Description Usage Arguments Value Author(s) Examples

Compute the sample size needed for a calibration study assuming that the coefficients of the variation of measurements are constants.

1 | ```
samplesize(x0, d0, x=seq(20, 200, length=1000), CVx, CVy)
``` |

`x0` |
The x-value you plan to calibrate with the estimated calibration equation |

`d0` |
The required length of the 95% confidence interval of the calibrated x-value based on the estimated calibration equation. The narrow confidence interval require a large sample size. |

`x` |
The empirical observations of the target distribution from which $x$-values will be drawn in the planned study. |

`CVx` |
The underlying coefficient of variation of measurement $x$ |

`CVy` |
The underlying coefficient of variation of measurement $y$ |

`size` |
The sample size needed for estimating the calibration equation based on (1) CVx only; (2) CVy only; (3) both CVx and CVy; and (4) the ratio of CVy^2/CVx^2. |

Lu Tian, He Qi

1 | ```
samplesize(40, 10, x=seq(10, 200, length=1000), CVx=0.1, CVy=0.05)
``` |

```
$size
CV of X only CV of Y only CV of both X and Y CVy/CVx
[1,] 23 18 18 18
```

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