Examples
f = figure();
for i = 1:4
subplot(2, 2, i)
hist(randn(1000, 1), 50)
end
hist(x)
hist(x, nbins)
hist(ax, ...)
counts = hist(...)
[counts, centers] = hist(...)
| Parameter | Description |
|---|---|
| x | vector or matrix |
| nbins | vector. |
| ax | Axes object. |
| Parameter | Description |
|---|---|
| counts | Counts of the number of elements in each bin: row vector. |
| centers | Bin centers: vector. |
A histogram is a graphical representation that illustrates the distribution of data values.
When you use the hist function, it organizes the elements in the vector Y into 10 equally spaced containers and provides the count of elements in each container as a row vector.
hist(Y, x) with a vector x, the function will return the distribution of values in Y among bins determined by the length of x, with centers specified by the values in x.
For instance, if x is a 5-element vector, hist will categorize the elements of Y into five bins, each centered on the x-axis at the values specified in x.
When you use hist(...) without specifying any output arguments, it generates a histogram plot. The bins are distributed along the x-axis between the minimum and maximum values found in the input vector Y.
f = figure();
for i = 1:4
subplot(2, 2, i)
hist(randn(1000, 1), 50)
end| Version | Description |
|---|---|
| 1.0.0 | initial version |