[R] Simple qqplot question

[Ralf B]

Unfortunately not. I want a qqplot from two variables.

Ralf


On Thu, Jun 24, 2010 at 7:23 PM, Joris Meys <jorismeys at gmail.com> wrote:
> Also take a look at qq.plot in the package "car". Gives you exactly
> what you want.
> Cheers
> Joris
>
> On Fri, Jun 25, 2010 at 12:55 AM, Ralf B <ralf.bierig at gmail.com> wrote:
>> More details...
>>
>> I have two distributions which are very similar. I have plotted
>> density plots already from the two distributions. In addition,
>> I created a qqplot that show an almost straight line. What I want is a
>> line that represents the ideal case in which the two
>> distributions match perfectly. I would use this line to see how much
>> the errors divert at different stages of the plot.
>>
>> Ralf
>>
>>
>>
>> On Thu, Jun 24, 2010 at 5:56 PM, stephen sefick <ssefick at gmail.com> wrote:
>>> You are going to have to define the question a little better.  Also,
>>> please provide a reproducible example.
>>>
>>> On Thu, Jun 24, 2010 at 4:44 PM, Ralf B <ralf.bierig at gmail.com> wrote:
>>>> I am a beginner in R, so please don't step on me if this is too
>>>> simple. I have two data sets datax and datay for which I created a
>>>> qqplot
>>>>
>>>> qqplot(datax,datay)
>>>>
>>>> but now I want a line that indicates the perfect match so that I can
>>>> see how much the plot diverts from the ideal. This ideal however is
>>>> not normal, so I think qqnorm and qqline cannot be applied.
>>>>
>>>> Perhaps you can help?
>>>>
>>>> Ralf
>>>>
>>>> ______________________________________________
>>>> R-help at r-project.org mailing list
>>>> 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.
>>>>
>>>
>>>
>>>
>>> --
>>> Stephen Sefick
>>> ____________________________________
>>> | Auburn University                                   |
>>> | Department of Biological Sciences           |
>>> | 331 Funchess Hall                                  |
>>> | Auburn, Alabama                                   |
>>> | 36849                                                    |
>>> |___________________________________|
>>> | sas0025 at auburn.edu                             |
>>> | http://www.auburn.edu/~sas0025             |
>>> |___________________________________|
>>>
>>> Let's not spend our time and resources thinking about things that are
>>> so little or so large that all they really do for us is puff us up and
>>> make us feel like gods.  We are mammals, and have not exhausted the
>>> annoying little problems of being mammals.
>>>
>>>                                                                -K. Mullis
>>>
>>
>> ______________________________________________
>> R-help at r-project.org mailing list
>> 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.
>>
>
>
>
> --
> Joris Meys
> Statistical consultant
>
> Ghent University
> Faculty of Bioscience Engineering
> Department of Applied mathematics, biometrics and process control
>
> tel : +32 9 264 59 87
> Joris.Meys at Ugent.be
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