t1way | R Documentation |

The `t1way`

function computes a one-way ANOVA on trimmed means. Homoscedasticity assumption not required. It uses a generalization of Welch's method. Corresponding post hoc tests can be performed using `lincon`

.

```
t1way(formula, data, tr = 0.2, alpha = 0.05, nboot = 100, ...)
lincon(formula, data, tr = 0.2, alpha = 0.05, method = "hochberg", ...)
```

`formula` |
an object of class formula. |

`data` |
an optional data frame for the input data. |

`tr` |
trim level for the mean. |

`alpha` |
alpha level for CI computation. |

`nboot` |
number of bootstrap samples for effect size CI computation. |

`method` |
method to correct the p-value (see |

`...` |
currently ignored. |

In the post hoc computations, confidence intervals and p-values are adjusted to control FWE. The default for the p-values is to use Hochberg's 1988 sharper Bonferroni procedure.

`t1way`

returns an object of class `"t1way"`

containing:

`test` |
value of the test statistic (F-statistic) |

`df1` |
degrees of freedom |

`df2` |
degrees of freedom |

`p.value` |
p-value |

`effsize` |
explanatory measure of effect size |

`effsize_ci` |
boostrap effect size CI |

`call` |
function call |

`lincon`

returns an object of class `"mcp1"`

containing:

`comp` |
inference for all pairwise comparisons |

`fnames` |
names of the factor levels |

`linconv2`

returns an object of class `"linconv2"`

containing:

Wilcox, R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Elsevier.

`med1way`

,`t1waybt`

```
set.seed(123)
t1way(libido ~ dose, data = viagra)
## post hoc tests
lincon(libido ~ dose, data = viagra)
```

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