R: von Mises Probability-Probability Plot

pp.plot {circular} | R Documentation

## von Mises Probability-Probability Plot

### Description

Plots the empirical distribution of a data set against the best fitting von Mises distribution function.

### Usage

    pp.plot(x, ref.line = TRUE, tol=1e-20,  xlab = "von Mises Distribution",
      ylab = "Empirical Distribution", control.circular = list(), ...)

### Arguments

`x` | a vector. The object is coerced to class `circular`.
`ref.line` | logical, if TRUE a 45 degree reference line is added to the plot. Default is TRUE.
`tol` | parameter passed to `pvonmises`.
`xlab, ylab` | labels of the axis.
`control.circular` | the attribute of the resulting object.
`...` | parameters passed to the `plot.default` function.

### Details

The maximum likelihood estimates of the parameters of the von Mises distribution are computed from the given data set. The empirical distribution function is plotted against a von Mises distribution function with parameters given by the MLEs computed.

### Value

a list with the estimated mean and concentration parameter for a von Mises distribution.

### Author(s)

Claudio Agostinelli and Ulric Lund

### References

Jammalamadaka, S. Rao and SenGupta, A. (2001). Topics in Circular Statistics, Section 10.2, World Scientific Press, Singapore.

### See Also

`mle.vonmises`

### Examples

    x <- rvonmises(n=25, mu=circular(0), kappa=3)
    pp.plot(x)
    x <- c(rvonmises(n=20, mu=circular(0), kappa=7),
      rvonmises(n=20, mu=circular(pi), kappa=7))
    pp.plot(x)

[Package circular version 0.4-93 Index]