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qqhyperb produces a hyperbolic Q-Q plot of the values in y.
qqhyperb
y
pphyperb produces a hyperbolic P-P (percent-percent) or probability plot of the values in y.
pphyperb
Graphical parameters may be given as arguments to qqhyperb, and pphyperb.
qqhyperb(y, Theta, main = "Hyperbolic Q-Q Plot", xlab = "Theoretical Quantiles", ylab = "Sample Quantiles", plot.it = TRUE, line = TRUE, ...)pphyperb(y, Theta, main = "Hyperbolic P-P Plot", xlab = "Uniform Quantiles", ylab = "Probability-integral-transformed Data", plot.it = TRUE, line = TRUE, ...)
pphyperb(y, Theta, main = "Hyperbolic P-P Plot", xlab = "Uniform Quantiles", ylab = "Probability-integral-transformed Data", plot.it = TRUE, line = TRUE, ...)
For qqhyperb and pphyperb, a list with components:
The x coordinates of the points that are to be plotted.
The y coordinates of the points that are to be plotted.
The data sample.
Parameters of the hyperbolic distribution.
Plot labels.
Logical. Should the result be plotted?
Add line through origin with unit slope.
Further graphical parameters.
Wilk, M. B. and Gnanadesikan, R. (1968) Probability plotting methods for the analysis of data. Biometrika. 55, 1--17.
ppoints, dhyperb, hyperbFit
ppoints
dhyperb
hyperbFit
par(mfrow = c(1,2)) y <- rhyperb(200, c(2,2,2,2)) qqhyperb(y, c(2,2,2,2),line = FALSE) abline(0, 1, col = 2) pphyperb(y, c(2,2,2,2))
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