summarise_group_stats: Summarize Grouped Statistics

In tidySummaries: Tidy Statistical Summaries for Exploratory Data Analysis

Summarize Grouped Statistics

Description

Groups a data frame by one or more variables and summarizes the selected numeric columns using basic statistic functions. Handles missing values by replacement with zero or removal of rows.

Usage

summarise_group_stats(
  df,
  group_var,
  values,
  m_functions = c("mean", "sd", "length"),
  replace_na = FALSE,
  remove_na = FALSE
)

Arguments

df	A data frame or tibble containing the data.
group_var	A character vector of column names to group by.
values	A character vector of numeric column names to summarize.
m_functions	A character vector of functions to apply (e.g., "mean", "sd", "length"). Default is c("mean", "sd", "length").
replace_na	Logical. If TRUE, missing values in numeric columns are replaced with 0. Default is FALSE.
remove_na	Logical. If TRUE, rows with missing values in group or value columns are removed. Default is FALSE.

Value

A tibble with grouped and summarized results.

Examples

summarise_group_stats(iris, group_var = "Species",
 values = c("Sepal.Length", "Petal.Width"))
summarise_group_stats(mtcars, 
group_var = c("cyl", "gear"), 
values = c("mpg", "hp"), remove_na = TRUE)

tidySummaries documentation built on June 8, 2025, 11:35 a.m.