Dear Sherri,
If your data set is called "mydata", you can separate it by "Levels" with
something like

# Separating the data by Level -- new.data is a list
new.data=split(mydata,mydata[,2])
new.data

# or

level1 = mydata[mydata$Level==1,]
level2 = mydata[mydata$Level==2,]


Now, if you want to plot the data, you can try this:

# (1) No previous separation
plot(mydata$Hour,mydata$C2,col=mydata$Level,type='l')

# (2) Using the separation
plot(level1$Hour, level1$C2,ylim=range(mydata$C2),col=1)
points(level2$Hour, level2$C2,ylim=range(mydata$C2),col=2)

With either (1) or (2) the graphic result is the same.

HTH,

Jorge


On Sun, Oct 12, 2008 at 11:44 PM, Sherri Heck <sheck@ucar.edu> wrote:

> 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
>
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