"Paul Smith" <[EMAIL PROTECTED]> writes: > Dear All > > My data consists in 96 groups, each one with 10 observations. Levene's > test suggests that the variances are not equal, and therefore I have > tried to apply the classical transformations to have homocedasticity > in order to be able to use ANOVA. Unfortunately, no transformation > that I have used transforms my data into data with homocedasticity. > The histogram of variances is at > > http://phhs80.googlepages.com/hist1.png > > Is someone able to suggest to me a transformation to overcome the > problem of heterocedasticity?
Not based on that information. Try the following instead: fit <- lm(y~g) par(mfrow=c(2,2)); plot(fit) -- O__ ---- Peter Dalgaard Øster Farimagsgade 5, Entr.B c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907 ______________________________________________ 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.
