search for: lengthfeeding_log

...time. glm(count ~ predictors + offset(log(observation_time)), family=poisson) If you want to compare durations, look at library(survival), ?coxph If tnoise_sqrt is the square root of tourist noise, your example seems incorrect, because it is a predictor, not the dependent variable tnoise_sqrt ~ lengthfeeding_log Best wishes, Matthias Am 30.12.2011 16:29, schrieb Lucy Dablin: > Great lists, I always find them useful, thank you to > everyone who contributes to them. > > > My question is regarding non-integer values from some data I > collected on parrots when using the poisson GLM. I ob...

...ared with predictors: total number of birds (count data, square root), average time devoted to foraging at site (log), species richness (sqrt), and the number of flushes per day. Apart from the last one they are all non-integer values. When I run a glm for example: parrots <- glm(tnoise_sqrt ~ lengthfeeding_log, family = poisson) summary(parrots) There are warnings which are “27: In dpois(y, mu, log = TRUE) : non-integer x = 1.889822” I was advised to use the offset() function however this does not seem to correct the problem and I find the code confusing. What GLM approach should I be using for mul...