Description Usage Arguments Details Value Author(s) See Also Examples

Performs a Cochran's test of the null hypothesis that the largest variance in several sampled variances are the same.

1 | ```
C.test(object)
``` |

`object` |
An object of class lm, containing the specified design. |

The test statistic is a ratio that relates the largest variance to the sum of the sampled variances.

A list of class htest containing the following components:

`statistic` |
Cochran's C test statistic |

`p-value` |
The p-value of the test |

`alternative` |
A character string describing the alternative hypothesis |

`method` |
The character string Cochran test of homogeneity of variances |

`data.name` |
A character string giving the name of the lm object |

`estimate` |
Sample estimates of variances |

Leonardo Sandrini-Neto (leonardosandrini@gmail.com)

1 2 3 4 5 6 |

```
Loading required package: matrixStats
Loading required package: R.methodsS3
R.methodsS3 v1.7.1 (2016-02-15) successfully loaded. See ?R.methodsS3 for help.
Cochran test of homogeneity of variances
data: model
C = 0.30762, n = 2, k = 12, p-value = 0.5899
alternative hypothesis: Group cage1.m2 has outlying variance
sample estimates:
cage1.m1 cage1.m2 cage1.m3 cage1.m4 cage2.m1 cage2.m2 cage2.m3 cage2.m4
0.500 4.805 0.080 1.620 0.000 1.125 0.980 2.000
cage3.m1 cage3.m2 cage3.m3 cage3.m4
0.405 0.980 0.245 2.880
```

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