[R] Transforming simulation data which is spread across many files into a barplot

From: Ian Bentley <ian.bentley_at_gmail.com>
Date: Fri, 11 Jun 2010 14:32:05 -0400


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)
}

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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Received on Fri 11 Jun 2010 - 18:35:03 GMT

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