Geoff - I think this will get you closer to a solution:
newdf = reshape(df,varying=names(df)[-c(1,2)],direction='long', times=2000:2003,idvar=c('country','food'),v.names='X', timevar='year') xyplot(X~year|country*food,data=newdf) - Phil Spector Statistical Computing Facility Department of Statistics UC Berkeley spec...@stat.berkeley.edu On Fri, 18 Feb 2011, Geoff Russell wrote:
df=data.frame(country=c("A","A","A","B","B","B"), food=rep(c("Apples","Pears","Bananas"),2), X2000=c(4,5,6,7,6,8), X2001=c(4,5,6,7,6,8), X2002=c(4,5,6,7,6,8), X2003=c(4,5,6,7,6,8)); I have data in the above form trying to get a plot of each fruit over time year conditioned on country and food. I tried, xyplot(X2000+X2001+X2002+X2003~2000:2003|country*food,df) But think I need to transform the data, just not sure how. Any help gratefully received. Cheers, Geoff. [[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.
______________________________________________ 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.