This is an updated QQ plot function for GLD comparing fitted distribution with empirical data

1 2 3 | ```
qqgld.default(y, vals, param, ylim, main = "GLD Q-Q Plot",
xlab = "Theoretical Quantiles", ylab = "Sample Quantiles",
plot.it = TRUE, datax = FALSE, ...)
``` |

`y` |
A vector of empirical data observations |

`vals` |
A vector representing four parameters of GLD |

`param` |
Can be "rs", "fmkl" or "fkml" |

`ylim` |
A vector of two numerical values, specifying the upper and lower bound of y axis |

`main` |
Title of the qq plot |

`xlab` |
Label for X axis |

`ylab` |
Label for Y axis |

`plot.it` |
Whether to plot the QQ plot, default is TRUE |

`datax` |
Whether data values should be on x axis, default is FALSE |

`...` |
Additional graphical parameters |

This is an adaptation of the default qq plot in R

A list with components:

`x` |
The x coordinates of the points that were/would be plotted |

`y` |
The original y vector, i.e., the corresponding y coordinates including NAs. |

R, with modifications from Steve Su

`qqplot.gld`

, `qqplot.gld.bi`

1 2 3 | ```
x<-rnorm(100)
fit1<-fun.RMFMKL.ml.m(x)
qqgld.default(x,fit1,param="fmkl")
``` |

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.