Hello,
I am struggling to figure out how to analyse a dataset I have inherited
(please note this was conducted some time ago, so the data is as it is,
and I know it isn't perfect!).
 
A brief description of the experiment follows:
Pots of grass were grown in 1l pots of standad potting medium for 1
month with a regular light and watering regime. At this point they were
randomly given 1l of one of 4 different pesticides at one of 4 different
concentrations (100%, 75%, 50% or 25% in water). There were 20 pots of
grass for each pesticide/concentration giving 320 pots. There were no
control (untreated) pots. The response was measured after 1 week and
recorded as either:
B1 - grass dead
B2 - grass affected but not dead
B3 - no visible effect
 
I could analyse this as lethal effect vs non-lethal effect (B1 vs B2+B3)
or some effect vs no effect (B1+B2 vs B3) binomial model, but I can't
see how to do it with three levels.
 
Any pointing in the right direction greatly appreciated!
Thanks
Matt

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