tab {surveytable}

Tabulate variables

Description

Tabulate categorical (factor), logical, or numeric variables.

Usage

tab(
  ...,
  test = FALSE,
  alpha = 0.05,
  p_adjust = FALSE,
  drop_na = getOption("surveytable.drop_na"),
  max_levels = getOption("surveytable.max_levels"),
  csv = getOption("surveytable.csv")
)

Arguments

...

names of variables (in quotes)

test

perform hypothesis tests?

alpha

significance level for tests

p_adjust

adjust p-values for multiple comparisons?

drop_na

drop missing values (NA)? Categorical variables only.

max_levels

a categorical variable can have at most this many levels. Used to avoid printing huge tables.

csv

name of a CSV file

Details

For categorical and logical variables, presents the estimated counts, their standard errors (SEs) and confidence intervals (CIs), percentages, and their SEs and CIs. Checks the presentation guidelines for counts and percentages and flags estimates if, according to the guidelines, they should be suppressed, footnoted, or reviewed by an analyst.

For numeric variables, presents the percentage of observations with known values, the mean of known values, the standard error of the mean (SEM), and the standard deviation (SD).

CIs are calculated at the 95% confidence level. CIs for count estimates are the log Student's t CIs, with adaptations for complex surveys. CIs for percentage estimates are the Korn and Graubard CIs.

Value

A list of tables or a single table.

See Also

Other tables: tab_cross(), tab_rate(), tab_subset_rate(), total(), total_rate()

Examples

set_survey(namcs2019sv)
tab("AGER")
tab("MDDO", "SPECCAT", "MSA")

# Numeric variables
tab("NUMMED")

# Hypothesis testing with categorical variables
tab("AGER", test = TRUE)