[R] ddply (or other suitable solution) question

[Jeff Newmiller]

The input example seems explicit enough, but I get confused understanding your desired output. Can you create an example data structure in your global environment "by hand" and use dput to give it to us?

On September 13, 2018 12:11:21 PM PDT, Andras Farkas via R-help <r-help using r-project.org> wrote:
>Dear All,
>
>I have data frame:
>set.seed(123.456)
>df <-data.frame(ID=c(1,1,2,2,2,3,3,3,3,4,4,5,5),
>                read=c(1,1,0,1,1,1,0,0,0,1,0,0,0),
>                int=c(1,1,0,0,0,1,1,0,0,1,1,1,1),
>                z=rnorm(13,1,5),
>                y=rnorm(13,1,5))
>
>what I would like to achieve (as best as I see it now) is to create
>multiple lists (and lists within lists using the data in df) that would
>be based on the groups in the ID column ("top level of list") and "join
>together" each line item within the group followed by the next line
>item ("bottom level list"), so would look like this for 
>
>[[ID=1]]
>[[1]][[1]]
>  ID read int        z        y
>  1    1   1 5.188935 5.107905
>  1    1   1 1.766866 4.443201
>[[ID=2]]
>[[2]][[1]]  ID read int         z         y
>  2    0   0 -4.690685 3.7695883
>  2    1   0  7.269075 0.6904414[[ID=2]]
>[[2]][[2]]  ID read int        z          y
>  2    1   0 7.269075  0.6904414
>  2    1   0 3.132321 -0.5298133[[ID=3]]
>[[3]][[1]]  ID read int          z         y
>  3    1   1 -0.4753574 -0.902355
>  3    0   1  5.4756283 -2.473535
>[[ID=3]]
>[[3]][[2]]
>  3    0   1 5.475628 -2.47353489
>  3    0   0 5.390667 -0.03958639
>
>
>hoping example clear enough... all our help is appreciated,
>
>thanks,
>
>
>
>Andras 
>
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-- 
Sent from my phone. Please excuse my brevity.