Description
This function plots a histogram of the data vector using the
classes x. When the number n of classes is provided
instead of x, the classes are chosen equally spaced and
x(1) = min(data) < x(2) = x(1) + dx < ... < x(n+1) = max(data)
with dx = (x(n+1)-x(1))/n.
The classes are defined by C1 = [x(1), x(2)] and Ci = ( x(i), x(i+1)] for i >= 2.
Noting Nmax the total number of data (Nmax = length(data)) and Ni the number
of data components falling in Ci, the value of the histogram for x in Ci
is equal to Ni/(Nmax (x(i+1)-x(i))) when normalization is true
(default case) and else, simply equal to Ni. When normalization occurs the
histogram verifies:
when x(1)<=min(data) and max(data) <= x(n+1)
Any plot2d (optional) parameter may be provided; for instance to
plot a histogram with the color number 2 (blue if std colormap is used) and
to restrict the plot inside the rectangle [-3,3]x[0,0.5],
you may use histplot(n,data, style=2, rect=[-3,0,3,0.5]).
Frequency polygon is a line graph drawn by joining all the midpoints of the top of the bins of a histogram.
Therefore we can use histplot function to plot a polygon frequency chart.
The optional argument polygon connects the midpoint of the top of each bar of a histogram with straight lines.
If polygon=%t we will have a histogram with frequency polygon chart.
Enter the command histplot() to see a demo.
