Both methods you listed do work, but type='l' is what I want, thank you for pointing that out to me. Incidentally, xyplot(type='l') printed much faster on the display than the panel.groups=() method. I was captivated by linejoin before I ever had a case to use xyplot(type='l'), which would explain why I tried to use it for this type of plot!
On Sep 23, 2005, at 1:01 PM, Deepayan Sarkar wrote: > On 9/23/05, Erin Berryman <[EMAIL PROTECTED]> wrote: >> Dear R community, >> >> I am still new to R, but I am attempting to use it for (hopefully) all >> my plotting needs. I have been using lattice and Hmisc for most plots >> so far successfully, but I need help creating a plot I desire for some >> new data I have. >> This data frame consists of the same type of measurement (Eh) for 27 >> different locations. I have 8000+ measurements for each location, and >> my datalogger organizes the output like this: >> >> Date A1L A2L >> A3L >> 2005-07-14 22:00 208.1 -178.5 196.8 >> 2005-07-14 22:10 207.9 -184.3 200.0 >> >> Now I'm having trouble plotting A1L, A2L, A3L on the same plot as a >> function of Date. I thought I would try panel.linejoin, like so: >> >> xyplot(data=redox2, A1L + A2L + A3L ~ Date, >> panel=function(x,y,...){panel.linejoin(x,y,horizontal=F,col=1,...)}, >> scales=list(x=list(tick.number=10))) >> >> But of course, what I get is the mean of the measurements from those >> three columns plotted as one line, when what I want is a separate line >> for each column of data. Do I need to define "groups" somehow to get >> separate lines? If so, how do I define groups based on membership in >> different columns? Or do I just need to reorganize my data to make it >> work, like this: >> >> Date Location Eh >> 2005-07-14 22:00 A1L 208.1 >> 2005-07-14 22:00 A2L -178.5 >> >> Then I can define groups=Location, and it would work. But it would be >> good to know if I can make the data work as is - because I have many >> many more datasets that are structured this way. > > Yes, simply supply 'panel.groups' instead of 'panel' > > panel.groups = function(x,y,...) { > panel.linejoin(x,y,horizontal=F,col=1,...) }, > > panel.linejoin doesn't know anything about groups, and has to be used > through panel.superpose (which does). However, the more obvious > approach seems to be > > xyplot(A1L + A2L + A3L ~ Date, data=redox2, > type = 'l', > scales=list(x=list(tick.number=10))) > > Does that not work? panel.linejoin is meant for cases where several > observations need to be summarized by a single number (mean, median, > etc). > > BTW, it's not a good idea to have anything other than the formula as > the first argument to xyplot etc. > > Deepayan > Erin M. Berryman Graduate Research Assistant Department of Soil, Water, and Climate University of Minnesota 612.625.9747 ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html