histfit
Histogram with a distribution fit
Description
histfit( plots a histogram of values in
data)data using the number of bins equal to the square root of
the number of elements in data and fits a normal density
function.
Examples
Generate a sample of size 100 from a normal distribution with mean 10 and variance 1.
rng default; % For reproducibility r = normrnd(10,1,100,1);
Construct a histogram with a normal distribution fit.
histfit(r)
histfit uses fitdist to fit a distribution to data. Use fitdist to obtain parameters used in fitting.
pd = fitdist(r,'Normal')pd =
NormalDistribution
Normal distribution
mu = 10.1231 [9.89244, 10.3537]
sigma = 1.1624 [1.02059, 1.35033]
The intervals next to the parameter estimates are the 95% confidence intervals for the distribution parameters.
Generate a sample of size 100 from a normal distribution with mean 10 and variance 1.
rng default; % For reproducibility r = normrnd(10,1,100,1);
Construct a histogram using six bins with a normal distribution fit.
histfit(r,6)
Generate a sample of size 100 from a beta distribution with parameters (3,10).
rng default; % For reproducibility b = betarnd(3,10,100,1);
Construct a histogram using 10 bins with a beta distribution fit.
histfit(b,10,'beta')
Generate a sample of size 100 from a beta distribution with parameters (3,10).
rng default; % For reproducibility b = betarnd(3,10,[100,1]);
Construct a histogram using 10 bins with a smoothing function fit.
histfit(b,10,'kernel')
Generate a sample of size 100 from a normal distribution with mean 3 and variance 1.
rng('default') % For reproducibility r = normrnd(3,1,100,1);
Create a figure with two subplots and return the Axes objects as ax1 and ax2. Create a histogram with a normal distribution fit in each set of axes by referring to the corresponding Axes object. In the left subplot, plot a histogram with 10 bins. In the right subplot, plot a histogram with 5 bins. Add a title to each plot by passing the corresponding Axes object to the title function.
ax1 = subplot(1,2,1); % Left subplot histfit(ax1,r,10,'normal') title(ax1,'Left Subplot') ax2 = subplot(1,2,2); % Right subplot histfit(ax2,r,5,'normal') title(ax2,'Right Subplot')
Generate a sample of size 100 from a normal distribution with mean 10 and variance 1.
rng default % for reproducibility r = normrnd(10,1,100,1);
Construct a histogram with a normal distribution fit.
h = histfit(r,10,'normal')
h = 2×1 graphics array: Bar Line
Change the bar colors of the histogram.
h(1).FaceColor = [.8 .8 1];
Change the color of the density curve.
h(2).Color = [.2 .2 .2];
Input Arguments
Output Arguments
Algorithms
histfit uses fitdist to fit a distribution to data. Use fitdist to
obtain parameters used in fitting.
Extended Capabilities
Version History
Introduced before R2006a
