distribution_mode {datawizard} | R Documentation |
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))
[Package datawizard version 0.12.2 Index]