DiscriMiner (version 0.1-29)

betweenCov: Between-class Covariance Matrix

Description

Calculates between-class covariance matrix

Usage

betweenCov(variables, group, div_by_n = FALSE)

Arguments

variables

matrix or data frame with explanatory variables (No missing values are allowed)

group

vector or factor with group memberships (No missing values are allowed)

div_by_n

logical indicating division by number of observations

Details

When div_by_n=TRUE the covariance matrices are divided by n (number of observations), otherwise they are divided by n-1

See Also

getWithin, betweenSS, withinCov, totalCov

Examples

## Not run: 
# # load iris dataset
# data(iris)
# 
# # between-class covariance matrix (dividing by n-1)
# betweenCov(iris[,1:4], iris[,5])
# 
# # between-class covariance matrix (dividing by n)
# betweenCov(iris[,1:4], iris[,5], div_by_n=TRUE)
# ## End(Not run)

Run the code above in your browser using DataCamp Workspace