[R] Mixed Beta Disrubutions

[mesude bayrakci]

Hello all,

This would be my last comments on "politeness" discussion started after my
email, and do not want to keep the forum busy with this. Please do not
continue writing on this matter to the forum.

First of all, I just started using R for a short period of time, and using
it for a small part of my research, given that I am coming from different
technical background.
1) It is my understanding that the some of experts on this forum are
expecting high quality questions from people who have just started learning
things 2) It seems that Rolf's email has custom "cheer" signature. 3) In my
first email, I thank him for his response and tried to explain him that I
am aware of that example and did not think it would help me and thus asked
second question and did not claim that he would not answer my question, my
second response to Rolf's email was just basically reaction to his first
paragraph. 4) I think Oliver's comment is the most important one among the
points I stated here.

Thank you for your support and suggestions, Oliver. It is greatly
appreciated.

Thank you for your response, Jim.

Best,

Mesude


On Mon, Dec 28, 2015 at 9:58 PM, Jim Lemon <drjimlemon at gmail.com> wrote:

> Hi mesude,
> Achim's example seems particularly clear. Install the "betareg" and
> "flexmix" packages. I obtain a reasonable looking result for alpha and beta
> for a simulated dataset very similar to yours.
>
> > a
>     Comp.1     Comp.2
> 10.0674445  0.6452801
> > b
>   Comp.1   Comp.2
> 2.830934 0.769768
>
> Jim
>
>
> On Tue, Dec 29, 2015 at 6:40 AM, mesude bayrakci <mesudebayrakci at gmail.com
> > wrote:
>
>> Hello,
>>
>> I have data; one column and 310 rows. When I plot the histogram, it has
>> two
>> peaks; please see the attachment. I would like to find appropriate
>> distribution that fits the data. I tried to mixtools in R, but it did not
>> fit well.
>>
>> I want to mix two beta distribution. I found that there is betareg package
>> in R but the shape1,shape2 were known or there were two different data in
>> the all examples.
>>
>> I do not know where to start. How can I use betamix in R to fit the data?
>> Any hint?
>>
>> I really appreciate.
>>
>>
>> Thank you
>>
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>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>

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