You can apply the trick that Prof. Dalgaard recently posted in response to a similar question (for one-way ANOVA). For each cell, generate data as:
y <- cell.mean + cell.sd * scale(rnorm(cell.count)) Then generate the data frame to feed to aov. HTH, Andy > From: Yun-Fang Juan > > Hi, > I have a two-way anova with unequal cell numbers that I want > to analyze. > The problem is I don't have individual observations of the data. > I only have the sufficient statistics (mean, variance, # of > observations) for each cell. > Is there any existing function in S-plus that would allow me > to do aov() with the sufficient statistics? > > The table is like > > G1 G2 G3 G5 G6 > T1 > T2 > T3 > > > For cell (Ti, Gj) i have mean, variance and # observations > and the factors are unordered. > > Thanks a lot for helping me on this in advance. > > > Yun-Fang > [[alternative HTML version deleted]] > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > > ------------------------------------------------------------------------------ Notice: This e-mail message, together with any attachments,...{{dropped}} ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
