R help - Nov 2017 - Scatterplot of many variables against a single variable

LOL. Great reply Jim.
(N.B. Jim's conclusion is "debatable" by a judicious choice of
seed. e.g.
set.seed(79) suggests that making the request more readable will actually
lower the number of useful answers. :-))


On Mon, Nov 27, 2017 at 11:42 AM, Jim Lemon <drjimlemon at gmail.com>
wrote:
> Hi Engin,
> Sadly, your illustration was ambushed on the way to the list. Perhaps
> you want something like this:
>
> # proportion of useful answers to your request
> pua<-sort(runif(20))
> #legibility of your request
> lor<-sort(runif(20))+runif(20,-0.5,0.5)
> # is a data set provided?
> dsp<-sort(runif(20))+runif(20,-0.5,0.5)
> # generate a linear model for the above
> pua.lm<-lm(pua~lor+dsp)
> # get the coefficients
> pua.lm
>
> Call:
> lm(formula = pua ~ lor + dsp)
>
> Coefficients:
> (Intercept)          lor          dsp
>     0.1692       0.6132       0.3311
>
> plot(pua~lor,col="red",main="Proportion of useful answers by
request
> quality")
> points(pua~dsp,col="blue",pch=2)
> abline(0.1692,0.6132,col="red")
> abline(0.1692,0.3311,col="blue")
>
> So, the more readable your request and the quality of the data that
> you provide, the more useful answers you are likely to receive.
>
> Jim
>
>
> On Mon, Nov 27, 2017 at 7:56 PM, Engin YILMAZ <ispanyolcom at
gmail.com>
> wrote:
> > Dear
> >
> > I try to realize one scatter matrix which draws *one single variable
to
> all
> > variables* with *regression line* . You can see my eviews version  in
the
> > annex .
> >
> > How can I draw this graph with R studio?
> >
> >
> > Sincerely
> > Engin YILMAZ
> > ______________________________________________
> > 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.
>
> ______________________________________________
> 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.
>
	[[alternative HTML version deleted]]

Dear Berger and Jim

Can you see my eviews example in the annex? (scattersample.jpg)

Sincerely
Engin

2017-11-27 13:27 GMT+03:00 Eric Berger <ericjberger at gmail.com>:
> LOL. Great reply Jim.
> (N.B. Jim's conclusion is "debatable" by a judicious choice
of seed. e.g.
> set.seed(79) suggests that making the request more readable will actually
> lower the number of useful answers. :-))
>
>
> On Mon, Nov 27, 2017 at 11:42 AM, Jim Lemon <drjimlemon at gmail.com>
wrote:
>
>> Hi Engin,
>> Sadly, your illustration was ambushed on the way to the list. Perhaps
>> you want something like this:
>>
>> # proportion of useful answers to your request
>> pua<-sort(runif(20))
>> #legibility of your request
>> lor<-sort(runif(20))+runif(20,-0.5,0.5)
>> # is a data set provided?
>> dsp<-sort(runif(20))+runif(20,-0.5,0.5)
>> # generate a linear model for the above
>> pua.lm<-lm(pua~lor+dsp)
>> # get the coefficients
>> pua.lm
>>
>> Call:
>> lm(formula = pua ~ lor + dsp)
>>
>> Coefficients:
>> (Intercept)          lor          dsp
>>     0.1692       0.6132       0.3311
>>
>> plot(pua~lor,col="red",main="Proportion of useful
answers by request
>> quality")
>> points(pua~dsp,col="blue",pch=2)
>> abline(0.1692,0.6132,col="red")
>> abline(0.1692,0.3311,col="blue")
>>
>> So, the more readable your request and the quality of the data that
>> you provide, the more useful answers you are likely to receive.
>>
>> Jim
>>
>>
>> On Mon, Nov 27, 2017 at 7:56 PM, Engin YILMAZ <ispanyolcom at
gmail.com>
>> wrote:
>> > Dear
>> >
>> > I try to realize one scatter matrix which draws *one single
variable to
>> all
>> > variables* with *regression line* . You can see my eviews version 
in
>> the
>> > annex .
>> >
>> > How can I draw this graph with R studio?
>> >
>> >
>> > Sincerely
>> > Engin YILMAZ
>> > ______________________________________________
>> > 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/posti
>> ng-guide.html
>> > and provide commented, minimal, self-contained, reproducible code.
>>
>> ______________________________________________
>> 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/posti
>> ng-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>

-- 
*Sayg?lar?mla*
Engin YILMAZ

> On 27 Nov 2017, at 13:59, Engin YILMAZ <ispanyolcom at gmail.com>
wrote:
> 
> Dear Berger and Jim
> 
> Can you see my eviews example in the annex? (scattersample.jpg)
> 
> Sincerely
> Engin
Please, use an image hosting service (i.e. https://imgbb.com/) to share images
in the list and share the link in the email.

