Dear Sir, Thanks a lot for your eye-opener reply. I was just thinking of our usual commands like rnorm, runif etc. So I was wondering if there exists something like rwakeby etc. And lastly, I have calculated the parameters using > lmr = lmom.ub(amounts) > parameters_of_Wakeby = parwak(lmr) whereas you have mentioned lmom2par(), Will it create different set of parameters? Actually I am travelling and don't have R installed on the laptop I am carrying with me to verify ther results. Regards Katherine
--- On Mon, 21/1/13, David Winsemius <dwinsem...@comcast.net> wrote: From: David Winsemius <dwinsem...@comcast.net> Subject: Re: [R] lmomco package - Random number generation using Wakeby distribution To: "Katherine Gobin" <katherine_go...@yahoo.com> Cc: r-help@r-project.org Date: Monday, 21 January, 2013, 7:46 PM On Jan 21, 2013, at 10:30 AM, Katherine Gobin wrote: > Dear R forum > >> From the given data, I have estimated the parameters of Wakeby distribution >> using lmomco package as > > library(lmomco) > > (amounts <- read.csv("input_S.csv")$amount) > > # ___________________________________________________________ > > # Wakeby distribution - Parameter estimation > > N = > length(amounts) > lmr = lmom.ub(amounts) > parameters_of_Wakeby = parwak(lmr) It appears you have a) not included the code that produced that output and b) failed to read the Index page for that package help(package="lmomco") help(package="lmomco") ?rlmomco # Random Deviates of a Distribution So on the assumption that you have an object in your workspace named "parameters_of_Wakeby" and it is an lmomco produced object like that returned by lmom2par() I would try: rlmomco(100, parameters_of_Wakeby) > >> parameters_of_Wakeby > > $type > [1] > "wak" > > $para > xi alpha > 1.18813927666405e+04 0.00000000000000e+00 > beta gamma > 0.00000000000000e+00 8.11391042554567e+04 > delta > 9.57554297149062e-01 > > This means the scale parameters are 0. > > However, assuming, all the five parameters of Wakeby distribution (viz. > location parameter m (xi), the scale parameters a, b, and shape parameters g > and d are available. > > Then, how do I generate say 100 random no.s using Wakeby distribution w.r.t. > these > 5 available parameters. > > I couldn't find any information about this in lmomco. Kindly guide if random > no.s can be generated or not and if yes, how it can be done in r. You should have been able to find this with: help.search("random", package="lmomco") -- David Winsemius Alameda, CA, USA [[alternative HTML version deleted]]
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