search for: espess

I'm looking for a tutorial or notes on the use of contrasts factor in linear model in R, I've found some mails and infos about in various documents about R, but I've probably missed a good review on this subject. -- Robert Espesser Laboratoire Parole et Langage UMR 6057, CNRS 29 Av. Robert Schuman 13621 AIX (FRANCE) Tel: +33 (0)4 42 95 36 26 Fax: +33 (0)4 42 59 50 96 http://www.lpl.univ-aix.fr/~espesser mailto:Robert.Espesser at lpl.univ-aix.fr

...attr(,"legend") [1] 0 ` ' 0.3 `.' 0.6 `,' 0.8 `+' 0.9 `*' 0.95 `B' 1 I used binaries rpm from CRAN . The same error is obtained with R1.2 on RH6.2 and R.1.3.1-1 on RH7.0 (with the updated glibc2.2). A similar error is obtained with lm. Thank you -- Robert Espesser Laboratoire Parole et Langage ESA 6057, CNRS 29 Av. Robert Schuman 13621 AIX (FRANCE) Tel: +33 (0)4 42 95 36 26 Fax: +33 (0)4 42 59 50 96 http://www.lpl.univ-aix.fr/~espesser mailto:Robert.Espesser at lpl.univ-aix.fr -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-....

...ch are not present in the examples found in the litterature (Baron, puzzle example) ? They seem to appear when the both involved factors have more than 2 levels. Consequently, I am not sure about the rightness and the interpretation of this model. I will really appreciate your help. -- Robert Espesser Laboratoire Parole et Langage UMR 6057, CNRS 29 Av. Robert Schuman 13621 AIX (FRANCE) Tel: +33 (0)4 42 95 36 26 Fax: +33 (0)4 42 59 50 96 http://www.lpl.univ-aix.fr/~espesser mailto:Robert.Espesser at lpl.univ-aix.fr

I'm starting to understand fixed and random effects, but I'm puzzled a bit. Here is an example from Hays's textbook (which is great at explaining fixed vs. random effects, at least to dummies like me), from the section on mixed models. You need library(nlme) in order to run it. ------ task <- gl(3,2,36) # Three tasks, a fixed effect. subj <- gl(6,6,36) # Six subjects, a random