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.
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