Hi Sibylle, I might have the wrong idea, but does this: hecke<-matrix(sample(1:40,104,TRUE),nrow=2) library(plotrix) barp(hecke,col=c("lightblue","pink")) legend(43,40,c("M","F"),fill=c("lightblue","pink"))
do what you want? It is also possible to display this as a nested bar plot showing males and females within total catch. Jim On Tue, Jan 9, 2018 at 7:19 PM, Sibylle Stöckli <sibylle.stoec...@gmx.ch> wrote: > Dear R users > > aim > Barplot of insect trap catches (y variable trapcatch) at one specific station > (variable FiBL_Hecke) from week 1-52 ( x variable week). > It works well using the function tapply (sum trapcatch per week, males and > females not separated), however, I intend to separate the y variable > trapcatch in males and females (variable m_w: m and w) > > problem > I used the function "add" to merge two bar plots (males and females). > Unfortunately the second barplot masks the first barplot. > > question > Is there a function to "mathematically" add the values from both barplots > with the aim the barplot presenting the total trap (males and females) > catches per week? > > > > Hecke<-trap[trap$station=="FiBL_Hecke",] # station = Hecke > m<-Hecke[Hecke$m_w=="m",] # male trap catches > w<-Hecke[Hecke$m_w=="w",] # female trap catches > > barplot(m$trapcatch, ylab="Y", space=0.5, col=c("grey0"), ylim=c(0,450), > las=2, cex.lab=0.9, cex.axis=0.9, cex.names=0.9) > barplot(w$trapcatch,space=0.5, add=TRUE, beside=FALSE, col=c("grey50"), > xaxt="n", yaxt="n") > > Thanks a lot > Sibylle > [[alternative HTML version deleted]] > > ______________________________________________ > 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. ______________________________________________ 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.