search for: burmester

Displaying 4 results from an estimated 4 matches for "burmester".

2005 Aug 06
1
problems with function-formating, please help
...- 1.60638946783994e-05 + 384.649339378693 * x1 - 168.920548209815 * x2 - 693.51261768584 * x3 + 479.305764753298 * x1 * x3" instead of the correct values (like 1.057852e-01, see result-array[1,1] some lines above) please help me, i am blocked since 2 days already by that stupid problem joerg burmester Phone: +49-(0)4131-40898-5 Mobile Phone: +49-(0)177-4812371 Fax: +49-(0)4131-40898-7 Email: joerg-burmester@gmx.net [[alternative HTML version deleted]]
2003 Jul 10
2
please help on frag polynoms
hi there, can anyone help me on the topic of frag polynoms? i just heard of a friend of mine, that i could build in a functioon called fragpoly (he was talking of such a function in the 'stata' language) in order to improve my process of finding an optimal linear model. instead of trying a vast amount of transformed inputdata to find the best fit and then step backwards down to e.g.
2003 Jul 07
1
P-value for F from summary.lm (was RE: (no subject))
...F-statistic and the associated numerator and denominator degrees of freedom. You can get the p-value by something like: fstat <- summary(speciallinearmodel)$fstatistic pval <- pf(fstat[1], fstat[2], fstat[3], lower.tail=FALSE) HTH, Andy > -----Original Message----- > From: joerg-burmester at gmx.net [mailto:joerg-burmester at gmx.net] > Sent: Monday, July 07, 2003 7:50 AM > To: R-help at stat.math.ethz.ch > Cc: amaitour at pasteur.fr; bitwrit at ozemail.com.au; > p.dalgaard at biostat.ku.dk; gregor.gawron at rmf.ch; > mditzen at zedat.fu-berlin.de > Subject: [R]...
2003 Jul 07
0
(no subject)
hi, can anyone help me about the simple data probability-value of the F-test, respectively p-value, shown in the summary of a linear model? somehow i can not retrieve this data out of R+ into my sql-dataset. i can get all other data shown with the command: summary(speciallinearmodel) - will have a gui screen Call: lm(formula = y21 ~ x4 + x18 + x4:x18, data = clustertransformationstabelle)