generalized_mean: Generalized mean

In vdar: Discriminant Analysis Incorporating Individual Uncertainties

Description

Calculates the generalized mean of a data set by using a given group variance and individual, observation-wise variances for each observation of the data set

Usage

generalized_mean(x, ...)

## Default S3 method:
generalized_mean(
  x,
  var,
  individual_var = matrix(0, nrow = nrow(x), ncol = ncol(x)),
  ...
)

## S3 method for class 'rmult'
generalized_mean(
  x,
  var,
  individual_var = matrix(0, nrow = nrow(x), ncol = ncol(x)^2),
  ...
)

Arguments

x	a matrix containing the data for which the mean should be calculated
...	not implemented
var	a matrix containing the corrected (estimated true) group variances
individual_var	a matrix containing individual variances. Default is a 0 - matrix with the dimensions of x, can be used for implementing the individual uncertainties

Value

vector of lenght of ncol(x) of generalized means

Methods (by class)

• default: for class matrix or data.frame

• rmult: for class rmult of package 'compositions'

Author(s)

Solveig Pospiech, K. Gerald v.d. Boogaart

vdar documentation built on Jan. 5, 2022, 1:07 a.m.