How to use R\'s ellipsis feature when writing your own function?

Answer

1. data.frame uses list(...) version. Fragment of the code:

   object <- as.list(substitute(list(...)))[-1L]
   mrn <- is.null(row.names)
   x <- list(...)

   object is used to do some magic with column names, but x is used to create final data.frame.
   For use of unevaluated ... argument look at write.csv code where match.call is used.

2. As you write in comment result in Dirk answer is not a list of lists. Is a list of length 4, which elements are language type. First object is a symbol - list, second is expression 1:10 and so on. That explain why [-1L] is needed: it removes expected symbol from provided arguments in ... (cause it is always a list).
   As Dirk states substitute returns "parse tree the unevaluated expression".
   When you call my_ellipsis_function(a=1:10,b=11:20,c=21:30) then ... "creates" a list of arguments: list(a=1:10,b=11:20,c=21:30) and substitute make it a list of four elements:

   List of 4$: symbol list
   $ a: language 1:10$ b: language 11:20$ c: language 21:30

   First element doesn't have a name and this is [[1]] in Dirk answer. I achieve this results using:

   my_ellipsis_function <-function(...){
     input_list <- as.list(substitute(list(...)))
     str(input_list)NULL}
   my_ellipsis_function(a=1:10,b=11:20,c=21:30)

3. As above we can use str to check what objects are in a function.

   my_ellipsis_function <-function(...){
       input_list <- list(...)
       output_list <- lapply(X=input_list,function(x){str(x);summary(x)})return(output_list)}
   my_ellipsis_function(a=1:10,b=11:20,c=21:30)
    int [1:10]12345678910
    int [1:10]11121314151617181920
    int [1:10]21222324252627282930$a
      Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
      1.003.255.505.507.7510.00$b
      Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
      11.013.215.515.517.820.0$c
      Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
      21.023.225.525.527.830.0

   It's ok. Lets see substitute version:

      my_ellipsis_function <-function(...){
          input_list <- as.list(substitute(list(...)))
          output_list <- lapply(X=input_list,function(x){str(x);summary(x)})return(output_list)}
      my_ellipsis_function(a=1:10,b=11:20,c=21:30)
       symbol list
       language 1:10
       language 11:20
       language 21:30[[1]]
      Length  Class   Mode 
           1   name   name 
      $a
      Length  Class   Mode 
           3   call   call 
      $b
      Length  Class   Mode 
           3   call   call 
      $c
      Length  Class   Mode 
           3   call   call 

   Isn't what we needed. You will need additional tricks to deal with these kind of objects (as in write.csv).

If you want use ... then you should use it as in Shane answer, by list(...).