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test <- data.frame(day.1=c(2,3,3,6,1), day.4=c(7,2,4,6,3), day.8=c(2,8,7,8,4)) test test.long <- reshape(test, direction="long", varying=c("day.1","day.4","day.8"), v.names="response", timevar="day", times=names(test)) test.long$day <- factor(test.long$day) test.long aov(response ~ day, data=test.long) I hope that this helps, Andrew On Thu, Sep 14, 2006 at 09:23:13AM +0100, Russell Compton wrote: > Despite having used R on a daily basis for the past two years, I'm > encountering some difficulty performing an ANOVA on my data. What I'm trying > to do is the following: > > > > Given data such as: > > > > Day 1 Day 4 Day 8 > > 2 7 2 > > 3 2 8 > > 3 4 7 > > 6 6 8 > > 1 3 4 > > > > I want to use ANOVA to determine if there is a significant change over the > three days. In other stats packages I have used, I can just select this data > and run the ANOVA function and get the F and p values. However in R, the > anova function seems to only work with a fitted model, eg. Linear > regression. This function seems to assume there is a relationship such as > day1~ day 4 + day 8, but in my case there isn't - I just want to perform an > ANOVA without regression. If anyone could point me in the right direction > I'd greatly appreciate it, > > > > Thanks > > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. -- Andrew Robinson Department of Mathematics and Statistics Tel: +61-3-8344-9763 University of Melbourne, VIC 3010 Australia Fax: +61-3-8344-4599 Email: [EMAIL PROTECTED] http://www.ms.unimelb.edu.au ______________________________________________ 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.