mcovs: Calculate sample means and covariance(s) of multivariate data

In grt: General Recognition Theory

Description

Calculate sample means and covariance(s) of multivariate data

Usage

## Default S3 method:
mcovs(x, grouping, pooled=TRUE, ...)

## S3 method for class 'formula'
mcovs(formula, data, pooled=TRUE, ...)

Arguments

formula	A formula in the form of grouping ~ x1 + x2 + ..., where the right hand side specifies the sample variables.
data	Data frame from which variables specified in formula are taken.
x	data frame or Matrix containing sample values.
grouping	a factor specifying the population to which the samples in x belong.
pooled	logical. If TRUE, pooled variance-covariance matrix is calculated. If FALSE, a list of variance-covariance matrices for each groups are calculated. Default to TRUE.
...	further arguments

Value

A list containing:

N	total number of samples.
counts	number of samples per groups.
lev	levels of the grouping factor
means	a named list of vectors specifying the means for each group. Named according to lev.
covs	a named list of variance-covarinace matrix(es). Named as pooled if pooled=TRUE, otherwise according to lev.

grt documentation built on May 2, 2019, 7:10 a.m.