Normal-class | R Documentation |

Implements a normal data distribution for z-values given an observed z-value
and stage size.
Standard deviation is 1 and mean θ √n where
θ is the standardized effect size.
The option `two_armed`

can be set to decide whether a one-arm or a
two-arm design should be computed.

```
Normal(two_armed = TRUE)
## S4 method for signature 'Normal'
quantile(x, probs, n, theta, ...)
## S4 method for signature 'Normal,numeric'
simulate(object, nsim, n, theta, seed = NULL, ...)
```

`two_armed` |
logical indicating if a two-armed trial is regarded |

`x` |
outcome |

`probs` |
vector of probabilities |

`n` |
sample size |

`theta` |
distribution parameter |

`...` |
further optional arguments |

`object` |
object of class |

`nsim` |
number of simulation runs |

`seed` |
random seed |

See `DataDistribution-class`

for more details.

see `probability_density_function`

and
`cumulative_distribution_function`

to evaluate the pdf
and the cdf, respectively.

```
datadist <- Normal(two_armed = 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.