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

View source: R/permutationtest.R

Perform permutation tests for differences between two groups at given within-subject levels in a long-formatted dataframe

1 2 3 4 5 6 7 8 9 10 |

`data` |
dataframe that contains the data in long format. |

`outcome` |
outcome variable (i.e., the variable for which the difference should be tested). |

`within` |
within-subject variable. |

`between` |
between-subjects variable. |

`at.within` |
determine for which within-subject levels (e.g., which timepoint) the difference should be tested. |

`at.between` |
determine the groups in the difference test (should always be of length 2). |

`pn` |
the number of permutations that should be performed. |

`progress.bar` |
indicates whether a progress bar will be shown. |

In every permutation cycle, the outcome variable gets permutated and the Welch t test statistic is calculated.

`ptest`

produces an object of class `"clusbootptest"`

, containing the following relevant components:

`perm.statistics` |
A matrix of |

`pvalues` |
Data frame containing the p values for every |

Mathijs Deen, Mark de Rooij

A useful method for the obtained `clusbootptest`

class object is `plot.clusbootptest`

.

1 2 3 4 5 6 7 | ```
## Not run:
medication <- medication[medication$time %% 1 == 0,]
set.seed(1)
permtest.1 <- ptest(data = meds, outcome = pos, within = time, between = treat,
at.within = c(0,2,4,6), at.between = c(0,1), pn = 2000)
permtest.1$pvalues
## End(Not run)
``` |

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