extreme | R Documentation |
Density function, distribution function, quantile function and random generation for the maximum/minimum of a given number of independent variables from a specified distribution.
dextreme(x, densfun, distnfun, ..., distn, mlen = 1, largest = TRUE,
log = FALSE)
pextreme(q, distnfun, ..., distn, mlen = 1, largest = TRUE,
lower.tail = TRUE)
qextreme(p, quantfun, ..., distn, mlen = 1, largest = TRUE,
lower.tail = TRUE)
rextreme(n, quantfun, ..., distn, mlen = 1, largest = TRUE)
x , q |
Vector of quantiles. |
p |
Vector of probabilities. |
n |
Number of observations. |
densfun , distnfun , quantfun |
Density, distribution and
quantile function of the specified distribution. The density
function must have a |
... |
Parameters of the specified distribution. |
distn |
A character string, optionally given as an
alternative to |
mlen |
The number of independent variables. |
largest |
Logical; if |
log |
Logical; if |
lower.tail |
Logical; if |
dextreme
gives the density function, pextreme
gives the
distribution function and qextreme
gives the quantile function
of the maximum/minimum of mlen
independent variables from
a specified distibution. rextreme
generates random deviates.
rgev
, rorder
dextreme(2:4, dnorm, pnorm, mean = 0.5, sd = 1.2, mlen = 5)
dextreme(2:4, distn = "norm", mean = 0.5, sd = 1.2, mlen = 5)
dextreme(2:4, distn = "exp", mlen = 2, largest = FALSE)
pextreme(2:4, distn = "exp", rate = 1.2, mlen = 2)
qextreme(seq(0.9, 0.6, -0.1), distn = "exp", rate = 1.2, mlen = 2)
rextreme(5, qgamma, shape = 1, mlen = 10)
p <- (1:9)/10
pexp(qextreme(p, distn = "exp", rate = 1.2, mlen = 1), rate = 1.2)
## [1] 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.