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📄 chi2test.m

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function [p, Q]= chi2test(x)	% Usage: [p, Q]= chi2test(x)% % The chi-squared test. % % Given a number of samples this function tests the hypothesis that the samples are % independent. If Q > chi2(p, nu), the hypothesis is rejected. % % Each column represents a variables, each row a sample.% % If you find any errors, please let me know: .% % ARGUMENTS:% x     Absolut numbers.% p     The prob ability value, calculated from Q.% Q     The resulting Q-value.% % EXAMPLE 1% In region A, 324 of 556 cows were red, whereas in region B 98 of 260 were red.% [p, Q]= chi2test([324, 556-324; 98, 260-98])% p=%    4.2073e-08% Q=%    30.0515% With an error risk of about 4e-08, we can claim that the samples are independent.% % EXAMPLE 2% Throw two different dices to see if they have the same probability of 1 (and 2, 3, 4, 5, 6).% We don't check if they are symetrical, only if the both behave in the same way.% [p,Q] = chi2test([15,10; 7,11; 9,7; 20,15; 26,21; 19,16])% p=%    0.8200% Q =%    2.2059% The dices don't significantly behave differently. That is, they seem to behave in the same way.%% HISTORY:    v.1.0, first working version, 2007-08-30.% % COPYRIGHT:  (c) 2007 Peder Axensten. Use at own risk.% KEYWORDS:   chi-squared test, chi-squared, chi2, test%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%		% Check the arguments.	if(nargin ~= 1),			error('One and only one argument required!');					end	if(ndims(x) ~= 2),			error('The argument (x) must be a 2d matrix!');					end	if(any(size(x) == 1)),		error('The argument (x) must be a 2d matrix!');					end	if(any(~isreal(x))),		error('All values of the argument (x) must be real values!');	end		% Calculate Q = sum( (a-np*)^2/(np*(1-p*)) )	s=		size(x, 1);	r=		size(x, 2);	np=		sum(x, 2)/sum(sum(x)) * sum(x);		% p=sum(x, 2)/sum(sum(x)) and n=sum(x)	Q=		sum(sum((x-np).^2./(np)));		% Calculate cdf of chi-squared to Q. Degrees of freedom, v, is (r-1)*(s-1).	p=		1 - gammainc(Q/2, (r-1)*(s-1)/2);end

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