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.
That will generate only approximately the same
On Thu, 19 Feb 2004 08:45:01 -0500, Michael Friendly
[EMAIL PROTECTED] wrote :
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
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
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
