## The Uniform Distribution

## Usage

    dunif(x, min=0, max=1)
    punif(q, min=0, max=1)
    qunif(p, min=0, max=1)
    runif(n, min=0, max=1)

## Arguments

`x,q` | vector of quantiles.
`p` | vector of probabilities.
`n` | number of observations to generate.
`min,max` | lower and upper limits of the distribution.

## Description

These functions provide information about the uniform distribution on the interval from `min` to `max`. `dunif` gives the density, `punif` gives the distribution function `qunif` gives the quantile function and `runif` generates random deviates.

If `min` or `max` are not specified they assume the default values of `0` and `1` respectively.

The uniform distribution has density

f(x) = 1/(max-min)

for min <= x <= max.

## See Also

`.Random.seed` about random number generation, `rnorm`, etc for other distributions.

## Examples

    var(runif(10000))#- ~ = 1/12 = .08333

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