On Wed, 30 Nov 2005 [EMAIL PROTECTED] wrote: > 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".
There is no class 'numerical': I presume you mean 'numeric'. > 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. aov() is the function for anova modelling. so you want aov(A ~ B, data = DATA) # fixed effects aov(A ~ Error(B), data = DATA) # random effects but a 1-way ANOVA with fixed or random effects is the same analysis, and only the interpretation differs. -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ [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
