Description Usage Arguments Value Author(s) Examples

This convenience function checks that a given probability density function (`pdf`

) from lmomco appears to numerically be valid. By definition a `pdf`

function must integrate to unity. This function permits some flexibility in the limits of integration and provides a high-level interface from graphical display of the `pdf`

.

1 2 3 |

`pdf` |
A probability density function from lmomco. |

`lowerF` |
The lower bounds of nonexceedance probability for the numerical integration. |

`upperF` |
The upper bounds of nonexceedance probability for the numerical integration. |

`para` |
The parameters of the distribution. |

`eps` |
An error term expressing allowable error (deviation) of the numerical integration from unity. (If that is the objective of the call to the |

`verbose` |
Is verbose output desired? |

`plot` |
Should a plot (polygon) of the |

`plotlowerF` |
Alternative lower limit for the generation of the curve depicting the |

`plotupperF` |
Alternative upper limit for the generation of the curve depicting the |

`...` |
Additional arguments that are passed onto the |

An **R** `list`

structure is returned

`isunity` |
Given the |

`F` |
The numerical integration of |

W.H. Asquith

1 2 3 4 5 6 7 8 9 10 | ```
lmrg <- vec2lmom(c( 100, 40, 0.1)) # Arbitrary L-moments
lmrw <- vec2lmom(c(-100, 40,-0.1)) # Reversed Arbitrary L-moments
gev <- pargev(lmrg) # parameters of Generalized Extreme Value distribution
wei <- parwei(lmrw) # parameters of Weibull distribution
# The Weibull is a reversed GEV and plots in the following examples show this.
# Two examples that should integrate to "unity" given default parameters.
layout(matrix(c(1,2), 2, 2, byrow = TRUE), respect = TRUE)
check.pdf(pdfgev,gev,plot=TRUE)
check.pdf(pdfwei,wei,plot=TRUE)
``` |

lmomco documentation built on Sept. 21, 2018, 6:40 p.m.

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