I'm sorry if I wasn't clear.... There are repeated measures for each level of my factor. For instance, the dataframe could look like that:
A B 12.0 1 12.3 1 15 1 12.9 2 16.7 2 15.4 2 23.5 3 9.6 3 7.8 3 In order to fit a random effects, is right to apply: lme(A~1,data=DATA,random=~1|B) ? Giuseppe Quoting giovanni parrinello <[EMAIL PROTECTED]>: > La domanda è poco chiara! Ci sono misure ripetute? > Senza queste informazioni non so può rispondere.. > Giovanni Parrinello > ----- Original Message ----- > From: <[EMAIL PROTECTED]> > To: <[email protected]> > Sent: Wednesday, November 30, 2005 11:19 AM > Subject: [R] Random Effects for One-Way Anova > > >> Hello to All. >> I'd want to use a one-way ANOVA. This means that I have only one factor, > with, >> lets say, 5 levels. >> I made a dataframe, called "DATA", with two Columns: >> A, that is my response, and it is "class numerical". >> B, that defines the different levels of my factor, and it is "class > factor". >> >> If I want to use a fixed effect model, >> I know that the formula I have to use is: >> lm.1 <- lm(A~B,data=DATA) >> anova(lm.1) >> >> My questions is: >> which formula should I use if I want to use a random effects model? >> I think I should use "lme", but I don't know how. >> >> I hope to get a reply >> Best wishes to all >> Giuseppe >> >> ______________________________________________ >> [email protected] mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html >> > > ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
