dist_date {sumvar} | R Documentation |
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)
Arguments
data |
A data frame or tibble. |
var |
The date variable to summarise. |
by |
Optional grouping variable. |
Value
A tibble with summary statistics for the date 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)
[Package sumvar version 0.1 Index]