# withinCov

From DiscriMiner v0.1-29
by Gaston Sanchez

##### 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

##### 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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