On Tue, Feb 01, 2011 at 10:51:12PM +1300, Surrey Jackson wrote: > Hello, > > I have some data where a number of events (the total amount varies) > occur at cumulating times, I would like to create a scatterplot > (easily achieved using plot etc) of these events (the events can > either be times using poxist or I can convert them into just seconds > which is probably easier to work with), however I would like the > events/times to re-begin plotting every 10th occurrence and start > being plotted again from 0 on the Y axis. The result would be a > scatte rplot that looks like it has lots of ups and downs in it, as > opposed to one that just keeps on going on up and up and up. This > would allow me to compare the time of the events across multiple > sessions of data. > > Now I can create a scatterplot of the first 10 occurrences and then > minus the 10th time from the next 10 occurrences so the times will be > plotted correctly on the Y axis. However I can't make them plot in > the 11:20 slot. > > I have read all the help files for plot, dotchart etc and can't figure it out. > > I am after an elegant solution as I have many hundreds of data files > that I will need to do this for and I have been creating all my other > graphs and doing other anaylsis using a loop and all the files have > varying numbers of events to be plotted.
Hello. I think that a transformation of the data before the plot can be used. Below, i suggest a solution, where the y-values at indices 1, 10, 20, ... are subtracted. So, also the first interval is plotted relatively to its starting value. I am not sure, whether this is suitable for your application. # create an irregularly increasing sequence n <- 33 y <- cumsum(runif(n)) plot(y) # restarting indices ind <- 1:n - (1:n) %% 10 ind[ind == 0] <- 1 plot(y - y[ind]) Is this close to what you want? If not, then i suggest to send the loop solution as a part of the description. Petr Savicky. ______________________________________________ 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.
