[R] Multiple Histograms in R

[Ulrik Stervbo]

Hi Prateek,

maybe facet_* with ggplot is what you are looking for

HTH
Ulrik

On Thu, 20 Apr 2017 at 13:24 prateek pande <prtkpande at gmail.com> wrote:

> HI Hasan,
>
> Thanks for sharing the solution. Really appreciate it.
>
> But i was reading somewhere that we cannot use par with ggplot 2 . we can
> only use grid extra to have multiple plots in a single view.
>
> Is it right?
>
> Regards
> Prateek
>
> On Thu, Apr 20, 2017 at 10:47 AM, Hasan Diwan <hasan.diwan at gmail.com>
> wrote:
>
> > Prateek,
> > I'm shocked this isn't answered previously, but you can try the par
> > command (mfrow and mfcol parameters) and par(mfrow=n, mfcol=m) will
> > generate n plots per row and m rows per column. For subsequent questions,
> > please do a search through the archives before asking. -- H
> >
> > On 19 April 2017 at 06:05, prateek pande <prtkpande at gmail.com> wrote:
> >
> >> Hi,
> >>
> >> I have a data as mentioned below(at the bottom)
> >>
> >> Now out of that data i have to create multiple histograms in a single
> view
> >> in  R. On that histogram i need on x -axis binned data with Breaks 10
> and
> >> on y axis event rate . Here churn is dependent variable.
> >>
> >>
> >> *for example, for mou_mean , on x -axis on histogram i need
> Bins(mou_mean)
> >> and on y - axis in need Churn%age. *
> >> *Bins(mou_mean)*
> >>
> >> *Churn %age*
> >> 23-43                                          0.23%
> >> 33-53                                          0.5%
> >> 43-63                                           0.3%
> >> 53-73                                           0.4%
> >> 63-83                                           0.7%
> >> 83-103                                        0.8%
> >>
> >> Please help
> >>
> >>
> >> *mou_mean*
> >>
> >> *totalmrc_mean*
> >>
> >> *rev_range*
> >>
> >> *mou_range*
> >>
> >> *Churn*
> >>
> >> 23
> >>
> >> 24
> >>
> >> 25
> >>
> >> 27
> >>
> >> 1
> >>
> >> 45
> >>
> >> 46
> >>
> >> 47
> >>
> >> 49
> >>
> >> 1
> >>
> >> 43
> >>
> >> 44
> >>
> >> 45
> >>
> >> 47
> >>
> >> 1
> >>
> >> 45
> >>
> >> 46
> >>
> >> 47
> >>
> >> 49
> >>
> >> 0
> >>
> >> 56
> >>
> >> 57
> >>
> >> 58
> >>
> >> 60
> >>
> >> 0
> >>
> >> 67
> >>
> >> 68
> >>
> >> 69
> >>
> >> 71
> >>
> >> 1
> >>
> >> 67
> >>
> >> 68
> >>
> >> 69
> >>
> >> 71
> >>
> >> 0
> >>
> >> 44
> >>
> >> 45
> >>
> >> 46
> >>
> >> 48
> >>
> >> 1
> >>
> >> 33
> >>
> >> 34
> >>
> >> 35
> >>
> >> 37
> >>
> >> 0
> >>
> >> 90
> >>
> >> 91
> >>
> >> 92
> >>
> >> 94
> >>
> >> 1
> >>
> >> 87
> >>
> >> 88
> >>
> >> 89
> >>
> >> 91
> >>
> >> 1
> >>
> >> 76
> >>
> >> 77
> >>
> >> 78
> >>
> >> 80
> >>
> >> 1
> >>
> >> 33
> >>
> >> 34
> >>
> >> 35
> >>
> >> 37
> >>
> >> 1
> >>
> >> 44
> >>
> >> 45
> >>
> >> 46
> >>
> >> 48
> >>
> >> 1
> >>
> >>         [[alternative HTML version deleted]]
> >>
> >> ______________________________________________
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> >> https://stat.ethz.ch/mailman/listinfo/r-help
> >> PLEASE do read the posting guide http://www.R-project.org/posti
> >> ng-guide.html
> >> and provide commented, minimal, self-contained, reproducible code.
> >>
> >
> >
> >
> > --
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> > get&search=0xFEBAD7FFD041BBA1
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>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at 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.
>

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