean", sd = "SD")oreverything() ~ list(mean ~ "Mean", sd ~ "SD").- fmt_fn
- ...
These dots are for future extensions and must be empty.
Examples
survey::svydesign(ids = ~1, data = mtcars, weights = ~1) |>
ard_tabulate_value(by = vs, variables = c(cyl, am), value = list(cyl = 4))
#> # An ARD data frame: 28 × 11
#> group1 group1_level variable variable_level context stat_name stat
#> <chr> <list> <chr> <list> <chr> <chr> <list>
#> 1 vs 0 cyl 4 dichotomous n 1
#> 2 vs 0 cyl 4 dichotomous N 18
#> 3 vs 0 cyl 4 dichotomous p 0.0556
#> 4 vs 0 cyl 4 dichotomous p.std.error 0.0549
#> 5 vs 0 am 1 dichotomous n 6
#> 6 vs 0 am 1 dichotomous N 18
#> 7 vs 0 am 1 dichotomous p 0.333
#> 8 vs 0 am 1 dichotomous p.std.error 0.113
#> 9 vs 0 cyl 4 dichotomous n_unweighted 1
#> 10 vs 0 cyl 4 dichotomous N_unweighted 18
#> # ℹ 18 more rows
#> # ℹ 4 more variables: stat_label <chr>, fmt_fun <list>, warning <list>,
#> # error <list>