📄 filter_ppc.m
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clc;clear all;close all;
reader_m;
topodir = 'Topo';
ppcname = 'Results_PPC';
dapcname = 'Results_DAPC';
filterdir = 'Filter';
%%%%%%%%%%PPC%%%%%%%%%%%
% Calculating Mean, Standard Deviation for each senario
for m = 1:length(a)
for runs = 1:length(nn)
for mindists = 1:length(mindist)
meanname = strcat(ppcname, '_MEAN_R', num2str(nn(runs)), '_D', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)));
stdname = strcat(ppcname, '_STD_R', num2str(nn(runs)), '_D', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)));
meanpercentage = strcat(ppcname, '_MEAN_PERCENTAGE_R', num2str(nn(runs)), '_D', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)));
stdpercentage = strcat(ppcname, '_STD_PERCENTAGE_R', num2str(nn(runs)), '_D', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)));
meanpower = strcat(ppcname, '_MEAN_POWER_R', num2str(nn(runs)), '_D', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)));
meaninter = strcat(ppcname, '_MEAN_INTER_R', num2str(nn(runs)), '_D', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)));
meanname = strrep(meanname, '.', '_');
stdname = strrep(stdname, '.', '_');
meanpercentage = strrep(meanpercentage, '.', '_');
stdpercentage= strrep(stdpercentage, '.', '_');
meanpower = strrep(meanpower, '.', '_');
meaninter = strrep(meaninter, '.', '_');
eval([meanname '= [];']);
eval([stdname '= [];']);
eval([meanpercentage '= [];']);
eval([stdpercentage '= [];']);
eval([meanpower '= [];']);
eval([meaninter '= [];']);
for j = 1:length(vars) % for variations
resultname = strcat('RANGE_OUT_R', int2str(nn(runs)), '_D', num2str(mindist(mindists)), '_V', int2str(vars(j)), '_a', num2str(a(m)), '_b', num2str(b(m)))
load(strcat(ppcname, '/', resultname, '.mat'));
% resultname = strrep(resultname, '.', '_');
% eval([resultname '= range_out;']);
eval([meanname '= [' meanname ' mean(mean(range_out, 2))];']);
eval([stdname '= [' stdname ' std(mean(range_out, 2))];']);
percentage = zeros(nn(runs), 1);
eval(['for i=1:length(range_out)' ' for q = 1:nn(runs)' ' if range_out(q,i)>rd*tolerance' ' percentage(q) = (percentage(q)*(i-1) + 1)/i;' ' else' ' percentage(q) = percentage(q)*(i-1)/i;' ' end;' ' end;' ' end;']);
eval([meanpercentage '= [' meanpercentage ' mean(percentage*100)];']);
eval([stdpercentage '= [' stdpercentage ' std(percentage*100)];']);
resultname = strcat('POWER_OUT_R', num2str(nn(runs)), '_D', num2str(mindist(mindists)), '_V', int2str(vars(j)), '_a', num2str(a(m)), '_b', num2str(b(m)));
load(strcat(ppcname, '/', resultname, '.mat'));
eval([meanpower '= [' meanpower ' mean(mean(power_out, 2))];']);
resultname = strcat('INTERFERENCE_OUT_R', num2str(nn(runs)), '_D', num2str(mindist(mindists)), '_V', int2str(vars(j)), '_a', num2str(a(m)), '_b', num2str(b(m)));
load(strcat(ppcname, '/', resultname, '.mat'));
eval([meaninter '= [' meaninter ' mean(mean(interference_out, 2))];']);
end
eval([meanname '= mean(' meanname ');']);
eval([stdname '= mean(' stdname ');']);
eval([meanpercentage '= mean(' meanpercentage ');']);
eval([stdpercentage '= mean(' stdpercentage ');']);
eval([meanpower '= mean(' meanpower ');']);
eval([meaninter '= mean(' meaninter ');']);
end
end
end
for m = 1:length(a) % for each method
for mindists = 1:length(mindist) % for varying density
meanplot_ppc_name = strcat(filterdir, '/', ppcname, '_MEAN_RANGE_FIX_DENSITY_VAR_SIZE_', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)), '.mat');
stdplot_ppc_name = strcat(filterdir, '/', ppcname, '_STD_RANGE_FIX_DENSITY_VAR_SIZE_', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)), '.mat');
spplot_ppc_name = strcat(filterdir, '/', ppcname, '_STD_PERC_FIX_DENSITY_VAR_SIZE_', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)), '.mat');
mpplot_ppc_name = strcat(filterdir, '/', ppcname, '_MEAN_PERC_FIX_DENSITY_VAR_SIZE_', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)), '.mat');
mpowerplot_ppc_name = strcat(filterdir, '/', ppcname, '_MEAN_POWER_FIX_DENSITY_VAR_SIZE_', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)), '.mat');
minterplot_ppc_name = strcat(filterdir, '/', ppcname, '_MEAN_INTER_FIX_DENSITY_VAR_SIZE_', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)), '.mat');
meanplot_ppc = [];
stdplot_ppc = [];
spplot_ppc = [];
mpplot_ppc = [];
mpowerplot_ppc = [];
minterplot_ppc = [];
for runs = 1:length(nn) % for varying size
