Edit -- This question was originally titled << Long to wide data reshaping in R >>

I'm just learning R and trying to find ways to apply it to help out others in my life. As a test case, I'm working on reshaping some data, and I'm having trouble following the examples I've found online. What I'm starting with looks like this:

ID  Obs 1   Obs 2   Obs 3
1   43      48      37
1   27      29      22
1   36      32      40
2   33      38      36
2   29      32      27
2   32      31      35
2   25      28      24
3   45      47      42
3   38      40      36

And what I want to end up with will look like this:

ID  Obs 1 mean  Obs 1 std dev   Obs 2 mean  Obs 2 std dev
1   x           x               x           x
2   x           x               x           x
3   x           x               x           x

And so forth. What I'm unsure of is whether I need additional information in my long-form data, or what. I imagine that the math part (finding the mean and standard deviations) will be the easy part, but I haven't been able to find a way that seems to work to reshape the data correctly to start in on that process.

Thanks very much for any help.

r aggregate reshape reshape2
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