Skip to content

F cumulative distribution function

4 messages · Hsih-Te Yang, ONKELINX, Thierry, (Ted Harding) +1 more

#
Have a look at qf() and pf()

HTH,

Thierry

------------------------------------------------------------------------
----
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek
team Biometrie & Kwaliteitszorg
Gaverstraat 4
9500 Geraardsbergen
Belgium

Research Institute for Nature and Forest
team Biometrics & Quality Assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium

tel. + 32 54/436 185
Thierry.Onkelinx at inbo.be
www.inbo.be

To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to
say what the experiment died of.
~ Sir Ronald Aylmer Fisher

The plural of anecdote is not data.
~ Roger Brinner

The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of
data.
~ John Tukey
#
On 12-Oct-10 13:49:07, Hsih-Te Yang wrote:
The equibalent in R of P = fcdf(X,V1,V2) (as in your URL) is

  P <- pf(X,V1,V2)

where X,V2,V2 should be vectors of the same length.

Note that R's pf offers additional functionality, such as a
non-centrality paramater for the no-centgral F distribution.

Enter '?pf' for more detailed information.

Ted.

--------------------------------------------------------------------
E-Mail: (Ted Harding) <ted.harding at wlandres.net>
Fax-to-email: +44 (0)870 094 0861
Date: 12-Oct-10                                       Time: 15:22:18
------------------------------ XFMail ------------------------------
#
Hi,
see
?pf

Generally in R '(d/p/q/r)distribution' stands for density, cdf,
quantiles and random numbers for a given distribution as norm, t, unif,
chisq etc
hth

Am 12.10.2010 15:49, schrieb Hsih-Te Yang: