pow | R Documentation |

Calculates the power of designs with blinded sample size recalculation or of fixed designs for one or several values of the nuisance parameter.

```
pow(design, n1, nuisance, recalculation, ...)
```

`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 |

`recalculation` |
Should the sample size be recalculated after n1 n1 patients are recruited? |

`...` |
Further optional arguments. |

The method is only vectorized in either `nuisance`

or `n1`

.

The method is implemented for the classes `Student`

,
`ChiSquare`

, and `FarringtonManning`

.

One power value 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)
pow(d, n1 = 20, nuisance = 5.5, recalculation = TRUE)
```

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.