CVCL | R Documentation |

The function calculates the 1–α confidence limits
(either 1-sided or 2-sided) via the χ^{2}
distribution of the error variance the CV is based on.

CVCL(CV, df, side = c("upper", "lower", "2-sided"), alpha = 0.05)

`CV` |
Coefficient of variation as ratio (not percent) |

`df` |
degrees of freedom of the CV (error variance) |

`side` |
Side(s) to calculate the confidence limits for, defaults to |

`alpha` |
Type I error probability, aka significance level |

Numeric vector of the confidence limits named as `lower CL`

and `upper CL`

.

In case of the one-sided upper confidence limit the `lower CL`

is = 0.

In case of the one-sided lower confidence limit the `upper CL`

is = Inf.

D. Labes

# upper one-sided 95% CL of a CV=0.3 # from a study with df=22 (f.i. a 2x2 crossover with n=24) # default side="upper" since not explicitly given CVCL(0.3, df = 22) # should give: # lower CL upper CL # 0.0000000 0.4075525

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