Uniform {stats} | R Documentation |
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.
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)
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]. |
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.
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.
.Random.seed
about random number generation,
rnorm
, etc for other distributions.
u <- runif(20) ## The following relations always hold : punif(u) == u dunif(u) == 1 var(runif(10000))#- ~ = 1/12 = .08333