samplingSubsetData {cati} | R Documentation |

## Sampling subset of data.

### Description

Sampling subset of data.

### Usage

```
samplingSubsetData(d = NULL, sampUnit = NULL, nperm = 9,
type = "proportion", prop = seq(10, 100, by = 10), MinSample = 1,
Size = NULL)
```

### Arguments

`d` |
Dataframe of data to sample. Each line is an individual. |

`sampUnit` |
A Factor defining the sampling unit to impoverish. For example it can be the species or the plot attributes of each individual. |

`nperm` |
Number of permutations. |

`type` |
Type of sampling. Either |

`prop` |
Integer between 1 and 100. Categorical proportions to sample in percentage. |

`MinSample` |
Minimum number of individual to sample by sample unit. Default is one. |

`Size` |
A vector of value for each individual (type |

### Details

Sampling scheme **count** sample a number of individuals wheras **proportion** sample a proportion of individuals by sample unit. Sampling scheme **propBySize** sample in each sampling unit (sampUnit) a proportion of the individual ranked using the argument **Size**. Consequently, the bigest individuals (higher Size) will be sample before the smaller one. **factorBySize** sample a proportion of sampling unit (sampUnit) ranked using the argument **Size**. For example you can sample only the individuals of the 20% of the more aboundant species.

### Value

Return a list list of sample dataframe. The first level of the list depicts the permutation and the second level depicts the different proportion/number of individual sampled by factor.

### Author(s)

Adrien Taudiere

*cati*version 0.99.4 Index]