Description Usage Arguments Details Author(s) See Also Examples

Given a fixed researcher effort (e.g., total number of assays able to be run), this function plots the optimum `k`

measurements per individual to use in order to obtain the smallest confidence interval at an expected intraclass correlation coefficient (ICC) estimate. The results are depicted graphically, showing the tradeoff in confidence interval width with changing `k`

.

1 2 |

`est.type` |
character string of either |

`e` |
the total effort ( |

`ICC` |
expected intraclass correlation coefficient |

`x` |
column name of |

`y` |
column name of |

`data` |
a |

`alpha` |
the alpha level to use when estimating the confidence interval |

More than one `e`

may be given. In this case, the graphical result portrays multiple lines - each representing a different `e`

When `est.type="pilot"`

, the function automatically generates an effort 10 percent larger and smaller than the calculated effort from the pilot data.

Matthew Wolak [email protected]

1 2 3 4 5 6 | ```
#Example 1
effort(est.type="h", e=c(30, 60, 120), ICC=0.2)
#Example 2
data(ChickWeight)
effort(est.type="p", x=Chick, y=weight, data=ChickWeight)
``` |

ICC documentation built on May 31, 2017, 3:39 a.m.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.