# qqhyperb: Hyperbolic Quantile-Quantile and Percent-Percent Plots In HyperbolicDist: The Hyperbolic Distribution

 HyperbPlots R Documentation

## Hyperbolic Quantile-Quantile and Percent-Percent Plots

### Description

`qqhyperb` produces a hyperbolic Q-Q plot of the values in `y`.

`pphyperb` produces a hyperbolic P-P (percent-percent) or probability plot of the values in `y`.

Graphical parameters may be given as arguments to `qqhyperb`, and `pphyperb`.

### Usage

```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, ...)
```

### Arguments

 `y` The data sample. `Theta` Parameters of the hyperbolic distribution. `xlab, ylab, main` Plot labels. `plot.it` Logical. Should the result be plotted? `line` Add line through origin with unit slope. `...` Further graphical parameters.

### Value

For `qqhyperb` and `pphyperb`, a list with components:

 `x` The x coordinates of the points that are to be plotted. `y` The y coordinates of the points that are to be plotted.

### References

Wilk, M. B. and Gnanadesikan, R. (1968) Probability plotting methods for the analysis of data. Biometrika. 55, 1–17.

`ppoints`, `dhyperb`, `hyperbFit`

### Examples

```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))
```

HyperbolicDist documentation built on March 18, 2022, 6:23 p.m.