tempname = strcat(ppcname, '_MEAN_R', int2str(nn(runs)), '_D', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)))
tempname = strrep(tempname, '.', '_');
eval(['meanplot_ppc = [meanplot_ppc ' tempname ']']);
tempname = strcat(ppcname, '_STD_R', int2str(nn(runs)), '_D', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)))
tempname = strrep(tempname, '.', '_');
eval(['stdplot_ppc = [stdplot_ppc ' tempname ']']);
tempname = strcat(ppcname, '_STD_PERCENTAGE_R', int2str(nn(runs)), '_D', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)))
tempname = strrep(tempname, '.', '_');
eval(['spplot_ppc = [spplot_ppc ' tempname ']']);
tempname = strcat(ppcname, '_MEAN_PERCENTAGE_R', int2str(nn(runs)), '_D', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)))
tempname = strrep(tempname, '.', '_');
eval(['mpplot_ppc = [mpplot_ppc ' tempname ']']);
tempname = strcat(ppcname, '_MEAN_POWER_R', int2str(nn(runs)), '_D', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)))
tempname = strrep(tempname, '.', '_');
eval(['mpowerplot_ppc = [mpowerplot_ppc ' tempname ']']);
tempname = strcat(ppcname, '_MEAN_INTER_R', int2str(nn(runs)), '_D', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)))
tempname = strrep(tempname, '.', '_');
eval(['minterplot_ppc = [minterplot_ppc ' tempname ']']);
end
save(meanplot_ppc_name, 'meanplot_ppc');
save(stdplot_ppc_name, 'stdplot_ppc');
save(spplot_ppc_name, 'spplot_ppc');
save(mpplot_ppc_name, 'mpplot_ppc');
save(mpowerplot_ppc_name, 'mpowerplot_ppc');
save(minterplot_ppc_name, 'minterplot_ppc');
end
end
% Gather Data
% Fix Size Var Density
for m = 1:length(a) % for each method
for runs = 1:length(nn) % for varying density
meanplot_ppc_name = strcat(filterdir, '/', ppcname, '_MEAN_RANGE_FIX_SIZE_VAR_DENSITY_', num2str(nn(runs)), '_a', num2str(a(m)), '_b', num2str(b(m)), '.mat');
stdplot_ppc_name = strcat(filterdir, '/', ppcname, '_STD_RANGE_FIX_SIZE_VAR_DENSITY_', num2str(nn(runs)), '_a', num2str(a(m)), '_b', num2str(b(m)), '.mat');
spplot_ppc_name = strcat(filterdir, '/', ppcname, '_STD_PERC_FIX_SIZE_VAR_DENSITY_', num2str(nn(runs)), '_a', num2str(a(m)), '_b', num2str(b(m)), '.mat');
mpplot_ppc_name = strcat(filterdir, '/', ppcname, '_MEAN_PERC_FIX_SIZE_VAR_DENSITY_', num2str(nn(runs)), '_a', num2str(a(m)), '_b', num2str(b(m)), '.mat');
mpowerplot_ppc_name = strcat(filterdir, '/', ppcname, '_MEAN_POWER_FIX_SIZE_VAR_DENSITY_', num2str(nn(runs)), '_M', num2str(m), '.mat');
minterplot_ppc_name = strcat(filterdir, '/', ppcname, '_MEAN_INTER_FIX_SIZE_VAR_DENSITY_', num2str(nn(runs)), '_M', num2str(m), '.mat');
meanplot_ppc = [];
stdplot_ppc = [];
spplot_ppc = [];
mpplot_ppc = [];
mpowerplot_ppc = [];
minterplot_ppc = [];
for mindists = 1:length(mindist)
tempname = strcat(ppcname, '_MEAN_R', int2str(nn(runs)), '_D', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)))
tempname = strrep(tempname, '.', '_');
eval(['meanplot_ppc = [meanplot_ppc ' tempname ']']);
tempname = strcat(ppcname, '_STD_R', int2str(nn(runs)), '_D', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)))
tempname = strrep(tempname, '.', '_');
eval(['stdplot_ppc = [stdplot_ppc ' tempname ']']);
tempname = strcat(ppcname, '_STD_PERCENTAGE_R', int2str(nn(runs)), '_D', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)))
tempname = strrep(tempname, '.', '_');
eval(['spplot_ppc = [spplot_ppc ' tempname ']']);
tempname = strcat(ppcname, '_MEAN_PERCENTAGE_R', int2str(nn(runs)), '_D', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)))
tempname = strrep(tempname, '.', '_');
eval(['mpplot_ppc = [mpplot_ppc ' tempname ']']);
tempname = strcat(ppcname, '_MEAN_POWER_R', int2str(nn(runs)), '_D', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)))
tempname = strrep(tempname, '.', '_');
eval(['mpowerplot_ppc = [mpowerplot_ppc ' tempname ']']);
tempname = strcat(ppcname, '_MEAN_INTER_R', int2str(nn(runs)), '_D', num2str(mindist(mindists)), '_a', num2str(a(m)), '_b', num2str(b(m)))
tempname = strrep(tempname, '.', '_');
eval(['minterplot_ppc = [minterplot_ppc ' tempname ']']);
end
save(meanplot_ppc_name, 'meanplot_ppc');
save(stdplot_ppc_name, 'stdplot_ppc');
save(spplot_ppc_name, 'spplot_ppc');
save(mpplot_ppc_name, 'mpplot_ppc');
save(mpowerplot_ppc_name, 'mpowerplot_ppc');
save(minterplot_ppc_name, 'minterplot_ppc');
end
end
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