Hello fellow R users :wave:
I hope someone can help me solve this problem. I've been looking for a solution all day.
I have a proportional response (% cover) variable.
I have 2 explanatory factors, both with 3 or more levels: quadrats (of which there are many) and year (of which there are 3).
Having eventually ruled out a Friedmans and Skillings-Mack tests I came back to GLMs.
I was trying
model<-glm(cover~quadrat*year, family=binomial)
However R keeps returning warnings. I tried to balance my data by adding many "NA"s where data wasn't collected but one error is still coming up:
Warning message:
In eval(expr, envir, enclos) : non-integer #successes in a binomial glm!
If anyone can shine some light on where I am going wrong that would be greatly appreciated!
Many Thanks in advance
-Sian
I hope someone can help me solve this problem. I've been looking for a solution all day.
I have a proportional response (% cover) variable.
I have 2 explanatory factors, both with 3 or more levels: quadrats (of which there are many) and year (of which there are 3).
Having eventually ruled out a Friedmans and Skillings-Mack tests I came back to GLMs.
I was trying
model<-glm(cover~quadrat*year, family=binomial)
However R keeps returning warnings. I tried to balance my data by adding many "NA"s where data wasn't collected but one error is still coming up:
Warning message:
In eval(expr, envir, enclos) : non-integer #successes in a binomial glm!
If anyone can shine some light on where I am going wrong that would be greatly appreciated!
Many Thanks in advance
-Sian