Ouch! Lousy plot. Instead, plot the 50 (mean sent, mean received)pairs as a y vs x scatterplot to see the relationship.
Bert Gunter Genentech Nonclinical Biostatistics -----Original Message----- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Hadley Wickham Sent: Friday, June 11, 2010 11:53 AM To: Ian Bentley Cc: r-help@r-project.org Subject: Re: [R] Transforming simulation data which is spread across manyfiles into a barplot On Fri, Jun 11, 2010 at 1:32 PM, Ian Bentley <ian.bent...@gmail.com> wrote: > 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) > } > # Load data library(plyr) paths <- dir(base, pattern = "\\.log", full = TRUE) names(paths) <- basename(paths) df <- ddply(paths, read.table) # Compute averages: avg <- ddply(df, ".id", summarise, sent = mean(sent), received = mean(received) You can read more about plyr at http://had.co.nz/plyr. Hadley -- Assistant Professor / Dobelman Family Junior Chair Department of Statistics / Rice University http://had.co.nz/ ______________________________________________ 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. ______________________________________________ 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.
