quanor {lmomco} | R Documentation |
This function computes the quantiles of the Normal distribution given
parameters (mean and sd) of the distribution computed by
parnor
.
The quantile function of the distribution has no explicit form
(see cdfnor
and qnorm
). The parameters have the following
interpretations: mean is the arithmetic
mean and sd is the standard deviation. The R-function qnorm
is used.
quanor(f, para)
f |
Nonexceedance probability (0 <= F <= 1). |
para |
The parameters from parnor or similar. |
Quantile value for nonexceedance probability F.
W.H. Asquith
Hosking, J.R.M., 1990, L-moments—Analysis and estimation of distributions using linear combinations of order statistics: Journal of the Royal Statistical Society, Series B, vol. 52, p. 105–124.
Hosking, J.R.M., 1996, FORTRAN routines for use with the method of L-moments: Version 3, IBM Research Report RC20525, T.J. Watson Research Center, Yorktown Heights, New York.
Hosking, J.R.M. and Wallis, J.R., 1997, Regional frequency analysis—An approach based on L-moments: Cambridge University Press.
lmr <- lmom.ub(c(123,34,4,654,37,78)) quanor(0.5,parnor(lmr))