Slash | R Documentation |
Probability mass function, distribution function and random generation for slash distribution.
dslash(x, mu = 0, sigma = 1, log = FALSE)
pslash(q, mu = 0, sigma = 1, lower.tail = TRUE, log.p = FALSE)
rslash(n, mu = 0, sigma = 1)
x , q |
vector of quantiles. |
mu |
vector of locations |
sigma |
vector of positive valued scale parameters. |
log , log.p |
logical; if TRUE, probabilities p are given as log(p). |
lower.tail |
logical; if TRUE (default), probabilities are |
n |
number of observations. If |
If Z \sim \mathrm{Normal}(0, 1)
and U \sim \mathrm{Uniform}(0, 1)
,
then Z/U
follows slash distribution.
Probability density function
f(x) = \left\{\begin{array}{ll}
\frac{\phi(0) - \phi(x)}{x^2} & x \ne 0 \\
\frac{1}{2\sqrt{2\pi}} & x = 0
\end{array}\right.
Cumulative distribution function
F(x) = \left\{\begin{array}{ll}
\Phi(x) - \frac{\phi(0)-\phi(x)}{x} & x \neq 0 \\
\frac{1}{2} & x = 0
\end{array}\right.
x <- rslash(1e5, 5, 3)
hist(x, 1e5, freq = FALSE, xlim = c(-100, 100))
curve(dslash(x, 5, 3), -100, 100, col = "red", n = 500, add = TRUE)
hist(pslash(x, 5, 3))
plot(ecdf(x), xlim = c(-100, 100))
curve(pslash(x, 5, 3), -100, 100, col = "red", lwd = 2, n = 500, add = TRUE)
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