trimcibt | R Documentation |

Compute a 1-alpha confidence interval for the trimmed mean using a bootstrap percentile t method.

trimcibt(x, nv = 0, tr = 0.2, alpha = 0.05, nboot = 200, ...)

`x` |
a numeric vector. |

`nv` |
value under H0. |

`tr` |
trim level for the mean. |

`alpha` |
alpha level. |

`nboot` |
number of bootstrap samples. |

`...` |
currently ignored. |

Returns an object of class `"trimcibt"`

containing:

`ci` |
95% confidence interval |

`estimate` |
trimmed mean |

`p.value` |
p-value |

`test.stat` |
t-statistic |

`tr` |
trimming level |

`n` |
number of effective observations |

Wilcox, R. (2017). Introduction to Robust Estimation and Hypothesis Testing (4th ed.). Elsevier.

`onesampb`

set.seed(123) x <- rnorm(30) trimcibt(x, nboot = 100) ## H0: Psi = 0

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