[R] Help required graphing factors with predicted model settings
Jim Lemon
jim at bitwrit.com.au
Thu Oct 10 06:33:56 CEST 2013
On 10/10/2013 08:35 AM, Rebecca Stirnemann wrote:
> 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")
>
>
Hi Rebecca,
First, your sample data are a bit mangled, and should look like this:
mao1
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
If you want the predicted values with ground cover as above, then:
ground.cover_lo = c(25,50,100)
The variable names in the first model don't match those in the data
frame, but I assume these were typos. What does "pred34" look like? This
will tell you what function you should be using to plot it.
Jim
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