histfit - Histogram with normal fit

Syntax

Description

histfit(data) plots a histogram of the values in the vector data using the number of bins equal to the square root of the number of elements in data, then superimposes a fitted normal distribution.

histfit(data,nbins) uses nbins bins for the histogram.

histfit(data,nbins,dist) plots a histogram with a density from the distribution specified by dist, one of the following strings:

• 'beta'

• 'birnbaumsaunders'

• 'exponential'

• 'extreme value' or ev'

• 'gamma'

• 'generalized extreme value' or 'gev'

• 'generalized pareto' or 'gp'

• 'inversegaussian'

• 'logistic'

• 'loglogistic'

• 'lognormal'

• 'nakagami'

• 'negative binomial' or 'nbin'

• 'normal' (default)

• 'poisson'

• 'rayleigh'

• 'rician'

• 'tlocationscale'

• 'weibull' or 'wbl'

h = histfit(...) returns a vector of handles h, where h(1) is the handle to the histogram and h(2) is the handle to the normal curve.

Examples

r = normrnd(10,1,100,1);
histfit(r)
h = get(gca,'Children');
set(h(2),'FaceColor',[.8 .8 1])

See Also

hist | normfit

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