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

View source: R/ggConfidenceCurve.R

Confidence curves are a way to show the confidence in an estimate computed from sample data. They are useful because they show all confidence levels simultaneously, thereby giving a good sense of the accuracy of the estimate, without forcing the researchers to make a more or less arbitrary choice for one confidence level.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 |

`metric` |
The metric, currently only 'd' (Cohen's |

`value` |
The value for which to create the confidence curve plot. |

`n` |
The sample size for which to create the confidence curve plot. If |

`conf.level` |
The confidence level for which to create the confidence curve plot. If |

`wRange` |
The range of 'half-widths', or margins of error, to plot in the confidence curve plot if no sample size is specified (if |

`curveSize` |
The line size of the confidence curve line. |

`curveColor` |
The color of the confidence curve line. |

`confRange` |
The range of confidence levels to plot. |

`confLines` |
If a traditional confidence curve is generated, lines can be added to indicate the metric values corresponding to the lower and upper confidence interval bounds. |

`confLineColor` |
If confidence lines are added (see |

`confLineSize` |
If confidence lines are added (see |

`xlab` |
The label on the x axis. |

`steps` |
The number of steps to use when generating the data for the confidence curves' more steps yield prettier, smoother curves, but take more time. |

`theme` |
The |

A `ggplot2`

plot.

Gjalt-Jorn Peters

Maintainer: Gjalt-Jorn Peters <gjalt-jorn@userfriendlyscience.com>

Bender, R., Berg, G., & Zeeb, H. (2005). Tutorial: Using confidence curves in medical research. *Biometrical Journal*, 47(2), 237-247. http://doi.org/10.1002/bimj.200410104

Birnbaum, A. (1961). Confidence curves: An omnibus technique for estimation and testing statistical hypotheses. *Journal of the American Statistical Association*, 56(294), 246-249. http://doi.org/10.1080/01621459.1961.10482107

`cohensdCI`

, `pwr.cohensdCI`

, `confIntR`

, `pwr.confIntR`

1 2 | ```
ggConfidenceCurve(metric='d', value = .5, n = 128);
ggConfidenceCurve(metric='d', value = .5, conf.level = .95);
``` |

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