Try recording the data as a rectangle with 3 entries in each row timestamp, sensor_id, sensor_reading You can read this into an R data.frame, sensorData, with a call to read.csv then use z <- split(sensorData, sensorData$sensor_id) to make a list of data.frames, one for each sensor, that you can plot from with something like lapply(z, function(zi)plot(zi$timestamp, zi$sensor_reading))
Bill Dunlap Spotfire, TIBCO Software wdunlap tibco.com > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On > Behalf > Of phibo > Sent: Wednesday, April 18, 2012 6:26 AM > To: r-help@r-project.org > Subject: Re: [R] simple time series plot > > Thanks for your reply! > > As I write the script to export the data from the database myself, I'm free > to sort the data (almost) at will. > > I can either export to CSV in the form of > > sensor1 > timestamp1, reading1, timestamp2, reading2, timestamp2, reading2... > sensor2 > timestamp1, reading1, timestamp2, reading2, timestamp2, reading2... > > OR > > sensor1 > timestamp1, timestamp2, timestamp3, ... > reading1, reading2, reading3, ... > sensor2 > timestamp1, timestamp2, timestamp3, ... > reading1, reading2, reading3, ... > > What is easier to read into a matrix? Sorry for asking such a stupid > question. But I just couldn't figure out how to read in the CSV into a data > structure that I could plot afterwards. > > THANKS for your help! > > -- > View this message in context: > http://r.789695.n4.nabble.com/simple-time-series-plot- > tp4565579p4567706.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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.
