# Unif-class

From distr v2.6
by Peter Ruckdeschel

##### Class "Unif"

The uniform distribution has density
$$d(x) = \frac{1}{max-min}$$
for $min$, by default $=0$, $\le x \le max$, by default $=1$.
C.f. `runif`

- Keywords
- distribution

##### Objects from the Class

Objects can be created by calls of the form `Unif(Min, Max)`

.
This object is a uniform distribution.

##### Slots

`img`

- Object of class
`"Reals"`

: The space of the image of this distribution has got dimension 1 and the name "Real Space". `param`

- Object of class
`"UnifParameter"`

: the parameter of this distribution (Min and Max), declared at its instantiation `r`

- Object of class
`"function"`

: generates random numbers (calls function`runif`

) `d`

- Object of class
`"function"`

: density function (calls function`dunif`

) `p`

- Object of class
`"function"`

: cumulative function (calls function`punif`

) `q`

- Object of class
`"function"`

: inverse of the cumulative function (calls function`qunif`

) `.withArith`

- logical: used internally to issue warnings as to interpretation of arithmetics
`.withSim`

- logical: used internally to issue warnings as to accuracy
`.logExact`

- logical: used internally to flag the case where there are explicit formulae for the log version of density, cdf, and quantile function
`.lowerExact`

- logical: used internally to flag the case where there are explicit formulae for the lower tail version of cdf and quantile function
`Symmetry`

- object of class
`"DistributionSymmetry"`

; used internally to avoid unnecessary calculations.

##### Extends

Class `"AbscontDistribution"`

, directly.
Class `"UnivariateDistribution"`

, by class `"AbscontDistribution"`

.
Class `"Distribution"`

, by class `"AbscontDistribution"`

.

##### Is-Relations

By means of `setIs`

, R ``knows'' that a distribution object `obj`

of class `"Unif"`

with Min 0 and Max 1 also is
a Beta distribution with parameters `shape1 = 1, shape2 = 1, ncp = 0`

.

##### Methods

- initialize
`signature(.Object = "Unif")`

: initialize method- Min
`signature(object = "Unif")`

: returns the slot`Min`

of the parameter of the distribution- Min<-
`signature(object = "Unif")`

: modifies the slot`Min`

of the parameter of the distribution- Max
`signature(object = "Unif")`

: returns the slot`Max`

of the parameter of the distribution- Max<-
`signature(object = "Unif")`

: modifies the slot`Max`

of the parameter of the distribution- *
`signature(e1 = "Unif", e2 = "numeric")`

: multiplication of this uniform distribution by an object of class `numeric'- +
`signature(e1 = "Unif", e2 = "numeric")`

: addition of this uniform distribution to an object of class `numeric'

##### See Also

`UnifParameter-class`

`AbscontDistribution-class`

`Reals-class`

`runif`

##### Examples

```
U <- Unif(Min=0,Max=2) # U is a uniform distribution with Min=0 and Max=2.
r(U)(1) # one random number generated from this distribution, e.g. 1.984357
d(U)(1) # Density of this distribution is 0.5 for x=1.
p(U)(1) # Probability that x<1 is 0.5.
q(U)(.1) # Probability that x<0.2 is 0.1.
Min(U) # Min of this distribution is 0.
Min(U) <- 1 # Min of this distribution is now 1.
Min(U) # Min of this distribution is 1.
Min(U) <- 0
is(U/2,"Beta") # yes
V <- U/2; as(V,"Beta")
```

*Documentation reproduced from package distr, version 2.6, License: LGPL-3*

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