From: Ian Bentley <ian.bentley_at_gmail.com>

Date: Fri, 11 Jun 2010 14:32:05 -0400

...

Date: Fri, 11 Jun 2010 14:32:05 -0400

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 [[alternative HTML version deleted]] ______________________________________________ R-help_at_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.Received on Fri 11 Jun 2010 - 18:35:03 GMT

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