Hi Folks, I have repeated measures for data on association time (under 2 acoustic condtions) in male and female frogs as they grow to adulthood (6 timepoints). Thus, two within-subject variables (Acoustic Condition: 2 levels, Timepoint: 6 levels) and one between-subject variable (Sex:male or female).
I am pretty sure my distributions depart from normality but I would first like to simply run a RM anova on the data. My problem is that when I do this I generate different values of F for my main effects and interaction when I do the analysis in [R] and SPSS - so I don't know which one to believe. Here is my code in R: >mydata.tab=read.delim("mydata.txt", header=T) #read in my data >mydata.tab$Timepoint=as.factor(mydata.tab$Timepoint) #col headings are factors so df are correct >mydata.tab$Acx.Cond=as.factor(mydata.tab$Acx.Cond) >mydata.tab$Sex=as.factor(mydata.tab$Sex) > aov.F=aov(Targ.Assoc.Time~(Timepoint*Acx.Cond*Sex) + > Error(Subject/(Timepoint*Acx.Cond))+(Sex), data=mydata.tab) #run aov where i look at the main effects of Timepoint, Acoustic Condition and Sex as well as all the interactions therein on the amount of time a frog spends associating with the target sound. Include anything to do with Subject in the error term. Does this look right for a Repeated Measures ANOVA, or am I missing something to make it RM and that explains the large discrepancies in my F-values between [R] and SPSS? As soon as I get this canonical aov code figured out I want to derive my p-values by bootstrapping my F distributions, but first I need those canonical F's. Thanks -Alex -- Alexander T Baugh Section of Integrative Biology Univ. of Texas at Austin C0930 Austin, TX 78712 http://darktropic.blogspot.com/ ______________________________________________ R-help@r-project.org 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.