tidytable (version 0.6.2)

summarize.: Aggregate data using summary statistics

Description

Aggregate data using summary statistics such as mean or median. Can be calculated by group.

Usage

summarize.(.df, ..., .by = NULL, .sort = FALSE)
summarise.(.df, ..., .by = NULL, .sort = FALSE)

Arguments

.df

A data.frame or data.table

...

Aggregations to perform

.by

Columns to group by.

• A single column can be passed with .by = d.

• Multiple columns can be passed with .by = c(c, d)

• tidyselect can be used:

  • Single predicate: .by = where(is.character)

  • Multiple predicates: .by = c(where(is.character), where(is.factor))

  • A combination of predicates and column names: .by = c(where(is.character), b)

.sort

experimental: Should the resulting data.table be sorted by the grouping columns?

Examples

# NOT RUN {
test_df <- data.table(
  a = 1:3,
  b = 4:6,
  c = c("a","a","b"),
  d = c("a","a","b")
)

test_df %>%
  summarize.(avg_a = mean(a),
             max_b = max(b),
             .by = c)

test_df %>%
  summarize.(avg_a = mean(a),
             .by = c(c, d))
# }