# Calculate the number of grains required to achieve a desired level of sampling resolution

### Description

Returns the number of grains that need to be analysed to decrease the likelihood of missing any fraction greater than a given size below a given level.

### Usage

1 | ```
get.n(p = 0.05, f = 0.05)
``` |

### Arguments

`p` |
the probability that all n grains in the sample have missed at least one fraction of size f |

`f` |
the size of the smallest resolvable fraction (0<f<1) |

`n, ` |
the number of grains in the sample |

### Value

the number of grains needed to reduce the chance of missing at least one fraction f of the total population to less than p

### References

Vermeesch, Pieter. "How many grains are needed for a provenance study?." Earth and Planetary Science Letters 224.3 (2004): 441-451.

### Examples

1 2 3 4 |

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