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fit_Gaussian_model2>fiterror (1957 calls, 0.050 sec)
Generated 14-Nov-2016 07:47:12 using cpu time.
subfunction in file /home/user/dev/ymap/scripts_seqModules/fit_Gaussian_model2.m
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Parents (calling functions)

Function NameFunction TypeCalls
fminsearch>checkfunsubfunction1957
Lines where the most time was spent

Line NumberCodeCallsTotal Time% TimeTime Plot
105
sse          = sum(abs(Error_V...
19570.020 s40.0%
101
width = 0.5;
19570.010 s20.0%
74
G1_fit = G1_a*exp(-0.5*((time-...
19570.010 s20.0%
121
end
19570 s0%
104
Error_Vector = (fitted).^2 - (...
19570 s0%
All other lines  0.010 s20.0%
Totals  0.050 s100% 
Children (called functions)
No children
Code Analyzer results
Line numberMessage
101The value assigned to variable 'width' might be unused.
119This statement (and possibly following ones) cannot be reached.
Coverage results
Show coverage for parent directory
Total lines in function59
Non-code lines (comments, blank lines)15
Code lines (lines that can run)44
Code lines that did run13
Code lines that did not run31
Coverage (did run/can run)29.55 %
Function listing
time 
calls 
 line
  63 
function sse = fiterror(params,time,data,func_type, show_fitting,ploidy1x)
   1957 
  64 
	G1_a = abs(params(1));       % G1_height. 
   1957 
  65 
	G1_b = params(2);            % G1_location. 
   1957 
  66 
	G1_c = abs(params(3));       % G1_width. 
   1957 
  67 
	if (G1_c == 0) 
  68 
		G1_c = 0.001;
  69 
	end;
  70 
	% a = height.
  71 
	% b = location.
  72 
	% c = width.
  73 

  0.01 
   1957 
  74 
	G1_fit = G1_a*exp(-0.5*((time-G1_b)./G1_c).^2); 
   1957 
  75 
	fitted = G1_fit; 
  76 
    
   1957 
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	if (show_fitting == 1) 
  78 
		%------------------------------------------------------------------
  79 
		% show fitting in process.
  80 
		figure(1);    
  81 
		% show data being fit.
  82 
		plot(data,'x-','color',[0.75 0.75 1]);
  83 
		hold on;    
  84 
		% show fit curve.
  85 
		plot(fitted,'-','color',[0 0.5 0.5],'lineWidth',2);
  86 
		% show ploidy lines.
  87 
		line([ploidy1x*1  ploidy1x*1 ],[0 max(data)],'color',[0 0 0],'lineWidth',2);
  88 
		line([ploidy1x*2  ploidy1x*2 ],[0 max(data)],'color',[0 0 0],'lineWidth',2);
  89 
		line([ploidy1x*3  ploidy1x*3 ],[0 max(data)],'color',[0 0 0],'lineWidth',2);
  90 
		line([ploidy1x*4  ploidy1x*4 ],[0 max(data)],'color',[0 0 0],'lineWidth',2);
  91 
		line([ploidy1x*5  ploidy1x*5 ],[0 max(data)],'color',[0 0 0],'lineWidth',2);
  92 
		line([ploidy1x*6  ploidy1x*6 ],[0 max(data)],'color',[0 0 0],'lineWidth',2);
  93 
		line([ploidy1x*7  ploidy1x*7 ],[0 max(data)],'color',[0 0 0],'lineWidth',2);
  94 
		line([ploidy1x*8  ploidy1x*8 ],[0 max(data)],'color',[0 0 0],'lineWidth',2);
  95 
		line([ploidy1x*9  ploidy1x*9 ],[0 max(data)],'color',[0 0 0],'lineWidth',2);
  96 
		line([ploidy1x*10 ploidy1x*10],[0 max(data)],'color',[0 0 0],'lineWidth',2);
  97 
		hold off;
  98 
		%------------------------------------------------------------------
  99 
	end;
 100 

  0.01 
   1957 
 101 
	width = 0.5; 
   1957 
 102 
	switch(func_type) 
   1957 
 103 
		case 'cubic' 
   1957 
 104 
			Error_Vector = (fitted).^2 - (data).^2; 
  0.02 
   1957 
 105 
			sse          = sum(abs(Error_Vector)); 
 106 
		case 'linear'
 107 
			Error_Vector = (fitted) - (data);
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			sse          = sum(Error_Vector.^2);
 109 
		case 'log'
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			Error_Vector = log(fitted) - log(data);
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			sse          = sum(abs(Error_Vector));
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		case 'fcs'
 113 
			Error_Vector = (fitted) - (data);
 114 
			%Error_Vector(1:round(G1_b*(1-width))) = 0;
 115 
			%Error_Vector(round(G1_b*(1+width)):end) = 0;
 116 
			sse          = sum(Error_Vector.^2);
 117 
		otherwise
 118 
			error('Error: choice for fitting not implemented yet!');
 119 
			sse = 1;
 120 
	end;
   1957 
 121 
end 

Other subfunctions in this file are not included in this listing.