I think you'll have to compare FDIST to pf() and not df()
Best regards Frede Aakmann Tøgersen Scientist UNIVERSITY OF AARHUS Faculty of Agricultural Sciences Dept. of Genetics and Biotechnology Blichers Allé 20, P.O. BOX 50 DK-8830 Tjele Phone: +45 8999 1900 Direct: +45 8999 1878 E-mail: [EMAIL PROTECTED] Web: http://www.agrsci.org This email may contain information that is confidential. Any use or publication of this email without written permission from Faculty of Agricultural Sciences is not allowed. If you are not the intended recipient, please notify Faculty of Agricultural Sciences immediately and delete this email. > -----Oprindelig meddelelse----- > Fra: [EMAIL PROTECTED] > [mailto:[EMAIL PROTECTED] På vegne af Luis Ridao Cruz > Sendt: 7. august 2007 12:27 > Til: r-help@stat.math.ethz.ch > Emne: [R] R and excell differences in calculation F > distributionfunction > > R-help, > > I'm trying to work out the density function by doing: > > > df(5.22245, 3, 22) > [1] 0.005896862 > > > df(15.20675, 6, 4) > [1] 0.001223825 > > > In excell the result is : > > 0.0071060464 <*> FDIST(5.22245,3,22) > > 0.0100001406 <--> FDIST(15.20675,6,4) > > > >From my point of view the differences in the second case > are substantial. > > Can anyone give me a hint on this? > > Thanks in advance > > > > > > > > ---------------------------------------------------------------- > Luis Ridao Cruz > Faroese Fisheries Laboratory > Nóatún 1, P.O. Box 3051 > FR-110 Tórshavn > Faroe Islands > Tel : (+298) 353900, Tel (direct) : (+298) 353912 > Mob.:(+298) 580800, Fax: : (+298) 353901 > E-mail: [EMAIL PROTECTED] > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
