[R] R and Copula

copula meeryana at yahoo.com
Thu Jul 19 09:41:49 CEST 2007


I have installed fast all packages for copula,
I have installed package 'gnml' and the others from the Jim Lindsey's web
site and the other packages like 'repeted' which is necessary for
calculating copula.
 
but when I start with copula it write: 
'gausscop' function is not found. And also 'fitted.gausscop(z)' and
'residuals.gausscop(z)'.

also what I want to say is: when I have installed package 'repeted' from Jim
Lindsey's web site in R project, this what I have received: 
 
"utils:::menuInstallLocal()
updating HTML package descriptions"

what have I to do next to solve this problem and to continue with copula.


Thanks a lot for previous help!


 

  

gyadav wrote:
> 
> 
> hi meeryana,
> 
> may be this time nobnody is responding. but dont worry you will get a lot 
> of help eventually, so always post a copy to the mailing list.
> The reason is there are a lot many newbies, although i am also not so old 
> enough, who have even the simplest questions but are hesitant to ask.
> the objective of the list is to help, and thus feel free to ask, stand and 
> contribute :-) i hope you will understand not today then tomorrow as you 
> will get associated with the mailing list more closely. Personally i have 
> found friends here. Further, never post a mail with a loose subject and 
> secondly try to maintain the thread i.e. reply to the mail which you want 
> to reply(for more details refer to the posting guide) :-) that would 
> really help. 
> 
> Yes now regarding your question :-) 
> 
> Step1 : List of all packages can be found at this link :-)
> http://cran.r-project.org/src/contrib/PACKAGES.html
> Step2: Click on the package you want to install :-) 
> http://cran.r-project.org/src/contrib/Descriptions/copula.html
> Step3: Then download the binary of your Operating system. If windows then 
> download corresponding zip file.
> for copula it is
>  http://cran.r-project.org/bin/windows/contrib/r-release/copula_0.5-3.zip
> save zip file on your system
> Step4 Open your R rpogram
> Step5: Goto Packages -> Install packages from Local Zip file
> Step6: Select your package zip file which you want to install
> Step7: Sit back and relax
> Step8: load the library using library(LibraryName) on R prompt
> 
> There are alternate ways of installing the package directly from R prompt. 
> It didn't worked for me a long time back, so  i always adopt this method.
> Somebody on the list may help you in this regards :-)
> 
> bye and learn
> Join and stand with Open Source and R community
> Cheers and Chiao, Welcome
> -gaurav
> 
> 
> 
> dear Mr. Yadav,
> 
> I want to thank for help, 
> and for that you are only who is willing to help,
> but I have one question:
> because I'm new with R project also, I think I should install a package 
> for copula.
> I have only installed R program.
> How should I install this package? And is it what I have also to do with 
> credit metrics, Value at Risk, matix and the other formulas, I mean 
> install packages.
> 
> I hope that you have a little time for me and my problem, and I hope I'm 
> not disturbing you.
> thank you for all you can do for me 
> 
> and 
> 
> best regards,
> 
> Mirjana
> 
> 
> 
> 
> gyadav wrote:
>> 
>> 
>> hi
>> 
>> see the code below i hope this will make your understanding of copulas 
>> better
>> this code plots two normal distribution and their joint distribution 
>> N[0,2] & N[0,4]
>> 
>> HTH
>> 
>> ######################code################################
>> library("copula")
>> ###################copy in two parts in R#################
>> 
>> ##################PART A##################################
>> ## construct a bivariate distribution whose marginals
>> ## are normal and Normal respectively, coupled
>> ## together via a normal copula
>> op <- par(mfrow = c(2, 2), # 2 x 2 pictures on one plot
>>           pty = "s")       # square plotting region,
>>                            # independent of device size
>> 
>> x <- mvdc(normalCopula(0.75), c("norm", "norm"),
>> list(list(mean = 0, sd =2),list(mean = 0, sd =4)))
>> x.samp <- rmvdc(x, 10000)
>> par(mfrow=c(2,3))
>> hist(x.samp[,1],xlab="Normal")
>> hist(x.samp[,2],xlab="Normal")
>> plot(x.samp[,2],x.samp[,1],pch=21,xlab="Normal",ylab="Normal")
>> 
>> plot(dmvdc(x, x.samp))
>> plot(pmvdc(x, x.samp))
>> 
>> ## At end of plotting, reset to previous settings:
>> 
>> 
>> ###########################PART B#######################
>> par(op)
>> for (i in seq(1:360)){
>> persp(x, dmvdc, xlim = c(-4, 4), ylim=c(0, 1),theta=i)
>> }
>> 
>> 
>> Regards,
>> 
>> Gaurav Yadav
>> +++++++++++
>> Assistant Manager, CCIL, Mumbai (India)
>> Mob: +919821286118 Email: emailtogauravyadav at gmail.com
>> Bhagavad Gita:  Man is made by his Belief, as He believes, so He is
>> 
>> 
>> 
>> copula <meeryana at yahoo.com> 
>> Sent by: r-help-bounces at stat.math.ethz.ch
>> 07/17/2007 12:53 PM
>> 
>> To
>> r-help at stat.math.ethz.ch
>> cc
>> 
>> Subject
>> Re: [R] R and Copula
>> 
>> 
>> 
>> 
>> 
>> 
>> 
>> it would be great when somebody will help me
>> thanks
>> 
>> 
>> copula wrote:
>>> 
>>> hi,
>>> first I want to say that I'm new here, and new with copula and R.
>>> 
>>> That is the reason why I'm writing, if somebody can help me. 
>>> 
>>> I have to make an example of Copula. 
>>> On internet I've found this forum and that copula can calculate with R.
>>> 
>>> Can somebody help me with the thing how can I start and where can read
>>> about these stuffs.
>>> 
>>> Thank to all who can help!
>>> 
>>> 
>>> 
>>> 
>> 
>> -- 
>> View this message in context: 
>> http://www.nabble.com/R-and-Copula-tf4085867.html#a11644534
>> Sent from the R help mailing list archive at Nabble.com.
>> 
>> ______________________________________________
>> R-help at stat.math.ethz.ch mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide 
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>> 
>> 
>> 
>> 
> ============================================================================================
>> DISCLAIMER AND CONFIDENTIALITY CAUTION:\ \ This message and 
> ...{{dropped}}
>> 
>> ______________________________________________
>> R-help at stat.math.ethz.ch mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>> 
>> 
> Quoted from:  http://www.nabble.com/R-and-Copula-tf4085867.html#a11645614
> 
> 
> 
> 
> ============================================================================================
> DISCLAIMER AND CONFIDENTIALITY CAUTION:\ \ This message and ...{{dropped}}
> 
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
> 
> 

-- 
View this message in context: http://www.nabble.com/R-and-Copula-tf4085867.html#a11683844
Sent from the R help mailing list archive at Nabble.com.



More information about the R-help mailing list