2D-Plot of the regions for the different types of Pearson distributions, depending on (squared) skewness and kurtosis.

1 2 3 | ```
pearsonDiagram(max.skewness = sqrt(14), max.kurtosis = 24,
squared.skewness = TRUE, lwd = 2, legend = TRUE,
n = 301)
``` |

`max.skewness` |
maximal value for the skewness. |

`max.kurtosis` |
maximal value for the kurtosis (not excess kurtosis!). |

`squared.skewness` |
plot squared skewness on x-axis (default: |

`lwd` |
line width for distributions of type II, III, V, VII. |

`legend` |
include legend in the plot (default: |

`n` |
number of points for |

The label of the x-axis is *beta[1]* for squared skewness and
*sqrt(beta[1])* for regular skewness. The label of the
y-axis is *beta[2]*.

Nothing useful. Function called for its side-effects.

Martin Becker martin.becker@mx.uni-saarland.de and Stefan Kl<f6><df>ner S.Kloessner@mx.uni-saarland.de

[1] Johnson, N. L., Kotz, S. and Balakrishnan, N. (1994) Continuous Univariate Distributions, Vol. 1, Wiley Series in Probability and Mathematical Statistics, Wiley

`PearsonDS-package`

1 2 | ```
## Show me the regions for the different distribution types!
pearsonDiagram()
``` |

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