count_data: Count the number of observations

In tidystats: Save Output of Statistical Tests

Count the number of observations

Description

count_data() returns the number and proportion of observations for categorical variables.

Usage

count_data(data, ..., na.rm = FALSE, pct = FALSE)

Arguments

data	A data frame.
...	One or more unquoted (categorical) column names from the data frame, separated by commas.
na.rm	A boolean specifying whether missing values (including NaN) should be removed.
pct	A boolean indicating whether to calculate percentages instead of proportions. The default is FALSE.

Details

The data frame can be grouped using dplyr::group_by() so that the number of observations will be calculated within each group level.

Examples

count_data(quote_source, source)
count_data(quote_source, source, sex)
count_data(quote_source, source, sex, na.rm = TRUE)
count_data(quote_source, source, sex, na.rm = TRUE, pct = TRUE)

# Use dplyr::group_by() to calculate proportions within a group
quote_source |>
  dplyr::group_by(source) |>
  count_data(sex)

tidystats documentation built on Oct. 17, 2023, 1:06 a.m.