DiscriMiner (version 0.1-29)

withinCov: Within-class Covariance Matrix

Description

Calculates the within-class covariance matrix

Usage

withinCov(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

withinSS, betweenCov, totalCov

Examples

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

Run the code above in your browser using DataCamp Workspace