Measures of position — mpos • leem

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()
#> $average
#> [1] 2.1
#> 
#> $median
#> [1] 2
#> 
#> $mode
#> [1] 2
#> 
# Example 2: Normal data
rnorm(50, 100, 2.5) |>
  new_leem(variable = 2) |>
  mpos(grouped = FALSE)
#> $average
#> [1] 99.71
#> 
#> $median
#> [1] 99.35
#> 
#> $mode
#> [1] "The data set has no mode!"
#>