std: Student Distribution
| dstd | R Documentation |
Student Distribution
Description
Density, distribution, quantile function and random number generation for the student distribution parameterized in terms of mean, standard deviation and shape parameters.
Usage
dstd(x, mu = 0, sigma = 1, shape = 5, log = FALSE)
pstd(q, mu = 0, sigma = 1, shape = 5, lower_tail = TRUE, log = FALSE)
qstd(p, mu = 0, sigma = 1, shape = 5, lower_tail = TRUE, log = FALSE)
rstd(n, mu = 0, sigma = 1, shape = 5)
Arguments
x, q |
vector of quantiles. |
mu |
mean. |
sigma |
standard deviation. |
shape |
shape parameter. |
log |
(logical) if TRUE, probabilities p are given as log(p). |
lower_tail |
if TRUE (default), probabilities are |
p |
vector of probabilities. |
n |
number of observations. |
Value
d gives the density, p gives the distribution function, q gives the quantile function and r generates random deviates. Output depends on x or q length, or n for the random number generator.
