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qtable

PURPOSE ^

% Interpolate tabularized distribution

SYNOPSIS ^

function [q] = qtable(p,probs,quants)

DESCRIPTION ^

% 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
% 
% 
%

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:
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