udf | R Documentation |
Create UNU.RAN object for an F distribution with mean
with df1
and df2
degrees of freedom.
[Distribution] – F.
udf(df1, df2, lb=0, ub=Inf)
df1, df2 |
(strictly positive) degrees of freedom. Non-integer values allowed. |
lb |
lower bound of (truncated) distribution. |
ub |
upper bound of (truncated) distribution. |
The F distribution with df1 =
n1 and df2 =
n2 degrees of freedom has density
f(x) = Gamma((n1 + n2)/2) / (Gamma(n1/2) Gamma(n2/2)) * (n1/n2)^(n1/2) x^(n1/2 - 1) * (1 + (n1/n2) x)^(-(n1 + n2)/2)
for x > 0.
The domain of the distribution can be truncated to the
interval (lb
,ub
).
An object of class "unuran.cont"
.
Josef Leydold and Wolfgang H\"ormann unuran@statmath.wu.ac.at.
N.L. Johnson, S. Kotz, and N. Balakrishnan (1995): Continuous Univariate Distributions, Volume 2. 2nd edition, John Wiley & Sons, Inc., New York. Chap. 27, p. 332
unuran.cont
.
## Create distribution object for F distribution distr <- udf(df1=3,df2=6) ## Generate generator object; use method PINV (inversion) gen <- pinvd.new(distr) ## Draw a sample of size 100 x <- ur(gen,100)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.