I'm an R newbie, and I'm just trying to use some of it's graphing
capabilities, but I'm a bit stuck - basically in massaging the already
available data into a format R likes.
I have a simulation environment which produces logs, which represent a
number of different things. I then run a python script on this data, and
putting it in a nicer format. Essentially, the python script reduces the
number of files by two orders of magnitude.
What I'm left with, is a number of files, which each have two columns of
data in them.
The files look something like this:
--1000.log--
Sent Received
405.0 3832.0
176.0 1742.0
176.0 1766.0
176.0 1240.0
356.0 3396.0
...
This file - called 1000.log - represents a data point at 1000. What I'd like
to do is to use a loop, to read in 50 or so of these files, and then produce
a stacked barplot. Ideally, the stacked barplot would have 1 bar per file,
and two stacks per bar. The first stack would be the mean of the sent, and
the second would be the mean of the received.
I've used a loop to read files in R before, something like this ---
for (i in 1:50){
tmpFile <- paste(base, i*100, ".log", sep="")
tmp <- read.table(tmpFile)
}
--- But I really don't know how to handle massaging this data into the
matrix I need.
I hope this makes sense, I find it a little hard to describe.
Can anyone give me some help jumping into this one?
Thanks
--
Ian Bentley
M.Sc. Candidate
Queen's University
Kingston, Ontario
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