mpos: Measures of position

In leem: Laboratory of Teaching to Statistics and Mathematics

Measures of position

Description

Compute all measures of position

Usage

mpos(
  x,
  trim = 0,
  na.rm = FALSE,
  rounding = 2,
  grouped = TRUE,
  details = FALSE,
  ...
)

Arguments

x	R object (list) of class leem. Use new_leem() function. Complex vectors are allowed for trim = 0, only.
trim	The fraction (0 to 0.5) of observations to be trimmed from each end of x before the mean is computed. Values of trim outside that range are taken as the nearest endpoint.
na.rm	a logical value indicating whether NA values should be stripped before the computation proceeds.
rounding	Numerical object. Rounds the values in its first argument to the specified number of decimal places (default 2).
grouped	Logical object. Determines whether the measure of position result will be based on grouped data or not (default TRUE).
details	Logical object. Details of data (default FALSE).
...	further arguments passed to or from other methods.

Details

The measures of position are: average, median and mode.

Examples

# Example 1: Poisson data
rpois(30, 2.5) |>
  new_leem() |>
  mpos()
# Example 2: Normal data
rnorm(50, 100, 2.5) |>
  new_leem(variable = 2) |>
  mpos(grouped = FALSE)

leem documentation built on April 3, 2025, 6:04 p.m.