betweenCov: Between-class Covariance Matrix
In gastonstat/DiscriMiner: Tools of the Trade for Discriminant Analysis

Description Usage Arguments Details Author(s) See Also Examples

Calculates between-class covariance matrix

1	betweenCov(variables, group, div_by_n = FALSE)

`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

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

Gaston Sanchez

getWithin, betweenSS, withinCov, totalCov

## 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)