Compute mode for a statistical distribution — distribution_mode • datawizard

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))
#> [1] 3
distribution_mode(c(1.5, 2.3, 3.7, 3.7, 4.0, 5))
#> [1] 3.7