>From what I can see the function does not give back this information (either in the print output or the output object structure itself).
The thing is that I have never studied the statistic used for this test, so I am not sure how it works and if giving the SS MS is meaningful or not. But if you want to dig in, simply write in R the command: oneway.test The code that seems to be relevant is near the end: } else { m <- sum(w.i * m.i)/sum.w.i STATISTIC <- sum(w.i * (m.i - m)^2)/((k - 1) * (1 + 2 * (k - 2) * tmp)) PARAMETER <- c(k - 1, 1/(3 * tmp)) PVAL <- pf(STATISTIC, k - 1, 1/(3 * tmp), lower.tail = FALSE) METHOD <- paste(METHOD, "(not assuming equal variances)") } So you could simply copy paste the full code of the function and edit it to extract this information... ----------------Contact Details:------------------------------------------------------- Contact me: tal.gal...@gmail.com | 972-52-7275845 Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | www.r-statistics.com (English) ---------------------------------------------------------------------------------------------- On Tue, Apr 10, 2012 at 5:16 AM, lulumecindy <cindy852...@gmail.com> wrote: > Hello everyone: > I'm a new member of this group. > I have a question about "oneway.test". > When I use "anova(lm(....))" to analysis the > ANOVA, > I can get the information about Sum Sq and Mean > Sq. > (The R code and the results are as follows.) > > > anova(lm(BackCalac~factor(Assay),data=Control)) > Analysis of Variance Table > Response: BackCalac > Df Sum Sq Mean Sq F value Pr(>F) > factor(Assay) 4 270.846 67.711 56.219 1.345e-10 *** > Residuals 20 24.088 1.204 > > But it default the variances are the same. > If the variances aren't equal. I need to use the > "oneway.test" method. > Because oneway.test has the option about > "var.equal=F". > Here, I have a question about "oneway.test", > How can I get "SS", and "MS" information from > "oneway.test"? > My R code and the results are as follows. > Thank you very much. :) > > > oneway.test(BackCalac~factor(Assay), var.equal=T,data=Control) > One-way analysis of means > data: BackCalac and factor(Assay) > F = 56.2191, num df = 4, denom df = 20, p-value = 1.345e-10 > > oneway.test(BackCalac~factor(Assay), var.equal=F,data=Control) > One-way analysis of means (not assuming equal variances) > data: BackCalac and factor(Assay) > F = 92.8834, num df = 4.000, denom df = 9.625, p-value = 1.165e-07 > > > -- > View this message in context: > http://r.789695.n4.nabble.com/How-to-get-the-SS-and-MS-from-oneway-test-tp4544417p4544417.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. > [[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.