n_dist | R Documentation |

Calculates the distribution of the total sample sizes of designs with blinded sample size recalculation for different values of the nuisance parameter or of n1.

```
n_dist(design, n1, nuisance, summary = TRUE, plot = FALSE, ...)
```

`design` |
object of class |

`n1` |
total number of patients that are recruited before the sample size is recalculated |

`nuisance` |
nuisance parameter that is estimated at the interim analysis |

`summary` |
logical - is a summary of the sample size distribution desired? Otherwise, a vector with sample sizes is returned. |

`plot` |
Should a plot of the sample size distribution be drawn? |

`...` |
Further optional arguments. |

The method is only vectorized in either `nuisance`

or `n1`

.

The method is implemented for the classes `Student`

,
`ChiSquare`

, and `FarringtonManning`

.

Summary and/or plot of the sample size distribution for every nuisance parameter and every value of n1.

```
d <- setupStudent(alpha = .025, beta = .2, r = 1, delta = 3.5, delta_NI = 0,
alternative = "greater", n_max = 156)
n_dist(d, n1 = 20, nuisance = 5.5, summary = TRUE, plot = FALSE, seed = 2020)
```

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