# totalCov

From DiscriMiner v0.1-29
by Gaston Sanchez

##### Total Covariance Matrix

Calculates total covariance matrix

##### Usage

`totalCov(variables, div_by_n = FALSE)`

##### Arguments

- variables
- matrix or data frame with explanatory variables (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)
#
# # total covariance matrix (dividing by n-1)
# totalCov(iris[,1:4])
#
# # total covariance matrix (dividing by n)
# totalCov(iris[,1:4], div_by_n=TRUE)
# ## End(Not run)
```

*Documentation reproduced from package DiscriMiner, version 0.1-29, License: GPL-3*

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