ST_Ordered: Simulating Random Observations from an Arbitrary Distribution
In ACSWR: A Companion Package for the Book "A Course in Statistics with R"
Description
Usage
Arguments
Author(s)
See Also
Examples
Description
An implementation of the algorithm for simulation of observations from an arbitrary discrete distribution is provided here.
Usage
1
ST_Ordered(N, x, p_x)
Arguments
N
number of required random observations
x
the possible values of the RV
p_x
the probability vector associated with x
Author(s)
Prabhanjan N. Tattar
See Also
sample
Examples
1
2
3
4
N <- 1e4
x <- 1:10
p_x <- c(0.05,0.17,0.02,0.14,0.11,0.06,0.05,0.04,0.17,0.19)
table(ST_Ordered(N, x, p_x))
ACSWR documentation built on May 2, 2019, 6:53 a.m.
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Description Usage Arguments Author(s) See Also Examples
Description
An implementation of the algorithm for simulation of observations from an arbitrary discrete distribution is provided here.
Usage
1 | ST_Ordered(N, x, p_x)
|
Arguments
N |
number of required random observations |
x |
the possible values of the RV |
p_x |
the probability vector associated with x |
Author(s)
Prabhanjan N. Tattar
See Also
sample
Examples
1 2 3 4 | N <- 1e4
x <- 1:10
p_x <- c(0.05,0.17,0.02,0.14,0.11,0.06,0.05,0.04,0.17,0.19)
table(ST_Ordered(N, x, p_x))
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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