Discrete uniform distribution with min \(a\) and max \(b\).
Usage
pUnifD(q, min = 0, max = 1)
dUnifD(x, min = 0, max = 1)
varUnifD(min = 0, max = 1)
expValUnifD(min = 0, max = 1)
Value
Function :
dUnifD gives the probability density function (PDF).
pUnifD gives the cumulative density function (CDF).
expValUnifD gives the expected value.
varUnifD gives the variance.
Invalid parameter values will return an error detailing which parameter is problematic.
Arguments
min, max
lower and upper limits of the distribution. Must be finite.
x, q
vector of quantiles.
Details
The (discrete) uniform distribution with min and max parameters \(a\)
and \(b\) respectively has density:
$$\textrm{Pr}\left(X = x \right) = \frac{1}{b - a + 1}$$
for \(x \in \{a, a + 1, \dots, b - 1, b\}\).