Two-Sided Power {rmutil} | R Documentation |
Two-Sided Power Distribution
Description
These functions provide information about the two-sided power distribution
with location parameter equal to m
and shape equal to
s
: density, cumulative distribution, quantiles, and
random generation.
The two-sided power distribution has density
f(y) = s(\frac{y}{m})^{s-1}, y<=m
f(y) =s(\frac{1-y}{1-m})^{s-1}, y>=m
where \mu
is the location parameter of the distribution and
\sigma
is the shape, and 0<y<1
.
For \sigma=1
, this is the uniform distribution and for
\sigma=2
, it is the triangular distribution.
Usage
dtwosidedpower(y, m, s=2, log=FALSE)
ptwosidedpower(q, m, s=2)
qtwosidedpower(p, m, s=2)
rtwosidedpower(n, m, s=2)
Arguments
y |
vector of responses. |
q |
vector of quantiles. |
p |
vector of probabilities |
n |
number of values to generate |
m |
vector of location parameters. |
s |
vector of shape parameters. |
log |
if TRUE, log probabilities are supplied. |
Author(s)
J.K. Lindsey
References
van Dorp, J.R. and Kotz, S. (2002) A novel extension of the triangular distribution and its parameter estimation. The Statistician 51, 63-79.
See Also
dbeta
for the beta distribution and
dsimplex
for the simplex distribution, other
distributions for proportions between zero and one.
Examples
dtwosidedpower(0.3, 0.5, 3)
ptwosidedpower(0.3, 0.5, 3)
qtwosidedpower(0.1, 0.5, 3)
rtwosidedpower(10, 0.5, 3)