HerdingProblem/MATLABsimulations/getPointsInIntervals.m at master · diBernardoGroup/HerdingProblem · GitHub

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function points = getPointsInIntervals(TargetNumberTot,ParamTot,HowDivisionTot,fileName)

load(fileName);

topParam1 = TargetNumberTot(2)/1;
topParam2 = ParamTot(2);

points_00_30 = zeros(1,HowDivisionTot(2));
points_30_60 = zeros(1,HowDivisionTot(2));
points_60_75 = zeros(1,HowDivisionTot(2));
points_75_100 = zeros(1,HowDivisionTot(2));

for how = HowDivisionTot(1) : HowDivisionTot(2)

    val_3 = AveragesTaskDivisions.AverageMetrics_ContTime(:,:,how);
    val_3 = val_3 * 100 / 60;

    for rows = 1 : 50
        for cols = 1 : 4

            if val_3(rows,cols) <= 30

                points_00_30(1,how) = points_00_30(1,how) + 1 ;

            elseif val_3(rows,cols) > 30 && val_3(rows,cols)<= 60

                points_30_60(1,how) =  points_30_60(1,how) + 1 ;


            elseif val_3(rows,cols) > 60 && val_3(rows,cols)<= 75

                points_60_75(1,how) = points_60_75(1,how) + 1 ;

            elseif val_3(rows,cols) > 75

                points_75_100(1,how) = points_75_100(1,how) + 1 ;

            end


        end
    end

   points.below30percent = points_00_30/(topParam1*topParam2) * 100;
   points.between30and60percent = points_30_60/(topParam1*topParam2) * 100;
   points.between60and75percent = points_60_75/(topParam1*topParam2) * 100;
   points.above75percent = points_75_100/(topParam1*topParam2) * 100;


end