Description Usage Arguments Details Value

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

.

1 2 |

`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 + ξ (z_i - μ)/σ)^{-1/ξ} \}
*

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} = μ - (σ / ξ) (1 - (- log(i/(m+1)))^{-ξ} )
*

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.

printed elements

dannyjameswilliams/danielR documentation built on Feb. 1, 2021, 6:39 p.m.

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