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lmomco (version 2.4.14)

qualap: Quantile Function of the Laplace Distribution

Description

This function computes the quantiles of the Laplace distribution given parameters (\(\xi\) and \(\alpha\)) computed by parlap. The quantile function is $$x(F) = \xi + \alpha\times\log(2F)\mbox{,}$$ for \(F \le 0.5\), and $$x(F) = \xi - \alpha\times\log(2(1-F))\mbox{,}$$ for \(F > 0.5\), where \(x(F)\) is the quantile for nonexceedance probability \(F\), \(\xi\) is a location parameter, and \(\alpha\) is a scale parameter.

Usage

qualap(f, para, paracheck=TRUE)

Value

Quantile value for for nonexceedance probability \(F\).

Arguments

f

Nonexceedance probability (\(0 \le F \le 1\)).

para

The parameters from parlap or vec2par.

paracheck

A logical controlling whether the parameters are checked for validity. Overriding of this check might be extremely important and needed for use of the quantile function in the context of TL-moments with nonzero trimming.

Author

W.H. Asquith

References

Hosking, J.R.M., 1986, The theory of probability weighted moments: IBM Research Report RC12210, T.J. Watson Research Center, Yorktown Heights, New York.

See Also

cdflap, pdflap, lmomlap, parlap

Examples

Run this code
  lmr <- lmoms(c(123,34,4,654,37,78))
  qualap(0.5,parlap(lmr))

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