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

The data consist of b-blocks mutually independent k-variate random variables Xij, i=1,..,b; j=1,..k. The random variable X is in block i and is associated with treatment j. It makes the multiple comparison of the Friedman test with or without ties. A first result is obtained by friedman.test of R.

1 |

`judge` |
Identification of the judge in the evaluation |

`trt` |
Treatment |

`evaluation` |
Variable |

`alpha` |
Significant test |

`group` |
TRUE or FALSE |

`main` |
Title |

`console` |
logical, print output |

The post hoc friedman test is using the criterium Fisher's least significant difference (LSD)

`statistics` |
Statistics of the model |

`parameters` |
Design parameters |

`means` |
Statistical summary of the study variable |

`comparison` |
Comparison between treatments |

`groups` |
Formation of treatment groups |

Felipe de Mendiburu

Practical Nonparametrics Statistics. W.J. Conover, 1999

`BIB.test`

, `DAU.test`

, `duncan.test`

,
`durbin.test`

, `HSD.test`

, `kruskal`

,
`LSD.test`

, `Median.test`

, `PBIB.test`

,
`REGW.test`

, `scheffe.test`

, `SNK.test`

,
`waerden.test`

, `waller.test`

, `plot.group`

1 2 3 4 5 6 7 |

```
Study: Data of the book of Conover
trt, Sum of the ranks
evaluation r
t1 38.0 12
t2 23.5 12
t3 24.5 12
t4 34.0 12
Friedman's Test
===============
Adjusted for ties
Critical Value: 8.097345
P.Value Chisq: 0.04404214
F Value: 3.192198
P.Value F: 0.03621547
Post Hoc Analysis
Alpha: 0.05 ; DF Error: 33
t-Student: 2.034515
LSD: 11.48168
Treatments with the same letter are not significantly different.
Sum of ranks groups
t1 38.0 a
t4 34.0 ab
t3 24.5 b
t2 23.5 b
```

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