[R] sep. dataset

[Sherri Heck]

Hi everyone-

I have a dataset that I created using the aggregate command:

    Hour   Level            C2
1         1       1 -3.517117e+00
2         2       1 -2.536083e+00
3         3       1 -1.429000e+00
4         4       1 -1.148667e-01
5         5       1  1.345333e+00
6         6       1  3.108117e+00
7         7       1  4.763733e+00
8         8       1  6.161867e+00
9         9       1  7.374667e+00
10       10       1  8.470500e+00
11       11       1  8.585400e+00
12       12       1  7.919983e+00
13       13       1  6.047667e+00
14       14       1  2.248483e+00
15       15       1 -1.791750e+00
16       16       1 -4.711133e+00
17       17       1 -5.428500e+00
18       18       1 -5.165783e+00
19       19       1 -5.314700e+00
20       20       1 -5.579200e+00
21       21       1 -5.579433e+00
22       22       1 -5.384683e+00
23       23       1 -5.003400e+00
24       24       1 -4.470133e+00
25        1       2 -1.888567e+00
26        2       2 -1.394150e+00
27        3       2 -8.934167e-01
28        4       2 -3.589167e-01
29        5       2  2.093667e-01
30        6       2  8.582667e-01
31        7       2  1.544633e+00
32        8       2  2.203933e+00
33        9       2  2.819583e+00
34       10       2  3.388400e+00
35       11       2  3.776533e+00
36       12       2  3.951400e+00
37       13       2  3.753883e+00
38       14       2  2.852067e+00
39       15       2  1.418200e+00
40       16       2 -2.007833e-01
41       17       2 -1.471800e+00
42       18       2 -2.351217e+00
43       19       2 -3.034233e+00
44       20       2 -3.313900e+00
45       21       2 -3.331433e+00
46       22       2 -3.172550e+00
47       23       2 -2.881167e+00
48       24       2 -2.484167e+00


and I would like to separate the dataset further so that I can plot Hour 
vs. C2 for Level = 1 and also Hour vs. C2  for Level = 1 on the same 
plot.  I've been trying to use the "aggregate" command, but not sure 
what function I should use.  I'm not even sure if this is the best 
method.  Any suggestions/pointers will be most appreciated-

thanks-

s.heck