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+
+// Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+// Copyright (C) 2012 - Michael Baudin
+// Copyright (C) 2000 - INRIA - Carlos Klimann
+//
+// This file must be used under the terms of the CeCILL.
+// This source file is licensed as described in the file COPYING, which
+// you should have received as part of this distribution. The terms
+// are also available at
+// http://www.cecill.info/licences/Licence_CeCILL_V2.1-en.txt
+//
+
+function [f,p]=ftuneq(varargin)
+ //
+ //This function computes the F ratio for samples of unequal
+ //size.
+ //
+ //"The most efficient design is to make all samples the
+ //same size n. However when this is nor feasible, it
+ //still is possible to modify the ANOVA calculations."
+ //Note that the definition of xbarbar is no longer
+ //mean(xbar), but rather a weighted average with weights
+ //ni. Additionally it gives (in p) the p-value of the
+ //computed Fischer ratio.
+ //
+ //Given a number a of samples each of them composed of n_i
+ //(i from 1 to a) observations this fonction computes in f
+ //the Fischer ratio (it is the ratio between nr times the
+ //variance of the means of samples and the mean of the
+ //variances of each sample).
+ //
+ //References: Wonacott, T.H. & Wonacott, R.J.; Introductory
+ //Statistics, J.Wiley & Sons, 1990.
+ //
+ //
+ [lhs,rhs]=argn(0)
+ if rhs == 0 then
+ error(msprintf(gettext("%s: Wrong number of input arguments: At least %d expected.\n"),"ftuneq",1))
+ end
+ data=[]
+ total=0
+ sse=0
+ for i=1:rhs
+ len(i)=size(varargin(i),"*"),
+ mat=matrix(varargin(i),len(i),1),
+ partial=sum(mat),
+ xbar(i)=partial/len(i),
+ total=total+partial,
+ data=[data; mat]
+ sse=sse+sum((mat-xbar(i)).^2)
+ end
+ xbarbar=total/sum(len)
+ ssa=len'*((xbar-xbarbar).^2)
+ msa=ssa/(rhs-1)
+ deglib=sum(len-1)
+ mse=sse/deglib
+ f=msa/mse
+ [ignored,p]=cdff("PQ",f,(rhs-1),deglib)
+endfunction