[R-lang] Re: % of total variance accounted for by each predictor?

[Alex Fine]

Hey Xiao,

Basically, yes, I think that's what the function requires.  There could 
be something non-obvious about how the formula has to be specified.   
That's all I can think of....Probably the best thing to do would be to 
post a reply on the blog, let dear florian answer it when he gets a 
chance, and then future users who run into similar problems will see the 
answer there.  You could probably just post your last message, verbatim.

alex

Xiao He wrote:
> Hi Alex
>
> Sorry that I didn't include any information about my data or code that 
> I used :)
>
> I did look at the codes on the page, but they are bit opaque to me. 
> Mainly, I don't understand the syntax of the codes. For example, what 
> exactly should the "f" look like? For example, I have a data sheet 
> where the column "correct" corresponds to the binary responses 
> obtained from participants, and "iv1", "iv2, "iv3", and "iv4" are four 
> columns corresponding to the 4 predictors that I want to evaluate, and 
> "subject" and "item" are the two columns for the random effects. The 
> name of the data sheet is "data".
>
> Do I need to do the following? =>  my.lmer.nagelkerke 
> (correct~iv1+iv2+iv3+iv4 + (1|subject) + (1|item), data)
>
> This is what I did, but it is wrong. I hope you can help me with this. 
> Thank you :)
>
>
> Best,
> Xiao