condsim1: Observation Generator
In joemckean/mathstat: Introduction to Mathematical Statistics R Package
Description
Usage
Arguments
Details
Value
References
Examples
Description
this algorithm generates observations from the probability
density function
Usage
1
condsim1(nsims)
Arguments
nsims
a positive non-zero number, the amout of times you want it
to generate an observation
Details
observation is generated with this Mathmatical function:
log(1-runif(1))+.5*log(1-runif(1))
Value
a list of numeric observations
References
Hogg, R. McKean, J. Craig, A. (2018) Introduction to
Mathematical Statistics, 8th Ed. Boston: Pearson.
Examples
1
2
nsims <- 5
obs <- condsim1(nsims)
joemckean/mathstat documentation built on May 30, 2019, 2:01 p.m.
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.
Description Usage Arguments Details Value References Examples
Description
this algorithm generates observations from the probability density function
Usage
1 | condsim1(nsims)
|
Arguments
nsims |
a positive non-zero number, the amout of times you want it to generate an observation |
Details
observation is generated with this Mathmatical function: log(1-runif(1))+.5*log(1-runif(1))
Value
a list of numeric observations
References
Hogg, R. McKean, J. Craig, A. (2018) Introduction to Mathematical Statistics, 8th Ed. Boston: Pearson.
Examples
1 2 | nsims <- 5
obs <- condsim1(nsims)
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.