summarize.: Aggregate data using summary statistics

In tidytable: Tidy Interface to 'data.table'

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 = TRUE,
  .groups = "drop_last",
  .unpack = 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: Default TRUE. If FALSE the original order of the grouping variables will be preserved.
.groups	Grouping structure of the result "drop_last": Drop the last level of grouping "drop": Drop all groups "keep": Keep all groups
.unpack	experimental: Default FALSE. Should unnamed data frame inputs be unpacked. The user must opt in to this option as it can lead to a reduction in performance.

Examples

df <- data.table(
  a = 1:3,
  b = 4:6,
  c = c("a", "a", "b"),
  d = c("a", "a", "b")
)

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

df %>%
  summarize(avg_a = mean(a),
            .by = c(c, d))

tidytable documentation built on Oct. 5, 2023, 5:07 p.m.