Hi You should use position dodge.
p <- ggplot(iris, aes(x=Sepal.Length, colour=Species)) p+geom_density() p <- ggplot(iris, aes(x=Sepal.Length, y=..density.., colour=Species)) p+geom_histogram(position="dodge") Cheers Petr > -----Original Message----- > From: R-help <r-help-boun...@r-project.org> On Behalf Of Bogdan Tanasa > Sent: Wednesday, February 24, 2021 11:07 PM > To: r-help <r-help@r-project.org> > Subject: [R] overlaying frequency histograms or density plots in R > > Dear all, we do have a dataframe with a FACTOR called EXP that has 3 LEVELS ; > > head(pp_ALL) > VALUE EXP > 1 1639742 DMSO > 2 1636822 DMSO > 3 1634202 DMSO > > shall i aim to overlay the relative frequency histograms, or the density > histograms for the FACTOR LEVELS, > > please would you let me know why the following 2 pieces of R code show > very different results : > > ggplot(pp_ALL, aes(x=VALUE, colour=EXP)) + geom_density() > > versus > > ggplot(data=pp_ALL) + > geom_histogram(mapping=aes(x=VALUE, y=..density.., colour=EXP), > bins=1000) > > thanks, > > bogdan > > ps : perhaps i shall email to the folks on ggplot2 mailing list too ... > > [[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.