Congratulations, you have discovered a bug in the implementation of function cdfgum. A corrected version of package lmom will be submitted today and should be available on CRAN within a day or two.

Meanwhile, as a workaround define cdfgum in your own workspace, thus:

cdfgum <- function(x,para) exp(-exp(-(x - para[1])/para[2]))



J. R. M. Hosking


Maithili Shiva wrote:
Dera R Helpers,

I am re-posting my query.

Please guide me.

Maithili


--- On Fri, 3/13/09, Maithili Shiva <maithili_sh...@yahoo.com> wrote:

 I am trying to fit the Gumbel distribution to a data. I am
 using lmom package. I am getting problem in Cumulative
 Distribution Function of Gumbel distribution as I am getting
 it as a series of 0's and 1's thereby affecting the
 P P Plot. My R code is as follows.
library(quantreg)
  library(RODBC)
  library(MASS)
  library(actuar)
  library(lmom)
x <-
  
c(986.78,1067.76,1046.47,1034.71,1004.53,1007.89,964.94,1060.24,1188.07,1085.63,988.33,972.71,1177.71,972.48,1203.20,1047.27,1062.95,1113.65,995.97,1093.98)
#Estimating the parameters for GUMBEL distribution N <- length(x) lmom <- samlmu(x); lmom parameters_of_GUMBEL <- pelgum(lmom); parameters_of_GUMBEL # Parameters are xi = 1019.4003 alpha = 59.5327 # _____________________ P - P Plot ________________________ e <- c(1:N) f <- c((e-.5)/N) Fx <- cdfgum(x, para = parameters_of_GUMBEL) g <- sort(Fx) png(filename = "GUMBEL_P-P.png") a <- par('bg'= "#FFFFCC") plot (f,g,bg=a,fg= "#804000",main ="P-P
 Plot", ylab=" Cumulative Distribution
 Function", xlab="i", font.main=2,
 cex.main=1,col="#999966",bty =
 "o",col.main="black",col.axis="black",col.lab
 ="black")
abline(rq(g ~ f, tau = .5),col="red") dev.off() # Fx RETURNS 0 1 1 1 0 0 0 1 1 1 0 0 1 0 1 1 1 1 0 1 and Thus plot is not proper Please guide me as where I am going wrong. With regards Maithili

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