Splitting a data list into smaller data lists

Hi, I am new at R and have been looking for a guide on how to do  
this with no
avail. I have a data set similar to this:

X   Y
1   2
3   3
4   9
2   4
6   3
9   1
1   7
0   2
5   6
3   8

If by dataset you mean a daaframe named (for discussion purposes)  
"dfrm",  then this will give you the first five row

dfrm[1;5, ]

And this will give you the rest:

dfrm[ -(1:5), ]

and I need it to be split into something like this:

X   Y
1   2
3   3
4   9
2   4
6   3

X  Y
9   1
1   7
0   2
5   6
3   8

I am thinking I need to write a loop because my data set is much  
larger than
this (1000) and I need it all organized into smaller data sets of  
5's. Can
someone point me in the write direction?

Oh .... So you want to split into packets of 5 rows each?

try:

split( dfrm, 1:NROW(dfrm) %/% 5 )

David Winsemius, MD
West Hartford, CT

Comments below.

Hi, I am new at R and have been looking for a guide on how to do this with no
avail. I have a data set similar to this:

X   Y
1   2
3   3
4   9
2   4
6   3
9   1
1   7
0   2
5   6
3   8

and I need it to be split into something like this:

X   Y
1   2
3   3
4   9
2   4
6   3

X  Y
9   1
1   7
0   2
5   6
3   8

I am thinking I need to write a loop because my data set is much larger than
this (1000) and I need it all organized into smaller data sets of 5's. Can
someone point me in the write direction?

"Right" direction?

Type
   ?split
and
   ?":"
and
   ?"%/%"
and
   ?nrow
at the R command line

Read the "Introduction to R" (I2R) focusing on vector indexing.  Whenever 
possible you should prefer to use vector indexing instead of a for loop 
(there are certainly reasons to use for loops, but in most cases where 
they might be appropriate there are iterator functions like lapply that 
lead to more succinct and possibly faster code).

To use the resulting list, you will probably want to read
   ?lapply
and/or
   ?"[["

although the discussion of lists in I2R may be more digestible.

Depending on how you want to process data in the bigger picture, you may 
find the plyr package helpful.

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