Thank you for the help. It worked out fine. However trying to add additional aesthetics I came to another point, where I couldnt figure out a way to solve it. Perhaps you run into similar problems since your familiar with the ggplot package.
The code is the following: runmean_10yr_Nino_3_Index_17th_century <- SMA(SST_NINO3_detrended[0:100],n=10) runmean_10yr_Nino_3_Index_18th_century <- SMA(SST_NINO3_detrended[101:200],n=10) runmean_10yr_Nino_3_Index_19th_century <- SMA(SST_NINO3_detrended[201:300],n=10) runmean_10yr_Nino_3_Index_20th_century <- SMA(SST_NINO3_detrended[301:400],n=10) time_Nino3 <- c(1:100) runmean_yearly_decadal_Nino_Index <- data.frame(runmean_10yr_Nino_3_Index_17th_century,runmean_10yr_Nino_3_Index_18th_century,runmean_10yr_Nino_3_Index_19th_century,runmean_10yr_Nino_3_Index_20th_century,time_Nino3) melted3 <- melt(runmean_yearly_decadal_Nino_Index , id.vars="time_Nino3") ggplot(data=melted3, aes(x=time_Nino3,y=value,colour=variable))+ geom_line()+ ylab("SST Anomaly") + xlab("year") + ggtitle("Decadal El Nino Index ")+ facet_grid(variable ~ .) + geom_vline(aes(xintercept = xp),data=dat.vline) dat.vline <- data.frame( xp = c(15, 23)) As you may have noticed I created several plots below each other and now I would like to add vertical lines to this plots, therefore adding "geom_vline(aes(xintercept = xp),data=dat.vline). This worked so far, however I would like to add vertical lines for these four different plots at different places. Do you know how I could do this? I added the plot I created at this e-mail. You can see two lines on every of those 4 plots (at the same place). What I want is the same thing but the lines at different places for every of those 4 plots (independently). Thank you for the help!! If you need to create the plots you can simply change the "runmean_10yr_Nino_3_Index_17th_century" to any other vector. Best Matthias ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.