[R] [FORGED] Re: Quantile Density Contours

[Jeff Newmiller]

https://cran.r-project.org/web/views/Multivariate.html

https://cran.r-project.org/web/views/

On March 27, 2019 4:05:31 PM PDT, Bernard Comcast <mcgarvey.bernard using comcast.net> wrote:
>No - how do I access that?
>
>Bernard
>Sent from my iPhone so please excuse the spelling!"
>
>> On Mar 27, 2019, at 6:57 PM, Jeff Newmiller
><jdnewmil using dcn.davis.ca.us> wrote:
>> 
>> I don't know. Have you looked at the Multivariate Task View?
>> 
>>> On March 27, 2019 3:43:52 PM PDT, Bernard Comcast
><mcgarvey.bernard using comcast.net> wrote:
>>> To follow on Jeff, is there a function to do 2-D (double) numerical
>>> integration in R?
>>> 
>>> Bernard
>>> Sent from my iPhone so please excuse the spelling!"
>>> 
>>>> On Mar 27, 2019, at 6:38 PM, Jeff Newmiller
>>> <jdnewmil using dcn.davis.ca.us> wrote:
>>>> 
>>>> Regardless of how many dimensions you have for independent
>variables,
>>> the density is one-dimensional, and if you assume the density
>function
>>> has been determined (e.g. by kernel estimation or by a Gaussian
>copula)
>>> then if you integrate the density function along that dimension
>there
>>> will be unique slices of the multivariate input domain determined by
>>> those slices. They might in general be disjoint regions of the
>>> independent variable space, but that is what the contour function
>does.
>>>> 
>>>> I am not seeing your point, Bert, unless you are unwilling to
>assume
>>> a density function model?
>>>> 
>>>>> On March 27, 2019 2:18:18 PM PDT, Bert Gunter
>>> <bgunter.4567 using gmail.com> wrote:
>>>>> You are missing a crucial point. The reals are well ordered;
>higher
>>>>> dimensions are not. Therefore 2d quantile contours are not unique.
>>>>> 
>>>>> Of course assuming I understand your query correctly.
>>>>> 
>>>>> 
>>>>> Bert
>>>>> 
>>>>> On Wed, Mar 27, 2019, 13:55 Bernard McGarvey
>>>>> <mcgarvey.bernard using comcast.net>
>>>>> wrote:
>>>>> 
>>>>>> If I understand correctly the ContourLines function gives you the
>>>>> contour
>>>>>> lines when you put in the data. But before this I need to data to
>>> put
>>>>> into
>>>>>> that function. I think this is something like a 2D CDF of the
>data
>>>>> that
>>>>>> then leads to the 2D quantiles but I am not 100% sure. What I am
>>>>> basically
>>>>>> looking for is the 2D curve that encloses say 95% of the data in
>a
>>>>> similar
>>>>>> fashion to a 1D quantile where the quantile represents the value
>>> that
>>>>> x% of
>>>>>> the data is below. I think what I am looking for is the 2D
>>> bivariate
>>>>>> version of the 1D quantile plot (where the quantile value is
>>> plotted
>>>>> vs the
>>>>>> % value).
>>>>>> 
>>>>>> I hope this makes some sense.
>>>>>> 
>>>>>> Bernard McGarvey
>>>>>> 
>>>>>> 
>>>>>> Director, Fort Myers Beach Lions Foundation, Inc.
>>>>>> 
>>>>>> 
>>>>>> Retired (Lilly Engineering Fellow).
>>>>>> 
>>>>>> 
>>>>>>> On March 27, 2019 at 3:57 PM Paul Murrell
>>>>> <paul using stat.auckland.ac.nz>
>>>>>> wrote:
>>>>>>> 
>>>>>>> 
>>>>>>> 
>>>>>>> Are you looking for the contourLines() function ?
>>>>>>> 
>>>>>>> Paul
>>>>>>> 
>>>>>>>> On 28/03/19 8:37 AM, Bernard McGarvey wrote:
>>>>>>>> John, I have attached a pdf of the plot. Hopefully you can read
>>>>> this.
>>>>>>>> 
>>>>>>>> If I understand correctly, this plot is basically the 2-D
>version
>>>>> of
>>>>>> the 1-D quantile plot.
>>>>>>>> 
>>>>>>>> Thanks
>>>>>>>> 
>>>>>>>> Bernard McGarvey
>>>>>>>> 
>>>>>>>> 
>>>>>>>> Director, Fort Myers Beach Lions Foundation, Inc.
>>>>>>>> 
>>>>>>>> 
>>>>>>>> Retired (Lilly Engineering Fellow).
>>>>>>>> 
>>>>>>>> 
>>>>>>>>> On March 27, 2019 at 7:44 AM John Kane <jrkrideau using gmail.com>
>>>>> wrote:
>>>>>>>>> 
>>>>>>>>> 
>>>>>>>>> The figure did not get  through. Perhaps try a pdf?
>>>>>>>>> 
>>>>>>>>> On Tue, 26 Mar 2019 at 13:41, Bernard McGarvey
>>>>>>>>> <mcgarvey.bernard using comcast.net> wrote:
>>>>>>>>>> 
>>>>>>>>>> I want to see if I can reproduce the plot below in R. If I
>>>>>> understand it correctly, i takes my bivariate data and creates
>>>>> quantile
>>>>>> density contours. My interpretation of these contours is that
>they
>>>>> enclose
>>>>>> a certain % of the total data. I am using the bkde2D function in
>>>>> library
>>>>>> KernSmooth which gives density values that can be plotted on a
>>>>> contour plot
>>>>>> but I would like the curves that enclose a given % of the data,
>if
>>>>> that is
>>>>>> possible
>>>>>>>>>> 
>>>>>>>>>> 
>>>>>>>>>> Thanks
>>>>>>>>>> 
>>>>>>>>>> 
>>>>>>>>>> 
>>>>>>>>>> 
>>>>>>>>>> 
>>>>>>>>>> Bernard McGarvey
>>>>>>>>>> 
>>>>>>>>>> Director, Fort Myers Beach Lions Foundation, Inc.
>>>>>>>>>> 
>>>>>>>>>> Retired (Lilly Engineering Fellow).
>>>>>>>>>> 
>>>>>>>>>> 
>>>>>>>>>> ______________________________________________
>>>>>>>>>> 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.
>>>>>>>>> 
>>>>>>>>> 
>>>>>>>>> 
>>>>>>>>> --
>>>>>>>>> John Kane
>>>>>>>>> Kingston ON Canada
>>>>>>>>> 
>>>>>>>>> ______________________________________________
>>>>>>>>> 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.
>>>>>>> 
>>>>>>> --
>>>>>>> Dr Paul Murrell
>>>>>>> Department of Statistics
>>>>>>> The University of Auckland
>>>>>>> Private Bag 92019
>>>>>>> Auckland
>>>>>>> New Zealand
>>>>>>> 64 9 3737599 x85392
>>>>>>> paul using stat.auckland.ac.nz
>>>>>>> http://www.stat.auckland.ac.nz/~paul/
>>>>>> 
>>>>>> ______________________________________________
>>>>>> 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.
>>>> 
>>>> -- 
>>>> Sent from my phone. Please excuse my brevity.
>> 
>> -- 
>> Sent from my phone. Please excuse my brevity.

-- 
Sent from my phone. Please excuse my brevity.