[R] [FORGED] Mixed Beta Disrubutions

[David Winsemius]

> On Dec 28, 2015, at 4:35 PM, mesude bayrakci <mesudebayrakci at gmail.com> wrote:
> 
> Hello,
> 
> "Treat everyone with politeness, even those who are rude to you - not
> because they are nice, but because you are"

It's generally considered rude to accuse someone of rudeness. However customs in the regard are highly variable as the Posting Guide reminds us: " Remember that customs differ. Some people are very direct. Others surround everything they say with hedges and apologies. Be tolerant. Rudeness is never warranted, but sometimes `read the manual’ is the appropriate response. Don’t waste time discussing such matters on the list. Ad hominem comments are absolutely out of place."

> 
> The forum's name is  "R-help",  not "R-help for people who are experts in
> statistic and R". Please if you would like to help and just help. If you do
> not like the posts (or questions), you simply do not answer.

Rolf _did_ answer. Initially, even with "cheers". 

So, hgave you now awakened to the fact that Rolf's reference to Achim Zeileis' response to a basically identical question was on point and addressed all of your questions? And that, therefore, you were wrong (in your reply) to his cheery initial answer about him having not answered your question? I think the word "obtuse" was technically correct in this instance, at least in the sense of "exhibiting an unwillingness to accept or acknowledge helpful advice". 

Another word that has occurred to me in this context:

in·grate
ˈinɡrāt/
noun
	• 1.
an ungrateful person.
adjective  literary
	• 1.
ungrateful.

-- 
David.


> 
> On Mon, Dec 28, 2015 at 6:39 PM, Rolf Turner <r.turner at auckland.ac.nz>
> wrote:
> 
>> On 29/12/15 12:30, mesude bayrakci wrote:
>> 
>>> Thank you for your response. I saw already that example and some
>>> others too. However, they defined alpha and beta in the examples or
>>> use two different dataset. I did not know alpha and beta values and
>>> have only one data set.  I could calculate alpha and beta by using
>>> variance and means for the data has one peaks.
>>> 
>>> How can I calculate alpha and beta for two peak distributions?
>>> 
>> 
>> 
>> Given your level of obtuseness I think that the advancement of science
>> would be best served if you were not encouraged to pursue this line of
>> endeavour any further.
>> 
>> Be that as it may:  *NO*, "they" did not define alpha and beta in the
>> example (singular).  They *simulated* a data set using known values of
>> alpha and beta, and then fitted a beta mixture model to the simulated data,
>> obtaining fitted values of the alphas and betas that were satisfyingly
>> close to the "true" values from which the data were simulated.
>> 
>> 
>> cheers,
>> 
>> Rolf Turner
>> 
>> --
>> Technical Editor ANZJS
>> Department of Statistics
>> University of Auckland
>> Phone: +64-9-373-7599 ext. 88276
>> 
> 
> 	[[alternative HTML version deleted]]
> 
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David Winsemius
Alameda, CA, USA