FisherF {distributions3} | R Documentation |
Create an F distribution
Description
Create an F distribution
Usage
FisherF(df1, df2, lambda = 0)
Arguments
df1 |
Numerator degrees of freedom. Can be any positive number. |
df2 |
Denominator degrees of freedom. Can be any positive number. |
lambda |
Non-centrality parameter. Can be any positive number.
Defaults to |
Details
We recommend reading this documentation on https://alexpghayes.github.io/distributions3/, where the math will render with additional detail.
TODO
Value
A FisherF
object.
See Also
Other continuous distributions:
Beta()
,
Cauchy()
,
ChiSquare()
,
Erlang()
,
Exponential()
,
Frechet()
,
GEV()
,
GP()
,
Gamma()
,
Gumbel()
,
LogNormal()
,
Logistic()
,
Normal()
,
RevWeibull()
,
StudentsT()
,
Tukey()
,
Uniform()
,
Weibull()
Examples
set.seed(27)
X <- FisherF(5, 10, 0.2)
X
random(X, 10)
pdf(X, 2)
log_pdf(X, 2)
cdf(X, 4)
quantile(X, 0.7)
cdf(X, quantile(X, 0.7))
quantile(X, cdf(X, 7))
[Package distributions3 version 0.2.1 Index]