Hi

This is not really not a finance related question, ask at best on the 
usual R help list. Looking at ?locales might give you a few hints for 
your problems.

Mat

Le 06. 03. 11 06:11, 이원재 a écrit :
> Hi, R community!
> I am using Window OS in Korean.
> R console shows error messages in Korean whenever there is something wrong.
> Is there any way to see error messages in English?
> Thanks.
> Wonjae
>
> -----Original Message-----
> From: "Christophe Dutang"<[email protected]>
> To: "salmajj"<[email protected]>
> Cc: [email protected]
> Sent: 11-01-20(목) 15:57:39
> Subject: Re: [R-SIG-Finance] Copula and Multivariate distribution
> Hello,
> you can use something like that
> eqf<- function(x, sampleMarg) as.numeric(quantile(sampleMarg, probs=x))
> and apply eqf on each marginal after the copula fit if you want to generate 
> random samples or directly ecdf if you want to compute multivariate 
> distribution function.
> Christophe
> --
> Christophe Dutang
> Ph.D. student at ISFA, Lyon, France
> website: http://dutangc.free.fr
> Le 19 janv. 2011 à 21:50, salmajj a écrit :
>> Hi all,
>> I understand that rmvdc generates random number from mvdc object. But the
>> mvdc object can only be used if we define the marginals! So my question is
>> suppose we don't find any distribution which fit marginals so we use the
>> Canonical Maximum Likelihood method (This approach uses the empirical CDF of
>> each marginal distribution to transform the observations into pseudo
>> observations with uniform margins) SO after finding the copula which fit the
>> dependancy HOW i can generate random number which mimic the data?
>> Hope my question is clear, please if someone have an idea help me!
>> THANKS
>>
>> -- 
>> View this message in context: 
>> http://r.789695.n4.nabble.com/Copula-and-Multivariate-distribution-tp3225448p3225448.html
>> Sent from the Rmetrics mailing list archive at Nabble.com.
>>
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