data_summary: Summarize data

In easystats/datawizard: Easy Data Wrangling and Statistical Transformations

Summarize data

Description

This function can be used to compute summary statistics for a data frame or a matrix.

Usage

data_summary(x, ...)

## S3 method for class 'data.frame'
data_summary(x, ..., by = NULL, remove_na = FALSE)

Arguments

x	A (grouped) data frame.
...	One or more named expressions that define the new variable name and the function to compute the summary statistic. Example: mean_sepal_width = mean(Sepal.Width). The expression can also be provided as a character string, e.g. "mean_sepal_width = mean(Sepal.Width)". The summary function n() can be used to count the number of observations.
by	Optional character string, indicating the names of one or more variables in the data frame. If supplied, the data will be split by these variables and summary statistics will be computed for each group.
remove_na	Logical. If TRUE, missing values are omitted from the grouping variable. If FALSE (default), missing values are included as a level in the grouping variable.

Value

A data frame with the requested summary statistics.

Examples

data(iris)
data_summary(iris, MW = mean(Sepal.Width), SD = sd(Sepal.Width))
data_summary(
  iris,
  MW = mean(Sepal.Width),
  SD = sd(Sepal.Width),
  by = "Species"
)

# same as
d <- data_group(iris, "Species")
data_summary(d, MW = mean(Sepal.Width), SD = sd(Sepal.Width))

# multiple groups
data(mtcars)
data_summary(mtcars, MW = mean(mpg), SD = sd(mpg), by = c("am", "gear"))

# expressions can also be supplied as character strings
data_summary(mtcars, "MW = mean(mpg)", "SD = sd(mpg)", by = c("am", "gear"))

# count observations within groups
data_summary(mtcars, observations = n(), by = c("am", "gear"))

# first and last observations of "mpg" within groups
data_summary(
  mtcars,
  first = mpg[1],
  last = mpg[length(mpg)],
  by = c("am", "gear")
)

easystats/datawizard documentation built on April 17, 2025, 5:32 a.m.