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: [EMAIL PROTECTED] >> Bhagavad Gita: Man is made by his Belief, as He believes, so He is >> >> >> >> copula <[EMAIL PROTECTED]> >> Sent by: [EMAIL PROTECTED] >> 07/17/2007 12:53 PM >> >> To >> r-help@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@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@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@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. ______________________________________________ R-help@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.
