[R] Nested ANOVA in R
Majid Iravani
majid.iravani at wsl.ch
Thu May 3 11:17:42 CEST 2007
Dear R users,
I installed an experiment as following setup:
- Four plant species
- Seed addition as main factor with two levels: control and seed addition.
- Four replicates (sites)
- 8 plots in each site arranged as two rows (each rows 4 plots) one meter
far from each other
- Four sub-plots in each plot (therefore 32 sub-plots in each site)
- In the four plots in each site (first row of plots) seeds of each of four
plant species were sowed onto one sub-plot by random (therefore 4 sub-plots
sown by a plant species in four different plots in each site).
In the other four plots (second row of plots) one sub-plot selected by
random as control for each of four plant species (therefore 4 sub-plots in
four different plots in each site as control for a plant species).
Now, my first question is about the name of this design. I thought this is
a 3-factor split-plot arrangement.
My second question is about data analysis for this experiment in R. I would
like to test the effect of seed addition and sites on the seedling
emergence of each plant species separately using a three- way ANOVA (??).
Because of the hierarchical experimental design, the experiment must be
analyzed by nested ANOVA but I do not know how I must arrange dataset and
then how to write ANOVA model in R.
I would greatly appreciate if somebody gives me some comments on these cases
Thank you very much in advance,
Majid
--------------------------------------------------------------------------------
Majid Iravani
PhD Student
Swiss Federal Research Institute WSL
Research Group of Vegetation Ecology
Zürcherstrasse 111 CH-8903 Birmensdorf Switzerland
Phone: +41-1-739-2693
Fax: +41-1-739-2215
Email: Majid.iravani at wsl.ch
http://www.wsl.ch/staff/majid.iravani/
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