Description Usage Arguments Value Author(s)

This is an auxiliary function. It calculates the sample size , simulated type I error rate and the simulated power of a fixed-sample design. The originally planned sample size is calculated on the basis of an assumed standard deviation. A distinction is made between one-sided and two-sided tests. The test statistic is compared to the quantiles of the t-distribution.

1 2 | ```
fix_sample_pow(sd_ber, delta = 0, Delta, sd, test = 1, alpha = 0.05, beta = 0.2,
simu = 10000)
``` |

`sd_ber` |
Vector of numbers. Interval of an area for the actual standard deviation in the data. |

`delta` |
Number. Expectation difference of two samples. |

`Delta` |
Number. Relevant difference of expected values in the alternative hypothesis. |

`sd` |
Number. Assumed standard deviation of the data. |

`test` |
Number. What type of hypothesis test should be performed, one-sided (Superiority/ |

`alpha` |
Number. Desired alpha-level of the test. |

`beta` |
Number. Acceptable beta error of the test. |

`simu` |
Number. How many simulations should be performed? |

This function only creates the sample size, type I error rate and Power values for multiple actual
standard deviation values.

The output is used in the function sample_pow to visualize the sample size, the type I error rate and
the power.

Csilla van Lunteren

@seealso
`fix_calc`

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.