This function is an extension of dplyr::count. Counts are produced for
unique combinations of grouping variables; optionally includes proportions,
percentages, and cumulative counts. If any n_distinct_vars are
provided, counts of the unique values are produced for each.
Usage
cnt(
.data,
...,
n_distinct_vars = NULL,
n_distinct_combined = TRUE,
n_cumulative = TRUE,
prop = FALSE,
pct = FALSE
)Arguments
- .data
data frame.
- ...
variables to group by.
- n_distinct_vars
variables to count the unique values of.
- n_distinct_combined
logical indicating whether to count the unique values of the combinations of
n_distinct_vars.- n_cumulative
logical indicating whether to include a cumulative sum variable named "n_cumulative".
- prop
logical indicating whether to include a proportion variable named "prop".
- pct
logical indicating whether to include a percentage variable named "pct".
Examples
# count unique values of `am` along with the number of distinct values of
# `carb`, `cyl`, and their combination.
mtcars %>%
cnt(am, n_distinct_vars = c(carb, cyl))
#> # A tibble: 2 × 6
#> am n_carb n_cyl n_carb_cyl n n_cumulative
#> <dbl> <int> <int> <int> <int> <int>
#> 1 0 4 3 7 19 19
#> 2 1 5 3 6 13 32