n_fix,ChiSquare-method {blindrecalc} | R Documentation |

## Fixed Sample Size

### Description

Returns the sample size of a fixed design without sample size recalculation.

### Usage

```
## S4 method for signature 'ChiSquare'
n_fix(
design,
nuisance,
variance = c("heterogeneous", "homogeneous"),
rounded = TRUE,
...
)
```

### Arguments

`design` |
Object of class |

`nuisance` |
Value of the nuisance parameter. For the Chi-Squared test this is the overall response rate. |

`variance` |
A character string indicating whether the " |

`rounded` |
Whether the calculated sample size should be rounded up such that the allocation ratio is preserved. |

`...` |
Further optional arguments. |

### Details

The method is only vectorized in either `nuisance`

or `n1`

.

### Value

One value of the fixed sample size for every nuisance parameter and every value of n1.

### Examples

```
design1 <- setupChiSquare(alpha = 0.025, beta = 0.2, r = 1, delta = 0.2)
n_fix(design1, nuisance = c(0.2, 0.3))
```

[Package

*blindrecalc*version 1.0.1 Index]