Thanks Deepayan. That did the trick.
xyplot(cpu~dt|zone,data=filt_zone_df,ylim=c(0,100),groups=pool, auto.key=list(columns=min(4,length(unique(filt_zone_df$pool))),lines=T,points=F), type="l", main="Test Chart", ylab="% Utilization", panel=function(x,y,groups,subscripts,...){ panel.xyplot(x,y,groups=groups,subscripts=subscripts,...) panel.lines(filt_zone_df$dt[subscripts],filt_zone_df$mem[subscripts],col="red") }, as.Table=T, subscripts=T) Regards, -mike On Mon, Jan 9, 2012 at 5:06 AM, Deepayan Sarkar <deepayan.sar...@gmail.com>wrote: > On Sun, Jan 8, 2012 at 9:45 AM, Mike Dahman <mike.dah...@gmail.com> wrote: > > I'm hoping the community knowledge can help me out here. I have found > great > > value in R, especially using it to generate charts, but I am still > scaling > > the learning curve in a number of ways. > > > > I am looking plot one grouped line and one ungrouped line in a lattice > plot. > > > > I can plot one grouped line like this (the line's color in each panel > > becomes dependent on the newpool value): > > > > > > > > > xyp<-xyplot(cpucap~date|zone,data=df,type="l",groups=newpool,auto.key=list(points=F,lines=T), > > main=paste(df$server[1]," CPU Caps\n",df$date[1]," to > > ",df$date[nrow(df)],sep="") > > ) > > print(xyp) > > > > > > and I can plot two ungrouped lines using a panel=function with subscripts > > like this (maybe not the best way, but I found an example doing it this > > way): > > > > xyplot(cpu~dt|zone,data=filt_zone_df,ylim=c(0,100), > > main=paste(server," - Zone CPU (Blue) & Memory (Red) > > > Util\n",filt_zone_df$ts[1],"-",filt_zone_df$ts[nrow(filt_zone_df)],sep=""), > > panel=function(x,y,subscripts){ > > panel.lines(x,y) > > > panel.lines(filt_zone_df$dt[subscripts],filt_zone_df$mem[subscripts],col="red") > > }, as.Table=T, subscripts=T) > > > > > > but I'm struggling with plotting one line that is grouped and one that > > isn't. When I try to pass group to the first panel.xyplot() function in > the > > panel=function it either does nothing or bombs out. > > > > > xyplot(cpu~dt|zone,data=servdf,ylim=c(0,100),groups=pool,auto.key=list(points=F,lines=T),type="l", > > main="test", > > panel=function(x,y,groups,subscripts,...){ > > panel.xyplot(x,y,groups,...) # would > > like this to be colored based on the groups=pool > > Try > > panel.xyplot(x, y, groups = groups, subscripts = subscripts, > ...) > > -Deepayan > > > > > panel.lines(servdf$dt[subscripts],servdf$mem[subscripts],col="red") > > }, as.Table=T, subscripts=T) > > > > > > A little nudge in the right direction is appreciated. I'm getting tripped > > up on how to get the groups definition into the panel function and also > > into the panel.xyplot function within it. I've tried using a number of > > variations in the arguments with the panel=function definition and the > call > > to panel.xyplot() within it, but no success. My assumption was that the > use > > of '...' would pass it on down, but that doesn't seem to be the > > case, especially since most of the examples I can find from googling show > > folks listing group as an argument, and sometimes have something like > > groups=groups. I've tried a number of things and thought it is time to > ask > > for help. > > > > Regards, > > > > -mike > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > 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. > [[alternative HTML version deleted]] ______________________________________________ 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.