Hi Stanley,
You need to convert your dataframe (it's'not a matrix obviously) to a "long
format". Each measurement will then be a single line within this "table".
Each column will then be viewed as a single statistical variable. Then you will
learn to apply relevant anovas on such data.
Essentially, you need to read an introduction to R.
Olivier.
--
Olivier Crouzet
LLING - Laboratoire de Linguistique de Nantes - EA3827
Université de Nantes
-----Original Message-----
From: Dragana Stanley <d.stan...@cqu.edu.au>
Sender: r-help-bounces@r-project.orgDate: Thu, 12 Jun 2014 14:21:53
To: r-help@r-project.org<r-help@r-project.org>
Subject: [R] multiple groups anova
Hi All
I have a matrix on which I want to do ANOVA between different Groups. My matrix
looks something like this
Sample Group Mes1 Mes2 Mes3
sample1 Group1 10 0 5
sample2 Group1 2 0 1
sample3 Group1 2 0 1
sample4 Group1 2 0 3
sample5 Group2 6 2 1
sample6 Group2 10 1 0
sample7 Group2 4 0 10
sample8 Group2 7 0 2
sample9 Group3 7 5 2
sample10 Group3 0 4 2
sample11 Group3 3 0 6
sample12 Group3 4 0 5
where Mes1-Mes100 columns are numerous measurements (like for example different
genes or sequence counts) taken on each sample
Is there simple way to do anova between different groups and effect size
measure (ie summary)
Thanks
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