sumvar (version 0.1)

dist_date: Summarize and visualize a date variable

Description

Summarises the minimum, maximum, median, and interquartile range of a date variable, optionally stratified by a grouping variable. Produces a histogram and (optionally) a density plot.

Usage

dist_date(data, var, by = NULL)

Value

A tibble with summary statistics for the date variable.

Arguments

data

A data frame or tibble.

var

The date variable to summarise.

by

Optional grouping variable.

See Also

dist_sum for continuous variables.

Examples

# Example ungrouped
df <- tibble::tibble(
  dt = as.Date("2020-01-01") + sample(0:1000, 100, TRUE)
)
dist_date(df, dt)

# Example grouped
df2 <- tibble::tibble(
  dt = as.Date("2020-01-01") + sample(0:1000, 100, TRUE),
  grp = sample(1:2, 100, TRUE)
)
dist_date(df2, dt, grp)
# Note this function accepts a pipe from dplyr eg. df %>% dist_date(date_var, group_var)