# [R] GGPlot plot

Francesca |r@nce@c@@p@ncotto @end|ng |rom gm@||@com
Thu Jul 19 06:24:10 CEST 2018

```Thanks for the answer.

Il gio 19 lug 2018, 01:04 Jim Lemon <drjimlemon using gmail.com> ha scritto:

> Hi Francesca,
> This looks like a fairly simple task. Try this:
>
>  0          0
>  4          1
>  0          0
>  8          0
>  4          0
>  0          1
>  0          1",
> # get the number of positive PASP results by group
> ppos<-by(fpdf\$SUBJC,fpdf\$PASPpos,sum)
> # get the number of subjects per group
> spg<-c(sum(fpdf\$SUBJC==0),sum(fpdf\$SUBJC==1))
> barplot(ppos/spg,names.arg=c(0,1),xlab="Group",
>  ylab="Proportion PASP > 0",main="Proportion of PASP positive by group")
>
> Jim
>
> On Thu, Jul 19, 2018 at 2:47 AM, Francesca <francesca.pancotto using gmail.com>
> wrote:
> > Dear R help,
> >
> > I am new to ggplot so I apologize if my question is a bit obvious.
> >
> > I would like to create a plot where a compare the fraction of the values
> of a variable called PASP out of the number of subjects, for two groups of
> subject codified with a dummy variable called SUBJC.
> >
> > The variable PASP is discrete and only takes values 0,4,8..
> >
> > My data are as following:
> >
> >
> >
> > PASP   SUBJC
> >
> >
> >
> > 0          0
> >
> > 4          1
> >
> > 0          0
> >
> > 8          0
> >
> > 4          0
> >
> > 0          1
> >
> > 0          1
> >
> > .           .
> >
> > .           .
> >
> > .           .
> >
> >
> >
> >
> > I would like to calculate the fraction of positive levels of PASP out of
> the total number of observations, divided per values of SUBJ=0 and 1. I am
> new to the use of GGPlot and I do not know how to organize the data and
> what to use to summarize these data as to obtain a picture as follows:
> >
> >
> >
> >
> >
> > I hope my request is clear. Thanks for any help you can provide.
> >
> > Francesca
> >
> >
> >
> > ______________________________________________
> > R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
>

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