You do not appear to have read the Posting Guide mentioned at the bottom if this
and every posting on the mailing list.

Only a very few attachment types are allowed through the mailing list... and due
to the way many email programs fail to identify them properly, even those few
types may not make it through.

Also, this is a plain text email list... any time you send HTML-formatted email
it gets converted to plain text with varying amounts of scrambling... you really
need to tell your email program to send plain text format or we may see
something very different than you saw when you sent it.

Luckily, R is a text based programing environment, so if you include a complete
(with sample data), minimal (so we don't get lost looking at code you
already have working), reproducible (so we can run it from scratch in our R
environment) example of your problem in the main body of your plain text email,
we should be able to help you efficiently. If you don't do that, we usually
won't understand what your problem is and could either bounce useless emails
back and forth or may just not reply at all.

[1]
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example

[2] http://adv-r.had.co.nz/Reproducibility.html

[3] https://cran.r-project.org/web/packages/reprex/index.html (read the
vignette)
-- 
Sent from my phone. Please excuse my brevity.

On November 27, 2017 2:59:10 AM PST, Engin YILMAZ <ispanyolcom at
gmail.com> wrote:
>Dear Berger and Jim
>
>Can you see my eviews example in the annex? (scattersample.jpg)
>
>Sincerely
>Engin
>
>2017-11-27 13:27 GMT+03:00 Eric Berger <ericjberger at gmail.com>:
>
>> LOL. Great reply Jim.
>> (N.B. Jim's conclusion is "debatable" by a judicious
choice of seed.
>e.g.
>> set.seed(79) suggests that making the request more readable will
>actually
>> lower the number of useful answers. :-))
>>
>>
>> On Mon, Nov 27, 2017 at 11:42 AM, Jim Lemon <drjimlemon at
gmail.com>
>wrote:
>>
>>> Hi Engin,
>>> Sadly, your illustration was ambushed on the way to the list.
>Perhaps
>>> you want something like this:
>>>
>>> # proportion of useful answers to your request
>>> pua<-sort(runif(20))
>>> #legibility of your request
>>> lor<-sort(runif(20))+runif(20,-0.5,0.5)
>>> # is a data set provided?
>>> dsp<-sort(runif(20))+runif(20,-0.5,0.5)
>>> # generate a linear model for the above
>>> pua.lm<-lm(pua~lor+dsp)
>>> # get the coefficients
>>> pua.lm
>>>
>>> Call:
>>> lm(formula = pua ~ lor + dsp)
>>>
>>> Coefficients:
>>> (Intercept)          lor          dsp
>>>     0.1692       0.6132       0.3311
>>>
>>> plot(pua~lor,col="red",main="Proportion of useful
answers by request
>>> quality")
>>> points(pua~dsp,col="blue",pch=2)
>>> abline(0.1692,0.6132,col="red")
>>> abline(0.1692,0.3311,col="blue")
>>>
>>> So, the more readable your request and the quality of the data that
>>> you provide, the more useful answers you are likely to receive.
>>>
>>> Jim
>>>
>>>
>>> On Mon, Nov 27, 2017 at 7:56 PM, Engin YILMAZ
><ispanyolcom at gmail.com>
>>> wrote:
>>> > Dear
>>> >
>>> > I try to realize one scatter matrix which draws *one single
>variable to
>>> all
>>> > variables* with *regression line* . You can see my eviews
version
>in
>>> the
>>> > annex .
>>> >
>>> > How can I draw this graph with R studio?
>>> >
>>> >
>>> > Sincerely
>>> > Engin YILMAZ
>>> > ______________________________________________
>>> > 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/posti
>>> ng-guide.html
>>> > and provide commented, minimal, self-contained, reproducible
code.
>>>
>>> ______________________________________________
>>> 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/posti
>>> ng-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>>
>>
>>
>
>
>-- 
>*Sayg?lar?mla*
>Engin YILMAZ
>______________________________________________
>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.