plot.gev | R Documentation |

Plot the probability and the quantile-quantile plot for the GEV distribution, for a model
fit by `gev_fit`

.

```
## S3 method for class 'gev'
plot(x, ...)
```

`x` |
object of class " |

`...` |
further arguments for plotting (will apply to both plots) |

The probability plot plots the model calculated

```
G(z_i) = \exp \{ - ( 1 + \xi (z_i - \mu)/\sigma)^{-1/\xi} \}
```

against the empirical

```
H(z_i) = i / (m + 1).
```

If the model is a good fit, these should be approximately equal, and so the points plotted should lie on a diagonal line.

The quantile-quantile plot plots

```
G^{-1} = \mu - (\sigma / \xi) (1 - (- log(i/(m+1)))^{-\xi} )
```

against the observed maxima `z_i`

. Similar to the probability plot, this should also lie on the diagonal line
for a good fit, as these points should be approximately equal.

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