ARD Categorical Survey Statistics

Compute tabulations on survey-weighted data.

The counts and proportion ("N", "n", "p") are calculated using survey::svytable(), and the standard errors and design effect ("p.std.error", "deff") are calculated using survey::svymean().

The unweighted statistics are calculated with cards::ard_categorical.data.frame().

# S3 method for class 'survey.design'
ard_categorical(
  data,
  variables,
  by = NULL,
  statistic = everything() ~ c("n", "N", "p", "p.std.error", "deff", "n_unweighted",
    "N_unweighted", "p_unweighted"),
  denominator = c("column", "row", "cell"),
  fmt_fn = NULL,
  stat_label = everything() ~ list(p = "%", p.std.error = "SE(%)", deff =
    "Design Effect", n_unweighted = "Unweighted n", N_unweighted = "Unweighted N",
    p_unweighted = "Unweighted %"),
  ...
)

Arguments

data

(survey.design)
a design object often created with survey::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.

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_fn

(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") or everything() ~ list(mean ~ "Mean", sd ~ "SD").

...

These dots are for future extensions and must be empty.

Value

an ARD data frame of class 'card'

Examples

svy_titanic <- survey::svydesign(~1, data = as.data.frame(Titanic), weights = ~Freq)

ard_categorical(svy_titanic, variables = c(Class, Age), by = Survived)
#> {cards} data frame: 96 x 11
#>      group1 group1_level variable variable_level   stat_name stat_label  stat
#> 1  Survived           No    Class            1st           n          n   122
#> 2  Survived           No    Class            1st           N          N  1490
#> 3  Survived           No    Class            1st           p          % 0.082
#> 4  Survived           No    Class            1st p.std.error      SE(%) 0.086
#> 5  Survived           No    Class            1st        deff  Design E… 0.896
#> 6  Survived           No    Class            2nd           n          n   167
#> 7  Survived           No    Class            2nd           N          N  1490
#> 8  Survived           No    Class            2nd           p          % 0.112
#> 9  Survived           No    Class            2nd p.std.error      SE(%) 0.111
#> 10 Survived           No    Class            2nd        deff  Design E… 1.128
#> ℹ 86 more rows
#> ℹ Use `print(n = ...)` to see more rows
#> ℹ 4 more variables: context, fmt_fn, warning, error