Try this script. I converted test_date to numeric decimal year link <- "C:\\R_Home\\Charts & Graphs Blog\\R_Chart_Doc\\text_data.csv" testdata<- read.table(link, head = T, sep = ",",na.strings = "na") test_date = as.Date(testdata$Date,"%d-%m-%y")
# Convert dates to decimal year my_yr <- as.numeric(format(test_date,format="%Y")) my_mo <- as.numeric(format(test_date, format="%m")) dec_yr <- my_yr + (my_mo+0.5)/12 plot(dec_yr, testdata$Model, type="l", log="y", xaxs="i", yaxs="i", axes=T, xlim = c(2003, 2008)) points(dec_yr, testdata$BaseDataA, type = "l", col = "red") points(dec_yr, testdata$BaseDataB, type = "l", col = "blue") grid( col="grey",lty=1) box() Kelly http://chartsgraphs.wordpress.com http://chartsgraphs.wordpress.com gug wrote: > > Thanks - that works great. > > Do you have any suggestions about the grid() problem - i.e. that the > vertical gridlines do not line up with the x-axis tickmarks (which are > years)? > > I can't see on what basis the vertical gridlines are being positioned, but > it doesn't look good that they are not lined up with anything. > > Thanks, > > Guy > > > DKOD wrote: >> >> This script worked for me. Be sure to put in your correct link. >> >> link <- "C:\\R_Home\\Charts & Graphs Blog\\R_Chart_Doc\\text_data.csv" >> testdata<- read.table(link, head = T, sep = ",",na.strings = "na") >> test_date = as.Date(testdata$Date,"%d-%m-%y") >> >> plot(test_date, testdata$Model, type="l", log="y") >> points(test_date, testdata$BaseDataA, type = "l", col = "red") >> points(test_date, testdata$BaseDataB, type = "l", col = "blue") >> >> You add 2nd and 3rd series with points command >> >> Hope this helps. >> >> Kelly >> >> http://chartsgraphs.wordpress.com http://chartsgraphs.wordpress.com >> >> > > -- View this message in context: http://www.nabble.com/Simple-time-series-questions-tp25398419p25400652.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.