Description Usage Arguments Details Value Author(s) References See Also Examples
qqgl
produces a Quantile-Quantile plot of data against the
quantile-based skew logistic distribution,
or a Q-Q plot to compare two sets of parameter values
for the quantile-based skew logistic distribution. This function does for the
skew logistic distribution what qqnorm
does for the normal.
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y |
The data sample |
parameters1 |
A vector of length 3, containg the parameters of the skew logistic distribution, alpha, beta and delta. |
parameters2 |
Second set of parameters of the skew logistic distribution. A vector of length 3, as described above for |
abline |
A logical value, TRUE adds a line through the origian with a slope of 1 to the plot |
granularity.for.2.dists |
Number of quantiles to use in a Q-Q plot comparing two sets of parameter values |
use.endpoints |
logical. When comparing two sets of parameter values, should Q(0) and Q(1) be used? TRUE will give QQ plots including the theoretical
minimum and maximum of the distribution, which is arguably not equivalent to
what would be seen in QQ plots based on data. FALSE will give QQ plots based on
ideal depths (type 8 quantiles, see |
... |
graphical parameters, passed to |
See sld
for more details on the Skew Logistic
Distribution. A Q-Q plot provides a way to visually assess the
correspondence between a dataset and a particular distribution, or between two
distributions.
A list of the same form as that returned by qqline
x |
The x coordinates of the points that were/would be plotted, corresponding to a skew logistic distibution with parameters alpha, beta and delta. |
y |
The original |
Robert King, [email protected], http://tolstoy.newcastle.edu.au/~rking/ and Paul van Staden
van Staden, P.J. and King, R.A.R. (2015) The quantile-based skew logistic distribution, Statistics and Probability Letters 96 109–116. http://dx.doi.org/10.1016/j.spl.2014.09.001
van Staden, Paul J. 2013 Modeling of generalized families of probability distribution in the quantile statistical universe. PhD thesis, University of Pretoria. http://hdl.handle.net/2263/40265
http://tolstoy.newcastle.edu.au/rking/SLD/SLD.html
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