powered by
This is an updated QQ plot function for GLD comparing fitted distribution with empirical data
qqgld.default(y, vals, param, ylim, main = "GLD Q-Q Plot", xlab = "Theoretical Quantiles", ylab = "Sample Quantiles", plot.it = TRUE, datax = FALSE, ...)
A list with components:
The x coordinates of the points that were/would be plotted
The original y vector, i.e., the corresponding y coordinates including NAs.
A vector of empirical data observations
A vector representing four parameters of GLD
Can be "rs", "fmkl" or "fkml"
A vector of two numerical values, specifying the upper and lower bound of y axis
Title of the qq plot
Label for X axis
Label for Y axis
Whether to plot the QQ plot, default is TRUE
Whether data values should be on x axis, default is FALSE
Additional graphical parameters
R, with modifications from Steve Su
This is an adaptation of the default qq plot in R
qqplot.gld, qqplot.gld.bi
qqplot.gld
qqplot.gld.bi
x<-rnorm(100) fit1<-fun.RMFMKL.ml.m(x) qqgld.default(x,fit1,param="fmkl")
Run the code above in your browser using DataLab