Hi: You need to check that you have the sufficient statistics necessary to obtain an ANOVA table corresponding to the model you intend to fit. If you have that, you can use the vectorization and matrix capabilities in R to manually get the ANOVA table, perform the F tests, etc. The only thing you won't be able to get are residuals, so you'll be unable to check the assumptions of the model. The pieces are all there, but you'll likely have to do the calculations yourself. I don't believe there exists a function in base R to do that reconstruction for you.
I just saw your most recent response - that is not the 'data' to which David referred, it's a *summarization* of the data. It's possible to construct an ANOVA from the summary information *if* your summaries include the sufficient statistics of the ANOVA model you want to fit. If you don't know what 'sufficient statistics' means, then you probably need to consult a statistician in your neighborhood. For one-way ANOVA, the sample means, sample standard deviations and sample sizes per group should be enough to construct the ANOVA table and do the basic analysis. Many books that cover one-way ANOVA contain the formulas to do the necessary calculations. HTH, Dennis On Mon, Feb 7, 2011 at 5:15 PM, Rao, Niny <r...@philau.edu> wrote: > Hi! I need to perform ANOVA on a couple of data sets. The only information > I have are N, Mean and Standard deviation. I am very new to R, so can > someone point me to the right direction on where to go? Thank you very much. > > > Sincerely > Niny Rao, PhD > Philadelphia University > > ______________________________________________ > 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.
