Interpolate tabularized distribution
Description:
This function calculates critical values or p-values which cannot
be obtained numerically, and only tabularized version is
available.
Usage:
[q] = qtable(p,probs,quants)
Arguments:
p: vector of probabilities.
probs: vector of given probabilities.
quants: vector of given corresponding quantiles.
Details:
This function is mainly internal routine used to obtain Grubbs and Dixon
critical values. It fits linear or cubical regression to closests
values of its argument, then uses obtained function to obtain
quantile by interpolation. But noone disables to call it directly in
any purpose :)
Value:
q: A vector of interpolated values
Note:
You can simply do "reverse" interpolation (p-value calculating) by
reversing probabilities and quantiles (2 and 3 argument).
Author(s):
Lukasz Komsta, ported from R package "outliers".
See R News, 6(2):10-13, May 2006
