Please take this thread elsewhere(e.g. Stats.stackexchange.com) as it is
largely about statistics and is therefore offtopic here (this list is about
R programming).
Cheers,
Bert
On May 12, 2017 1:21 AM, "Margot Neyret" wrote:
Hi Jim,
Sorry if my question was not clear. I will try to explain a
Hi Margot,
Very messy, like nature. One way is to do tests with dummy variables
that compare:
beans+anything vs anything without beans
maize+anything vs anything without maize
pumpkin+anything vs anything without pumpkin
Then if you find that the "beans" comparison has the strongest effect,
perha
Hi Jim,
Sorry if my question was not clear. I will try to explain again…
I have one response variable Y, let’s say vegetation cover. Then I have my
explanatory variable, let’s call it Crop. In my field I can have either Maize
(m), Bean (b), Pumpkin (p) or mixtures : m+b, m+p, b+p, m+b+p. I also
Hi Margot,
I'm not sure I understand your model, but if I make up some data in
which the response variable is vegetation cover and the three species
are:
A - eats one type of plant
B - eats another type of plant
C - preys on herbivorous insects
df<-read.table(text="field,propveg,A,B,C
1,1,0,0,1
Hello,
I have fields with species mixtures (for instance, species a, b, c, a+b, a+c,
b+c), and I look at the effect of each species on a response Y. More
specifically, I would like to compare the effect of individual species, either
alone or in mixture.
>Y = rnorm(18,0,1)
>mixture= rep(c('a','
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