(This article was first published on

**Timothée Poisot » R**, and kindly contributed to R-bloggers)I’m starting to get familiar with ggplot2, and I really like it. I just found a very quick way to use several dataframes within the same plot, provided that the dataframes share columns names.

One obvious application is the production of graphs with the mean (obtained by `aggregate`

) superposed to the original raw data.

You can do this in ggplot2 simply with something along the lines of

dat <- read.table(‘sampling.txt’)

dat.me <- aggregate(dat,list(NEST=dat$NEST,NRR=dat$NRR,MES=dat$MES),mean)

base <- ggplot(dat,aes(x=NRR,y=PROP,colour=MES))

base+geom_point() + geom_line(data=dat.me)

dat.me <- aggregate(dat,list(NEST=dat$NEST,NRR=dat$NRR,MES=dat$MES),mean)

base <- ggplot(dat,aes(x=NRR,y=PROP,colour=MES))

base+geom_point() + geom_line(data=dat.me)

By changing the `data`

argument, you will recycle the `aes`

settings. This is really handy.

The result is

Now, of course, is someone knows a simpler way to do it, I’d like to know!

To

**leave a comment**for the author, please follow the link and comment on their blog:**Timothée Poisot » R**.R-bloggers.com offers

**daily e-mail updates**about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...