Message-ID: <f06ecd145485480db4d7bfbd7e25c193@SRVEXCHCM1302.precheza.cz>
Date: 2021-02-25T07:00:03Z
From: PIKAL Petr
Subject: overlaying frequency histograms or density plots in R
In-Reply-To: <CA+JEM03pOWd8Msmw_FpQWOMnxE3SyfFGsDX87YapezRLrU=6UA@mail.gmail.com>
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-bounces at r-project.org> On Behalf Of Bogdan Tanasa
> Sent: Wednesday, February 24, 2021 11:07 PM
> To: r-help <r-help at 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]]
>
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