On 3/28/19 11:33 AM, Bernard McGarvey wrote:> pracma meets my needs - thanks - this is an amazing package with lots of
very very useful functions. Thanks for bringing it to my attention.
Excellent. I'll mention also the hdrcde package which addresses some of
your questions as well. It also has a "sliced" approach to disply of
2d
densities that I found informative and attractive.
--
David.
>
> Bernard McGarvey
>
>
> Director, Fort Myers Beach Lions Foundation, Inc.
>
>
> Retired (Lilly Engineering Fellow).
>
>
>> On March 28, 2019 at 1:40 PM David Winsemius <dwinsemius at
comcast.net> wrote:
>>
>>
>>
>> On 3/27/19 3:43 PM, Bernard Comcast wrote:
>>> To follow on Jeff, is there a function to do 2-D (double) numerical
integration in R?
>> Packages pracma and cubature offer a variety of solutions to that task.
>>
>>
>> --
>>
>> David.
>>
>>
>>> Bernard
>>> Sent from my iPhone so please excuse the spelling!"
>>>
>>>> On Mar 27, 2019, at 6:38 PM, Jeff Newmiller <jdnewmil at
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 at 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 at 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 at 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 at 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 at 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 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.
>>>>>>>>>
>>>>>>>>> --
>>>>>>>>> John Kane
>>>>>>>>> Kingston ON Canada
>>>>>>>>>
>>>>>>>>>
______________________________________________
>>>>>>>>> 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.
>>>>>>> --
>>>>>>> Dr Paul Murrell
>>>>>>> Department of Statistics
>>>>>>> The University of Auckland
>>>>>>> Private Bag 92019
>>>>>>> Auckland
>>>>>>> New Zealand
>>>>>>> 64 9 3737599 x85392
>>>>>>> paul at stat.auckland.ac.nz
>>>>>>> http://www.stat.auckland.ac.nz/~paul/
>>>>>> ______________________________________________
>>>>>> 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]]
>>>>>
>>>>> ______________________________________________
>>>>> 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.
>>>> --
>>>> Sent from my phone. Please excuse my brevity.
>>> ______________________________________________
>>> 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.