distribution_mode: Compute mode for a statistical distribution

In datawizard: Easy Data Wrangling and Statistical Transformations

Compute mode for a statistical distribution

Description

Compute mode for a statistical distribution

Usage

distribution_mode(x)

Arguments

x	An atomic vector, a list, or a data frame.

Value

The value that appears most frequently in the provided data. The returned data structure will be the same as the entered one.

See Also

For continuous variables, the Highest Maximum a Posteriori probability estimate (MAP) may be a more useful way to estimate the most commonly-observed value than the mode. See bayestestR::map_estimate().

Examples

distribution_mode(c(1, 2, 3, 3, 4, 5))
distribution_mode(c(1.5, 2.3, 3.7, 3.7, 4.0, 5))

datawizard documentation built on Oct. 6, 2024, 1:08 a.m.