# unidpdf

Discrete uniform probability density function

Y = unidpdf(X,N)

## Description

Y = unidpdf(X,N) computes the discrete uniform pdf at each of the values in X using the corresponding maximum observable value in N. X and N can be vectors, matrices, or multidimensional arrays that have the same size. A scalar input is expanded to a constant array with the same dimensions as the other inputs. The parameters in N must be positive integers.

The discrete uniform pdf is

$y=f\left(x|N\right)=\frac{1}{N}{I}_{\left(1,...,N\right)}\left(x\right)$

You can think of y as the probability of observing any one number between 1 and n.

## Examples

For fixed n, the uniform discrete pdf is a constant.

y = unidpdf(1:6,10)
y =
0.1000  0.1000  0.1000  0.1000  0.1000  0.1000

Now fix x, and vary n.

likelihood = unidpdf(5,4:9)
likelihood =
0  0.2000  0.1667  0.1429  0.1250  0.1111

## Version History

Introduced before R2006a