[R] Vargha and delaney effect size

[Kum-Hoe Hwang]

On Sun, Oct 6, 2019 at 4:24 PM Eric Berger <ericjberger using gmail.com> wrote:

> [Sending your follow-on question to the full R-help list]
>
> On Fri, Oct 4, 2019 at 7:13 PM javed khan <javedbtk111 using gmail.com> wrote:
>
> > Thanks for your reply. I checked the example of treatment and control but
> > I can not understand the first four lines. How can we do it if we have
> the
> > data (both columns) in excel and we read it in code with read.csv.
> >
> > Best regards
> >
> > On Friday, October 4, 2019, Eric Berger <ericjberger using gmail.com> wrote:
> >
> >> For general documentation about the effsize package you would do:
> >> > help(package="effsize")
> >>
> >> For information on calculations related to vargha:
> >> >??vargha
> >> This command displays effsize::VD.A, which you can find out about via
> the
> >> command
> >> >?effsize::VD.A
> >> This displays the documentation for the function VD.A. At the top of the
> >> documentation you have the Description and Usage sections. At the bottom
> >> there are some examples of using the function.
> >>
> >> HTH,
> >> Eric
> >>
> >>
> >> On Fri, Oct 4, 2019 at 10:44 AM javed khan <javedbtk111 using gmail.com>
> wrote:
> >>
> >>> I am new to R language. I have two column data I.e X= 0.23, 0.04, 0.5,
> -
> >>> 0.20 etc and B= 0.34, 0.01, 0.1, 0.09 etc. The number of observations
> are
> >>> 100. How can I apply vargha and delaney effect size in R? I load the
> data
> >>> as, read.csv(mydata.csv) and load the library effsize. Please if
> someone
> >>> can help because I have no idea about the next step to follow.
> >>>
> >>> Thanks
> >>>
> >>>         [[alternative HTML version deleted]]
> >>>
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> >>> and provide commented, minimal, self-contained, reproducible code.
> >>>
> >>
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
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> PLEASE do read the posting guide
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> and provide commented, minimal, self-contained, reproducible code.
>

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