Hello fellow R users,
I am having a problem finding the estimates for some overall treatment
effects for my mixed models using 'lme' (package nlme). I hope someone
can help.
Firstly then, the model:
The data: Plant biomass (log transformed)
Fixed Factors: Treatment(x3 Dry, Wet, Control)
Ok...lets try again with some code...
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Hello fellow R users,
I am having a problem finding the estimates for some overall treatment
effects for my mixed models using 'lme' (package nlme). I hope someone
can help.
I have a problem related to measuring likelihood between
-an observed presence absence dataset (containing 0 or 1)
-a predicted simulation matrix of the same dimensions (containing values from 0
to 1)
This must be a common problem but I am struggling to find the answer in the
literature.
I am having a slight problem with probabilities.
To calculate the final probability of an event p(F), we can take the product of
the chance that each independent event that makes p(F) will NOT occur.
So...
p(F) = 1- ( (1-p(A)) * (1-p(B)) * (1-p(C))...(1-p(x)) )
If the chance of an event within
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