m2df {distrEx} | R Documentation |
Generic function for the computation of clipped second moments
Description
Generic function for the computation of clipped second moments.
The moments are clipped at upper
.
Usage
m2df(object, upper)
Arguments
object |
object of class "Distribution" |
upper |
clipping bound |
Details
The precision of the computations can be controlled via
certain global options; cf. distrExOptions
.
Value
The second moment of object
clipped at upper
is computed.
Methods
- object = "UnivariateDistribution":
- clipped first moment
for univariate distributions which is computed using
crude Monte-Carlo integration.
- object = "AbscontDistribution":
- clipped first moment
for absolutely continuous univariate distributions which is
computed using
integrate
.
- object = "DiscreteDistribution":
- clipped first moment
for discrete univariate distributions which is computed
using
support
and sum
.
- object = "Binom":
- clipped first moment
for Binomial distributions which is computed using
pbinom
.
- object = "Pois":
- clipped first moment
for Poisson distributions which is computed using
ppois
.
- object = "Norm":
- clipped first moment
for normal distributions which is computed using
dnorm
and pnorm
.
- object = "Exp":
- clipped first moment
for exponential distributions which is computed using
pexp
.
- object = "Chisq":
- clipped first moment
for Chi^2 distributions which is computed using
pchisq
.
Author(s)
Matthias Kohl Matthias.Kohl@stamats.de
See Also
m2df-methods
, E-methods
Examples
# standard normal distribution
N1 <- Norm()
m2df(N1, 0)
# Poisson distribution
P1 <- Pois(lambda=2)
m2df(P1, 3)
# absolutely continuous distribution
D1 <- Norm() + Exp() # convolution
m2df(D1, 2)
m2df(D1, Inf)
E(D1, function(x){x^2})
[Package
distrEx version 2.0.5
Index]