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 <[EMAIL PROTECTED]> 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 > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
