[R] Which distribution best fits the data?
jp021 at sjtu.edu.cn
Mon Jun 30 14:05:13 CEST 2008
I agree with Ben . without providing any information of the data, we
cannot make inference on the distribution itself.
actually density estimation is a tough problem( and classical ). Of
there are methods like GMM or some other method based on statistical
however, they make assumptions and only do the approximation.
I hope anyone can explain more on this topic using more R specific
On 2008-6-30, at 下午7:50, Ben Bolker wrote:
> Jenny Barnes <jmb <at> mssl.ucl.ac.uk> writes:
>> Dear R-help community,
>> Does anybody know of a stats function in R that tells you which
>> distribution best fits your data? I have tried look through the
>> but have only found functions that tell you if it's normal or log
>> specifically - I am looking for a function that tells you (given a
>> timeseries) what the distribution is.
>> Any help/advice will be greatly appreciated,
>> All the best,
>> Jenny Barnes
>> jmb <at> mssl.ucl.ac.uk
> The problem is that it's not generally a good
> idea to data-dredge in this way. Your best bet is
> to think about the characteristics of the
> data (discrete or continuous, non-negative or real,
> symmetric or skewed) and try to narrow it down to
> a few distributions -- then you can use fitdistr()
> (from the MASS package) or something similar
> to compare among them.
> If you say a little bit more about what
> you're trying to do with the data you might
> get some more specific advice.
> Ben Bolker
> R-help at r-project.org mailing list
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
Peng Jiang 江鹏 ,Ph.D. Candidate
Antai College of Economics & Management
Department of Mathematics
Shanghai Jiaotong University (Minhang Campus)
800 Dongchuan Road
P. R. China
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