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]]
______________________________________________ R-help at stat.math.ethz.ch 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}}