Hi Douglas I would go for a different command then aov. something like: ?cor or ?cor.test To also get the p value of the correlation.
Cheers, Tal On Sat, Apr 25, 2009 at 8:27 AM, drmh <douglasrmhol...@googlemail.com>wrote: > > (Have searched for this already) > > Hi, > > How do you find the strength of correlation between two variables using an > ANOVA table? "Pr(>F)" gives the statistical significance of the > association, but not the strength of the correlation. > > See data (from R) below > > Readable: > "Df" "Sum Sq" "Mean Sq" "F value" > "Pr(>F)" > "pre" 1 0.00593 0.00593936 > 0.7450563 0.401636958677004 > "coh" 1 0.04311 0.04311302 > 5.4082639 > 0.0344751749542619 > "Residuals" 15 0.11957 0.00797169 NA > NA > > Original: > "Df" "Sum Sq" "Mean Sq" "F value" "Pr(>F)" > "pre" 1 0.0059393604629317 0.0059393604629317 0.745056336657567 > 0.401636958677004 > "coh" 1 0.0431130207164516 0.0431130207164516 5.40826398359156 > 0.0344751749542619 > "Residuals" 15 0.119575396598395 0.00797169310655964 NA NA > > Any help would be greatly appreciated, > Douglas Holmes > -- > View this message in context: > http://www.nabble.com/ANOVA-statistics-question-tp23231563p23231563.html > Sent from the R help mailing list archive at Nabble.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. > -- ---------------------------------------------- My contact information: Tal Galili Phone number: 972-50-3373767 FaceBook: Tal Galili My Blogs: http://www.r-statistics.com/ http://www.talgalili.com http://www.biostatistics.co.il [[alternative HTML version deleted]] ______________________________________________ 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.
