Description Usage Arguments Details Value References Examples

Tukey's HSD post hoc test is a modified t-test applied for all features to all pairs of levels in a factor. It is used to determine which groups are different (if any). A multiple test corrected p-value is computed to indicate which groups are significantly different to the others for each feature.

1 |

`alpha` |
(numeric) The p-value cutoff for determining significance. The default is |

`mtc` |
(character) Multiple test correction method. Allowed values are limited to the following: `"bonferroni"` : Bonferroni correction in which the p-values are multiplied by the number of comparisons.`"fdr"` : Benjamini and Hochberg False Discovery Rate correction.`"none"` : No correction.
The default is |

`formula` |
(formula) A symbolic description of the model to be fitted. |

`unbalanced` |
(logical) Unbalanced model. Allowed values are limited to the following: `"TRUE"` : A correction is applied for unbalanced designs.`"FALSE"` : No correction is applied for unbalanced designs.
The default is |

`...` |
Additional slots and values passed to |

This object makes use of functionality from the following packages:

`agricolae`

A `HSD`

object.

de Mendiburu F (2020).
*agricolae: Statistical Procedures for Agricultural Research*.
R package version 1.3-3, https://CRAN.R-project.org/package=agricolae.

1 2 3 | ```
D = iris_DatasetExperiment()
M = HSD(formula=y~Species)
M = model_apply(M,D)
``` |

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