[R-sig-ME] The criteria of MLRA parameter

[Jeff Newmiller]

To expand on Mollie's suggestion... R only "contains" direct support for a very small fraction of the subjects that people use it to analyze... which is why there is a distinction between "base" and "contributed" downloads from CRAN. Thus, as mentioned before, you need to make sure you are asking the right people the right questions.

I for one have no idea what MLRA is, though rseek suggests that it might have something to do with land use? If that is the case then you might read about various packages mentioned under the Spatial Task View [1], and consider pursuing further questions in the R-sig-geo mailing list [2]. If not, then you may find more subject-specific information in other Task Views [3], and relevant package documentation will often mention appropriate forums for discussing their topics.

You should be careful not to narrow your search too much, as I would guess that some of the terms you have identified (e.g. ROC) are addressed in much more generic ways (whether by contributed or base functionality) than under your particular use case... but this is your research, not ours.

When you have a question about R rather than statistics (or land use) then read the Posting Guide and  have an R code example with sample data to discuss when you ask here about it.

[1] https://cran.r-project.org/web/views/Spatial.html
[2] https://stat.ethz.ch/mailman/listinfo/r-sig-geo
[3] https://cran.r-project.org/web/views/

On March 29, 2019 7:49:05 AM PDT, Mollie Brooks <mollieebrooks using gmail.com> wrote:
>https://rseek.org <https://rseek.org/> is a useful resource. 
>
>cheers,
>Mollie
>
>> On 29Mar 2019, at 15:45, hasyim hasyim <hasyim73 using outlook.com> wrote:
>> 
>> 
>> Thank you for your kind feedback and gentle reminder concerning
>regulation of the topic discussion.
>> 
>> I want to ask again, is there a link, for-learning the command of
>each parameter below using R software?
>> 
>> The Median Odds Ratio (MOR),
>> 80% Interval Odds Ratio (80% IOR),
>> The proportion of Odds Ratios of opposite direction (POOR),
>> Intraclass Correlation Coefficient (ICC),
>> the Proportional Change of the Variance (PCV), and
>> The area under the receiver operating characteristic curve (AU-ROC)
>> 
>> Thank you very much for offering to help out with this case for
>improving my knowledge to create the syntax of each parameter use R. I
>appreciate your willingness to assist.
>> 
>> 
>> Kind regards
>> 
>> Hasyim
>> 
>> On Fri, 29 Mar 2019 at 04:10, Jeff Newmiller
><jdnewmil using dcn.davis.ca.us<mailto:jdnewmil using dcn.davis.ca.us>> wrote:
>> This request is not about R. Therefore it is off-topic on this
>mailing list. In general, forum participants don't typically enjoy
>playing the part of a dictionary or textbook, so even referring you to
>a statistics forum like
>stats.stackexchange.com<http://stats.stackexchange.com> would not be
>doing you or them any favors. Please do some reading and if you have
>questions about statistical concepts then consider asking those
>directed questions on
>stats.stackexchange.com<http://stats.stackexchange.com>.
>> 
>> On March 28, 2019 7:07:07 AM PDT, hasyim hasyim
><hasyim73 using outlook.com<mailto:hasyim73 using outlook.com>> wrote:
>>> Hi everyone,
>>> 
>>> Could you please explain this in detail to me the criteria of each
>>> parameter below that use in multilevel regression logistic analysis
>>> (MLRA) such as:
>>> 
>>> the Median Odds Ratio (MOR),
>>> 80% Interval Odds Ratio (80% IOR),
>>> Proportion of Odds Ratios of opposite direction (POOR),
>>> Intraclass Correlation Coefficient (ICC),
>>> the Proportional Change of the Variance (PCV), and
>>> Area under the receiver operating characteristic curve (AU-ROC)
>>> 
>>> 
>>> Thank you, I really appreciate your help.
>>> 
>>> 
>>> Kind regards
>>> 
>>> 
>>> Hasyim
>>> 
>>>      [[alternative HTML version deleted]]
>>> 
>>> _______________________________________________
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>> 
>> --
>> Sent from my phone. Please excuse my brevity.
>> 
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-- 
Sent from my phone. Please excuse my brevity.