function alpha=ccdf(empirical,cutmin)
%function alpha=ccdf(empirical,cutmin)
% Display log-log Complementary CDFs

% Copyright (c) 2004-2006 Alessio Botta, Alberto Dainotti, Antonio Pescapè
% Email: {a.botta , alberto , pescape }@unina.it
% DIS - Dipartimento di Informatica e Sistemistica 
% University of Napoli Federico II, ITALY
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[ycdf, xcdf] = cdfcalc(empirical);
% Align ycdf and xcdf (see "help cdfcalc")
ycdf = ycdf(2:length(ycdf));

% Discard elements negative or null for logarithm
discard1 = find(xcdf <= 0);
xcdf(discard1) = [];
ycdf(discard1) = [];
discard2 = find((1-ycdf) <= 0);
xcdf(discard2) = [];
ycdf(discard2) = [];
x1 = xcdf;
y1 = log10(1-ycdf);
% Discard elements smaller than "cutmin"
xalpha = x1;
yalpha = y1;
if (cutmin ~= 0)
     discard = find(x1 <= cutmin);
     xalpha(discard) = [];
     yalpha(discard) = [];
end

% Computing alpha parameter
xa = min(xalpha)-0.1:(max(xalpha)-min(xalpha))/10:max(xalpha)+0.1;
%xa = 0:(max(xalpha)-min(xalpha))/10:max(xalpha)+0.1;
p = polyfit(xalpha,yalpha,1);
ya = p(1) * xa + p(2);
alpha = -p(1);

% Plot
plot(x1,y1,'b-',xa,ya,'r--');
title(sprintf('Complementary CDF of interarrival times'));
xlabel('[x] = 1E-6 s');
ylabel(sprintf('log10(1-F(x))'));
%legend('Empirical CCDF','Linear fit');
%[s1,err] = sprintf('%s\\LOG_COMPL_CDF',directory);
%print_figure(s1);
grid