how to use histogram(data, num_bins)?

3 vues (au cours des 30 derniers jours)
59morgan
59morgan le 14 Avr 2016
Commenté : the cyclist le 14 Avr 2016
I have a 8945x1 double array, and I want to view it's distribution, as a histogram
first try: histogram(data), here's what I get:
second try: using histogram(data, 20):
what am I doing wrong?
data is attached as an excel file if anybody cares to investigate
thanks!

Réponse acceptée

the cyclist
the cyclist le 14 Avr 2016
Modifié(e) : the cyclist le 14 Avr 2016

The reason is that you have a very sharply peaked histogram with a very long tail. The default binning, and your 20-bin option, just don't capture the range well. Try this:

figure
histogram(data,[0:0.1:5 Inf])
xlim([0 5])

I've defined the edges of the bins as a vector. The result looks like this:

  2 commentaires
59morgan
59morgan le 14 Avr 2016
hmmm. nice. so, this: [0:0.1:5 Inf] means, go from 0 to 5 in increments of .1 (giving me 50 bins?) and then positive infinity? what's going on with that?
and this: xlim([0 5]) is just setting the range of the x axis? shouldn't that happen automatically, given your bins?
the cyclist
the cyclist le 14 Avr 2016
"histogram(X,edges) sorts X into bins with the bin edges specified by the vector, edges. Each bin includes the left edge, but does not include the right edge, except for the last bin which includes both edges."
In your case,
histogram(data,[0:0.1:5])
would be fine. The Inf will affect whether the last "real" bin includes its right edge or not. (When I include the Inf, then I need to put in the xlim.)

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