Description Objects from the Class Slots Methods Author(s) Examples
Objects of class /empirical/ gives the possibility to store in a standardized
way, all necessary pieces of information about the empirical definition
of a probability distribution by means of weights at given values
and/or a continuous density linearly piecewise defined. These
distributions can easily be truncated only by changing their
support. The final user does not have to bother about real (summing to
one) probability : the normalize8empirical
function was written
for this purpose.
Objects can be created by calls of the form new("empirical",...)
.
des
:Object of class "des"
describing the object.
sup
:Object of class "numeric(2)"
providing the
support for the random variable.
repa
:Object of class "numeric(2)"
giving the
proportion of the discrete (@repa[1]
) part and the
continuous (@repa[2]
) one.
xw
:A matrix with two columns, each row being
dedicated to a weight: @xw[,1]
for the random variable
values and @xw[,2]
for the associated non negative weights.
xy
:A matrix with two columns, each row being
dedicated to a point of the continuous density: @xw[,1]
for
the random variable values and @xw[,2]
for the associated
value of the density. The first and last value of the density must
be zero
see print8empirical
for the details.
see plot8empirical
for the details.
Jean-Baptiste Denis
1 2 | rbsb3k("RESET");
print.default(rbsb.epi5);
|
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