[Scilab-users] Histogram plot

Samuel Gougeon sgougeon at free.fr
Sat Mar 18 15:52:53 CET 2017


Hello Claus,
Have you tried the "normalization=%f" histplot() option?
SG

Le 18/03/2017 à 15:47, Claus Futtrup a écrit :
>
> Dear Scilab users
>
> I've tried to use histplot, but I probably just don't understand what 
> it does or what it is supposed to do. I hope you can help me do this 
> in a smarter way. Here's to code which does the correct stuff - but as 
> you can see, I have to "manually" count what goes into each histogram 
> category - and afterwards I also have to manually "paint" the 
> histplot. It's rather complicated for being such a simple task.
>
> // sample.sce
>
> Bl = [
>
> 7.007 7.065 7.047 6.999 6.999 7.025 6.998 7.075 7.035 ..
>
> 7.037 7.071 7.031 7.069 7.032 7.02 7.047 7.025 7.026 ];
>
> avgbl = mean(Bl);
>
> [nearest,i] = min(abs(Bl-avgbl)); // 'nearest'is unimportant, we need i
>
> nearest = Bl(i); // This is our 'Master'for the BIAS study
>
> Bl_diff = Bl - nearest;
>
> minBl_diff = floor(100*min(Bl_diff))/100 - 0.005;
>
> maxBl_diff = ceil(100*max(Bl_diff))/100 + 0.005;
>
> bins = (maxBl_diff - minBl_diff)*100; // we create 9 bins
>
> dividers = linspace(minBl_diff,maxBl_diff,bins+1); // 10 dividers
>
> bin_vec(1) = sum(Bl_diff < dividers(2)); // start initialize bin_vec
>
> for i=2:bins do
>
> bin_vec(i) = sum(Bl_diff < dividers(i+1)) - sum(Bl_diff < dividers(i))
>
> end // bin_vec contains the correct frequency count
>
> scf();
>
> drawlater();
>
> // histplot(dividers,Bl_diff,style=2); // WRONG FREQUENCY COUNT
>
> for i=1:bins do
>
> xi = (dividers(i+1) + dividers(i))/2; // middle of bin container
>
> xlo = xi - 0.004;
>
> xhi = xi + 0.004;
>
> plot([xlo xlo],[0 bin_vec(i)],'-k');
>
> plot([xlo xhi],[bin_vec(i) bin_vec(i)],'-k');
>
> plot([xhi xhi],[0 bin_vec(i)],'-k');
>
> xfpoly([xlo xlo xhi xhi xlo],[0 bin_vec(i) bin_vec(i) 0 0],color("grey"));
>
> end
>
> xtitle("","Bias study, $Bl$ - mean($Bl$)","Count");
>
> drawnow();
>
> Best regards,
>
> Claus
>
>
>
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