Dear R wizards,
Though I hate to do it after weeks of my code not working I need some help
since I cant find an example which seems to work.
I am trying to create a graph which show the probability of predation of a
nest on one side (either 1 to 0) or (0% to 100%) on one side
and grass height at the bottom. I want to then add my predicted lines from
my glmr onto the graph for three habitat types.
I would like to repeat this procedure 3 times for three different grass
heights 25- 50- 100 to see the effect size.
My data:
landusenumb landuse sitename rat ground.cover_lo 1 plantation
far.leftroad_LHS 0 60 1 plantation far.leftroad_LHS 1 70 1 plantation
far.leftroad_LHS 1 10 1 plantation far.leftroad_LHS 1 30 1 plantation
far.leftroad_LHS 1 50 1 plantation far.leftroad_LHS 0 20 1 plantation
far.leftroad_LHS 0 70 1 plantation far.leftroad_LHS 0 100 1 plantation
far.leftroad_LHS 0 90
#Graph
#Fit model
mod1 <- glmer(frat ~ flandusenumb + ground.cover_lo + (1|fsite) ,family =
binomial, data= mao1)
#Calculate predicted values
newdata1 <- data.frame(ground.cover_lo = seq(0,10,length=100), flandusenumb
= rep(1,2,3))
pred34 <- predict(mod1,newdata=newdata1,type="response")
#Plot model predicted curves
plot(c(0,100),c(0,1),type="n",xlab="grasscover",ylab="Probability of
predation")
lines(newdata1$frat,pred34,lwd=3,col="blue")
--
www.samoanbirds.com
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