alpha.div {asbio} | R Documentation |

## Functions for calculating alpha diversity.

### Description

Alpha diversity quantifies richness and evenness within a sampling unit (replicate).

The function `alpha.div`

runs `Simp.index`

or `SW.index`

to calculate Simpson's, Inverse Simpson's or Shannon-Weiner diversities.

Simpson's index has a straightforward interpretation. It is the probability of reaching into a plot and simultaneously pulling out two different species.
Inverse Simpson's diversity is equivalent to one over the probability that two randomly chosen individuals will be the same species.
These measures have been attributed to Simpson (1949). While it does not allow straightforward interpretation of results, the Shannon-Weiner diversity (*H*')
is another commonly used alpha-diversity measure based on the Kullback-Leibler information criterion (Macarthur and Macarthur 1961).

### Usage

```
alpha.div(x,index)
Simp.index(x,inv)
SW.index(x)
```

### Arguments

`x` |
A vector or matrix of species abundances (e.g. counts). The functions assume that species are in columns and sites are in rows. |

`index` |
The type of alpha diversity to be computed. The function currently has three choices. |

`inv` |
Logical, indicating whether or not Simpson's inverse diversity should be computed. |

### Value

A single diversity value is returned if `x`

is a vector. A vector of diversities (one for each site) are returned if `x`

is a matrix.

### Author(s)

Ken Aho

### References

Simpson, E. H. (1949) Measurement of diversity. *Nature*. 163: 688.

MacArthur, R. H., and MacArthur J. W. (1961) On bird species diversity. *Ecology*. 42: 594-598.

### Examples

```
data(cliff.sp)
alpha.div(cliff.sp,"simp")
```

*asbio*version 1.9-7 Index]