Description Usage Arguments Value Author(s) References See Also Examples

This function performs sample size computation for the one-sample and two-sample test for proportions based on precision requirements (i.e., type-I-risk, type-II-risk and an effect size).

1 2 3 |

`pi` |
a number indicating the true value of the probability under the null hypothesis (one-sample test), |

`delta` |
minimum difference to be detected, |

`sample` |
a character string specifying one- or two-sample proportion test, must be one of "two.sample" (default) or "one.sample". |

`alternative` |
a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "less" or "greater". |

`alpha` |
type-I-risk, |

`beta` |
type-II-risk, |

`correct` |
a logical indicating whether continuity correction should be applied. |

`output` |
logical: if |

Returns an object of class `size`

with following entries:

`call` | function call |

`type` | type of the test (i.e., proportion) |

`spec` | specification of function arguments |

`res` | list with the result, i.e., optimal sample size |

Takuya Yanagida [email protected],

Fleiss, J. L., Levin, B., & Paik, M. C. (2003). *Statistical methods for rates and proportions* (3rd ed.).
New York: John Wiley & Sons.

Rasch, D., Kubinger, K. D., & Yanagida, T. (2011). *Statistics in psychology - Using R and SPSS*.
New York: John Wiley & Sons.

Rasch, D., Pilz, J., Verdooren, L. R., & Gebhardt, G. (2011).
*Optimal experimental design with R*. Boca Raton: Chapman & Hall/CRC.

`seqtest.prop`

, `size.mean`

, `size.cor`

, `print.size`

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | ```
#--------------------------------------
# Two-sided one-sample test
# H0: pi = 0.5, H1: pi != 0.5
# alpha = 0.05, beta = 0.2, delta = 0.2
size.prop(pi = 0.5, delta = 0.2, sample = "one.sample",
alternative = "two.sided", alpha = 0.05, beta = 0.2)
#--------------------------------------
# One-sided one-sample test
# H0: pi <= 0.5, H1: pi > 0.5
# alpha = 0.05, beta = 0.2, delta = 0.2
size.prop(pi = 0.5, delta = 0.2, sample = "one.sample",
alternative = "less", alpha = 0.05, beta = 0.2)
#--------------------------------------
# Two-sided two-sample test
# H0: pi.1 = pi.2 = 0.5, H1: pi.1 != pi.2
# alpha = 0.01, beta = 0.1, delta = 0.2
size.prop(pi = 0.5, delta = 0.2, sample = "two.sample",
alternative = "two.sided", alpha = 0.01, beta = 0.1)
#--------------------------------------
# One-sided two-sample test
# H0: pi.1 <= pi.1 = 0.5, H1: pi.1 > pi.2
# alpha = 0.01, beta = 0.1, delta = 0.2
size.prop(pi = 0.5, delta = 0.2, sample = "two.sample",
alternative = "greater", alpha = 0.01, beta = 0.1)
``` |

seqtest documentation built on May 29, 2017, 6:52 p.m.

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