[R-sig-ME] ggplot of Hurdle model

[andreu blanco]

Thank you Mollie, I understand what you mean but this is the reference I
have and that's why I am referring to it. Of course I understand every data
will need its own graph and that why I am asking for help. I will check the
info you sent and try to figure out if it is useful for my data.

Yes, I am trying to fil the model predictions, I used a glmer for the
Hurdle model and it perform smoothly. However I want to understand how to
graph the predicted values of the model to get a fancy figure for my paper.
Unfortunately I am quite new to R and doing betiful graphs I think is quite
difficult, at least as far as I tried. I hope to get some help on how to do
a good graph for my predicted values.

On 2 November 2017 at 15:11, Mollie Brooks <mollieebrooks en gmail.com> wrote:

> Hi Andreu,
>
> We don’t really have enough information to answer your question. I don’t
> have access to that book and I imagine many people on this list don't
> either.
>
> If you are using glmmTMB and trying to plot predictions, there is an
> example on pages 8-9 of this appendix
> https://www.biorxiv.org/content/biorxiv/suppl/2017/05/
> 01/132753.DC1/132753-2.pdf
>
> cheers,
> Mollie
>
> On 2Nov 2017, at 14:52, andreu blanco <andreu.blanco en gmail.com> wrote:
>
> According to the information in the Zuur's book "Begginers guide to
> Zero-inflated models with R", I see they suggest a graph to add to the
> research paper. However I don't know how to sketch the model fit to my
> results.
>
> My data structure is:
>
> str(Aarmata)
>
> 'data.frame': 80 obs. of  6 variables:
> $ Location  : Factor w/ 8 levels "C1","C2","O",..: 1 1 1 1 1 5 5 5 5 5 ...
> $ Protection: Factor w/ 2 levels "C","P": 1 1 1 1 1 2 2 2 2 2 ...
> $ Exposure  : Factor w/ 2 levels "E","S": 1 1 1 1 1 1 1 1 1 1 ...
> $ replicates: int  1 2 3 4 5 1 2 3 4 5 ...
> $ Biomass   : num  124.8 104.8 139.2 102.6 62.9 ...
>
> Any suggestion would be highly appreciated.
>
> Andreu
> --
> Andreu Blanco Cartagena
>
>
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-- 
Andreu Blanco Cartagena



Si no és imprescindible, no imprimeixis aquest e-mail. Estalviar paper
ajuda a protegir el medi ambient.

Si no es imprescindible, no imprimas este e-mail. Ahorrar papel ayuda a
proteger el medio ambiente.

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