[R] Mailinglist

[PIKAL Petr]

Hi Rachel.

You already have got several suggestions, but results depend on structure of your data. The best way from your side would be just copy a part of your data directly to email and preferable way is to use "dput".

Assuming your data already transfered to R are called "mydata".

You can just copy otput of

dput(mydata[1:30,])

to your next mail.

Cheers
Petr


> -----Original Message-----
> From: R-help <r-help-bounces using r-project.org> On Behalf Of Rachel Thompson
> Sent: Sunday, January 6, 2019 7:49 PM
> To: Rich Shepard <rshepard using appl-ecosys.com>
> Cc: r-help mailing list <r-help using r-project.org>
> Subject: Re: [R] Mailinglist
>
> Hi Rich,
>
> I really feel lost at this point.
> I need a code that helps me count the phone activity level(high/low/none),
> the screen activity (on/off) and the amount calls and SMS of each subject.
>
> 1. I want to have a summary of how many times a specific subject got called
> (CallLogProbe)
> 2. I want to have a summary of how many times a specific subject got a text
> message (SMS probe)
> 3. I want to have a summary of how many times a specific subject
> - Turned their screen on - True  (ScreenProbe)
> - Or did not turn their screen on - False (ScreenProbe)
> 4.  I want to have a summary of the activity level of a specific subject
> - Activity level - none (ActivityProbe)
> - Activity level- low     (ActivityProbe)
> - Activity level - High  (ActivityProbe)
>
> I want to do this for all the 36 subjects(Participants).
> In the end, I have to define the percentages and cutoff points of what is
> considered low-medium-high, based on what the results of all the subjects
> are. So I am able to see if a specific subject has low social interaction
> etc.
>
> I have tried a lot, with the help of youtube etc. But I feel as if I am
> trying a lot of things but without clearly knowing if it is the right step.
> I have a csv file, but I need to look into what Jeff said about the guides.
> So I am able to share it.
>
> Best.
>
>
> On Sun, Jan 6, 2019 at 11:51 AM Rich Shepard <rshepard using appl-ecosys.com>
> wrote:
>
> > On Sun, 6 Jan 2019, Rachel Thompson wrote:
> >
> > > I am an intern from Amsterdam and I have to do an analysis in R. I spoke
> > > to my professor in Amsterdam and my supervisor's here in Boston. But they
> > > are to busy to help. I informed them from the start that I am not
> > familiar
> > > with R(Rstudio) and they told me that I would receive guidance. So since
> > > they can not help me, I decided to share my problem online. (It is a CVS
> > > file imported into R)
> >
> > Rachel,
> >
> >    I find it interesting that you're put in such a difficult position. I've
> > not followed this thread from the start so my comments might be redundant
> > or
> > inappropriate.
> >
> >    If you can, describe the problem. That is, what are you being asked to
> > find and what are the available data? This information helps us to guide
> > you
> > to learning the mechanics for accomplishing your task with R.
> >
> > Regards,
> >
> > Rich
> >
> > ______________________________________________
> > R-help using 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.
> >
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help using 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.
Osobní údaje: Informace o zpracování a ochraně osobních údajů obchodních partnerů PRECHEZA a.s. jsou zveřejněny na: https://www.precheza.cz/zasady-ochrany-osobnich-udaju/ | Information about processing and protection of business partner’s personal data are available on website: https://www.precheza.cz/en/personal-data-protection-principles/
Důvěrnost: Tento e-mail a jakékoliv k němu připojené dokumenty jsou důvěrné a podléhají tomuto právně závaznému prohláąení o vyloučení odpovědnosti: https://www.precheza.cz/01-dovetek/ | This email and any documents attached to it may be confidential and are subject to the legally binding disclaimer: https://www.precheza.cz/en/01-disclaimer/