[R] How would I analyse data like this?
laurent.duperval at microcell.ca
Wed Mar 19 17:45:01 CET 2003
I'm a new R user and I'm having a little trouble getting started. I'm hoping
someone can help me out.
I have data that looks like this:
Which I've read using scan().
data <- scan(file = "data.dat", what = list("",0,0,0,0,"","",""), sep = "|", skip = 1)
Now, I want to do things like this:
- A histogram for the 5th column for every 50 units. I can generate the
histogram but most of my values are between 0-500. A few are above that.
I'd like to bundle them all in a generic 500+ category. I can't figure out
how. This is what I'm doing
Error in hist.default(data[], br = c(0, 50, 100, 150, 200, 250, 300, :
some `x' not counted; maybe `breaks' do not span range of `x'
- How do I count the number of times channel "IN" occurs with code = 983? How about if
I want to combine IN and code=983 or 982 or 981?
- Finally (for today at least) how do I count the number of times code=983 and
date=2003-03-16 (without the time) occur. I'm hoping this will also help
me build histograms for days of the week and for hours of the day.
Laurent Duperval <laurent.duperval at microcell.ca>
ZYMURGY'S FIRST LAW OF EVOLVING SYSTEM DYNAMICS
Once you open a can of worms, the only way to recan them is to use
a larger can.
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