Non-standard beta distribution
Non-standard form of beta distribution with lower and upper bounds
denoted as min and max. By default min=0
and max=1 what leads to standard beta distribution.
dnsbeta(x, shape1, shape2, min = 0, max = 1, log = FALSE) pnsbeta(q, shape1, shape2, min = 0, max = 1, lower.tail = TRUE, log.p = FALSE) qnsbeta(p, shape1, shape2, min = 0, max = 1, lower.tail = TRUE, log.p = FALSE) rnsbeta(n, shape1, shape2, min = 0, max = 1)
x, q |
vector of quantiles. |
shape1, shape2 |
non-negative parameters of the Beta distribution. |
min, max |
lower and upper bounds. |
log, log.p |
logical; if TRUE, probabilities p are given as log(p). |
lower.tail |
logical; if TRUE (default), probabilities are P[X ≤q x], otherwise, P[X > x]. |
p |
vector of probabilities. |
n |
number of observations. If |
x <- rnsbeta(1e5, 5, 13, -4, 8) hist(x, 100, freq = FALSE) curve(dnsbeta(x, 5, 13, -4, 8), -4, 6, col = "red", add = TRUE) hist(pnsbeta(x, 5, 13, -4, 8)) plot(ecdf(x)) curve(pnsbeta(x, 5, 13, -4, 8), -4, 6, col = "red", lwd = 2, add = TRUE)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.