Bcov | R Documentation |

`Bcov`

function tests whether the covariance matrix is equal to a
given matrix or not.

```
Bcov(data, Sigma)
```

`data` |
a data frame. |

`Sigma` |
The covariance matrix in NULL hypothesis. |

This function computes Bartlett's test statistic for the covariance matrix of one sample.

a list with 3 elements:

`ChiSquare` |
The value of Test Statistic |

`df` |
The Chi-Square statistic's degree of freedom |

`p.value` |
p value |

Hasan BULUT <hasan.bulut@omu.edu.tr>

Rencher, A. C. (2003). Methods of multivariate analysis (Vol. 492). John Wiley & Sons.

```
data(iris)
S<-matrix(c(5.71,-0.8,-0.6,-0.5,-0.8,4.09,-0.74,-0.54,-0.6,
-0.74,7.38,-0.18,-0.5,-0.54,-0.18,8.33),ncol=4,nrow=4)
result <- Bcov(data=iris[,1:4],Sigma=S)
summary(result)
```

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.