Discrete uniform distribution
Probability mass function, distribution function, quantile function and random generation for the discrete uniform distribution.
ddunif(x, min, max, log = FALSE) pdunif(q, min, max, lower.tail = TRUE, log.p = FALSE) qdunif(p, min, max, lower.tail = TRUE, log.p = FALSE) rdunif(n, min, max)
x, q |
vector of quantiles. |
min, max |
lower and upper limits of the distribution. Must be finite. |
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]. |
p |
vector of probabilities. |
n |
number of observations. If |
If min == max, then discrete uniform distribution is a degenerate distribution.
x <- rdunif(1e5, 1, 10) xx <- -1:11 plot(prop.table(table(x)), type = "h") lines(xx, ddunif(xx, 1, 10), col = "red") hist(pdunif(x, 1, 10)) xx <- seq(-1, 11, by = 0.01) plot(ecdf(x)) lines(xx, pdunif(xx, 1, 10), col = "red")
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