datasets

SolarFlares

Collection of datasets in this package.
The Australian athletes dataset (<code>AA</code>) were collected in a study of how
 data on various characteristics of the blood varied with sport body size
 and sex of the athlete.
The <code>SolarFlares</code> data are \(12,773\) observations of peak gamma-ray
 intensity of solar flares recorded from Feb, 1980 - Dec, 1989. It was
 analyzed for power-law properties in Clauset et al. (2009) and comes
 originally from Dennis et al. (1991). Thanks to the authors for giving
 permission to include the dataset in this package.

Lambert W x F distributions are a generalized framework to analyze
skewed, heavy-tailed data. It is based on an input/output system, where the
output random variable (RV) Y is a non-linearly transformed version of an input
RV X ~ F with similar properties as X, but slightly skewed (heavy-tailed).
The transformed RV Y has a Lambert W x F distribution. This package contains
functions to model and analyze skewed, heavy-tailed data the Lambert Way:
simulate random samples, estimate parameters, compute quantiles, and plot/
print results nicely. The most useful function is 'Gaussianize',
which works similarly to 'scale', but actually makes the data Gaussian.
A do-it-yourself toolkit allows users to define their own Lambert W x
'MyFavoriteDistribution' and use it in their analysis right away.

Georg M Goerg

LambertW

Probabilistic Models to Analyze and Gaussianize Heavy-Tailed,
Skewed Data

Georg M. Goerg

datasets function

<code>AA</code> is a <code>data.frame</code> with 13 columns and 202 rows.
See <code>ais</code> dataset in the DAAG package for details.

datasets: Datasets

Description

Arguments

Format

References