Barplot with a lognormal distribution

Hi, I have this barplot of some particles measured, fitted with a lognormal distribution. However, the y-values are too large. I have tried to normalize the data with trapz(n1000,x1000), but it did not work. Is it something to do with the bins? I have tried to vary this accordingly, for nbins=20, y did not vary as much.

[n1000,x1000]=hist(vol1000,);
n1000=n1000/length(vol1000)/diff(x1000(1:2));
bar1000=bar(x1000,n1000,'hist');
hold on
TF1000=isoutlier(vol1000,'mean');
mu1000=mean(log(vol1000));
std1000=std(log(vol1000));
ix1000=linspace(min(vol1000),max(vol1000));
iy1000=pdf('lognormal',ix1000,mu1000,std1000);
figure(7)
plot(ix1000,iy1000,'r')
xlabel('Volumes [µm^3]')
legend('Particle sizes','Log normal distribution')
title('Lognormal distribution of 1000 µL Ag seed prisms')
grid on
hold off

I hope someone can help. Thank you! Regards, Mads

[Mads Søndergaard Larsen]

Ignore the "if true" and "end" part, that is not a part of the code. Also TF1000 was to check for outliers - So no worries there.

[dpb]

It's a sorry interface for code; granted, but to enter code, highlight the lines wanted and the press the '{}Code' icon...or two spaces before first line of paragraph has same effect; lose the effect with blank line that way, though.

As far as the actual Q?; not much we can do w/o the data or at least the figure to see what of which you speak...

[Mads Søndergaard Larsen]

You are right dpb, however I did figure it out in the end.

This was my first question here, therefore it seems a bit funny to look at. I'm sorry about the inconvenience - I should have checked the "Apps - Distribution" function from MatLab, as this yielded the right data in the end.