boxMuller: The Box-Muller transformation
In loublanpain/BMI585FinalProjectLouBlanpain: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Details
Value
Examples
Description
Takes two samples from the uniform distribution on the interval [0,1] and maps them to two standard, normally distributed samples.
Usage
1
boxMuller(n = 1)
Arguments
n
The number of samples to be returned.
Details
Uses the following equations to generate the two standard, normally distributed samples:
X1=√{−2log(U_1)}cos(2π U_2)
X2=√{−2log(U_1)}sin(2π U_2)
Value
A vector of samples from the standard normal distribution.
Examples
1
boxMuller(500)
loublanpain/BMI585FinalProjectLouBlanpain documentation built on Dec. 21, 2021, 11:49 a.m.
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Description Usage Arguments Details Value Examples
Description
Takes two samples from the uniform distribution on the interval [0,1] and maps them to two standard, normally distributed samples.
Usage
1 | boxMuller(n = 1)
|
Arguments
n |
The number of samples to be returned. |
Details
Uses the following equations to generate the two standard, normally distributed samples:
X1=√{−2log(U_1)}cos(2π U_2)
X2=√{−2log(U_1)}sin(2π U_2)
Value
A vector of samples from the standard normal distribution.
Examples
1 | boxMuller(500)
|
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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