g.test {aspi} | R Documentation |

## Replicated G-tests of goodness-of-fit

### Description

Perform replicated G-tests of goodness-of-fit to assess symmetry of parasitic infections.

### Usage

```
g.test(x)
```

### Arguments

`x` |
a matrix or data frame with two numeric columns; first column is for left-side and 2nd column for right-side. Identifiers for hosts can be provided as row names. |

### Details

This function implements Sokal & Rohlf's (1995) G-test for the specific case of an expected 1:1 ratio The function takes as its argument a matrix or data frame with two numeric columns; first column is for left-side and 2nd column for right-side. Identifiers for hosts can be provided as row names. Uninfected hosts (zero count for both left and right sides) are ignored. Cannot be applied to data containing zero counts; use eb.test instead.

### Value

A list containing two data.frames:

`summary` |
results of total, heterogeneity and pooled G-tests. Data frame has four columns: test, degrees of freedom, G-statistic and p-value. |

`hosts` |
results of individual G-tests on distribution of parasites in each host. Data frame has seven columns: Host (ID), Left (count of parasites on left side), Right (count of parasites on right side), G (G-statistic), p (p-value), BH (p-value adjusted using Benjamini and Hochberg's procedure for controlling the false discovery rate) and Holm (p-value adjusted using Holm's method). |

### References

R.R. Sokal & F.J. Rohlf (1995) Biometry. 3rd Edition. New York: W.H. Freeman and Company. 887 pp.

### Examples

```
g.test(diplostomum_eyes_excl_lenses)
```

*aspi*version 0.2.0 Index]