withinCov

0th

Percentile

Within-class Covariance Matrix

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

Aliases
  • withinCov
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)
Documentation reproduced from package DiscriMiner, version 0.1-29, License: GPL-3

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