R: The Uniform Distribution

Uniform {base} | R Documentation

## The Uniform 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.

### Usage

    dunif(x, min=0, max=1, log = FALSE)
    punif(q, min=0, max=1, lower.tail = TRUE, log.p = FALSE)
    qunif(p, min=0, max=1, lower.tail = TRUE, log.p = FALSE)
    runif(n, min=0, max=1)

### Arguments

`x,q` | vector of quantiles.
`p` | vector of probabilities.
`n` | number of observations. If `length(n) > 1`, the length is taken to be the number required.
`min,max` | lower and upper limits of the distribution.
`log, log.p` | logical; if TRUE, probabilities p are given as log(p).
`lower.tail` | logical; if TRUE (default), probabilities are P[X <= x], otherwise, P[X > x].

### Details

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.

For the case of u := min == max, the limit case of X == u is assumed.

### See Also

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

### Examples

    u <- runif(20)

    ## The following relations always hold :
     punif(u) == u
     dunif(u) == 1
     runif(10, 2,2) == 2

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

[Package Contents]