rain: Rain, wavesurge, portpirie and nidd datasets.
In texmex: Statistical Modelling of Extreme Values
rain, wavesurge and portpirie R Documentation
Rain, wavesurge, portpirie and nidd datasets.
Description
Rainfall, wave-surge, Port Pirie and River Nidd data sets.
Format
The format of the rain data is: num [1:17531] 0 2.3 1.3 6.9 4.6 0 1
1.5 1.8 1.8 ...
The wave-surge data is bivariate and is used for testing functions in
texmex.
The Port Pirie data has two columns: 'Year' and 'SeaLevel'.
The River Nidd data represents 154 measurements of the level of the River
Nidd at Hunsingore Weir (Yorkshire, UK) between 1934 and 1969. Each
measurement breaches the threshold of $65 m^3/2$. Various authors have
analysed this dataset, as described by Papastathopoulos and Tawn~egp,
there being some apparent difficulty in identifying a threshold above which
GPD models are suitable.
Details
The rain, wave-surge and Port Pirie datasets are used by Coles and appear in
the ismev package. The River Nidd data appear in the evir
package.
Source
Copied from the ismev package and the evir package
References
S. Coles, An Introduction to Statistical Modeling of Extreme
Values, Springer, 2001
I. Papastathopoulos and J. A. Tawn, Extended Generalised Pareto Models for
Tail Estimation, Journal of Statistical Planning and Inference, 143, 134 –
143, 2011
texmex documentation built on June 22, 2024, 12:26 p.m.
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| rain, wavesurge and portpirie | R Documentation |
Rain, wavesurge, portpirie and nidd datasets.
Description
Rainfall, wave-surge, Port Pirie and River Nidd data sets.
Format
The format of the rain data is: num [1:17531] 0 2.3 1.3 6.9 4.6 0 1 1.5 1.8 1.8 ...
The wave-surge data is bivariate and is used for testing functions in
texmex.
The Port Pirie data has two columns: 'Year' and 'SeaLevel'.
The River Nidd data represents 154 measurements of the level of the River Nidd at Hunsingore Weir (Yorkshire, UK) between 1934 and 1969. Each measurement breaches the threshold of $65 m^3/2$. Various authors have analysed this dataset, as described by Papastathopoulos and Tawn~egp, there being some apparent difficulty in identifying a threshold above which GPD models are suitable.
Details
The rain, wave-surge and Port Pirie datasets are used by Coles and appear in
the ismev package. The River Nidd data appear in the evir
package.
Source
Copied from the ismev package and the evir package
References
S. Coles, An Introduction to Statistical Modeling of Extreme Values, Springer, 2001
I. Papastathopoulos and J. A. Tawn, Extended Generalised Pareto Models for Tail Estimation, Journal of Statistical Planning and Inference, 143, 134 – 143, 2011
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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