Program advice
John Logsdon <j.logsdon at lancaster.ac.uk> writes:
Example data: Item Size Year 1 0 1980 1 10 1981 1 14 1982 1 20 1983 1 25 1984 1 30 1985 2 0 1980 2 5 1981 2 6 1982 2 8 1984 3 0 1984 3 2 1985 4 0 1980 4 20 1981 4 30 1982 4 30 1984 4 35 1985 This should produce 4 jagged lines on a plot, some shorter than others. So far, I can see no simple equivalent of the $GRA instruction with the factors but presumably the trick is to fill up a matrix with the data in a rather ugly loop storing the row number and incrementing on a change in Item. Ensure that the matrix is NA-filled first and then use matplot to do the graph.
Hmm... Best I could think of till now was:
dfr<-read.table("/tmp/data",header=T)
evalq(plot(Year,Size,type='n'),dfr)
invisible(lapply(split(dfr,dfr$Item),
function(d)evalq(lines(Year,Size,lty=Item),d)))
O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._