pearsonDiagram {PearsonDS} | R Documentation |
Regions of Pearson Distribution Types
Description
2D-Plot of the regions for the different types of Pearson distributions, depending on (squared) skewness and kurtosis.
Usage
pearsonDiagram(max.skewness = sqrt(14), max.kurtosis = 24,
squared.skewness = TRUE, lwd = 2, legend = TRUE,
n = 301)
Arguments
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 |
Details
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
.
Value
Nothing useful. Function called for its side-effects.
Author(s)
Martin Becker martin.becker@mx.uni-saarland.de and Stefan Klößner S.Kloessner@mx.uni-saarland.de
References
[1] Johnson, N. L., Kotz, S. and Balakrishnan, N. (1994) Continuous Univariate Distributions, Vol. 1, Wiley Series in Probability and Mathematical Statistics, Wiley
See Also
Examples
## Show me the regions for the different distribution types!
pearsonDiagram()