[R-lang] Re: Help with screening data before glmer

[Levy, Roger]

Hi Francesco,

I don’t quite understand what you’re looking for, but perhaps you might want to take a look at ggpairs() in the GGally package?

Best

Roger

On Nov 10, 2013, at 11:47 PM, Francesco <fbromano@sabanciuniv.edu> wrote:

> I'm trying to find a suitable way of plotting the relationship
> between 2 fixed effect categorical IVs (Syntax and Semantics),
> 2 random effect factors (ID and item) and a
> categorical DV (Correct). Syntax and Semantics have two levels
> each.
> 
> The point is I would like to look
> at the distribution of the response (log-odds in this case),
> considering one fixed effect at a time, plotted for each participant
> or each item (in xyplot-type style). For example, I could look
> at the log-odds of correct responses by syntax for each participant
> or for each item, reason being I would like to look at potential
> skewness of data, outliers, awkward responses and not
> look at model fit (i.e. residuals).
> 
> There seems to be quite a bit available if you have a continuous
> predictor http://www.ats.ucla.edu/stat/r/dae/melogit.htm
> but nothing for discrete ones.
> 
> When plots based on frequency tables are brought in, they do not
> allow grouping variables (random factors) like ID and item.
> 
> Any help is much appreciated.
> 
> -- 
> Frank Romano
> 
> Sabanci University
> website: http://sabanciuniv.academia.edu/FrancescoRomano
>