Goodness-of-fit test for exponential distribution

Description

Bartlett's goodness-of-fit test for exponential distribution

Usage

   gofExp.test(x)

Arguments

Value

A list with elements

Author(s)

Yves Deville

References

See

Yagouti A., Abi-Zeid I., Ouarda, T.B.M.J. and B. Bobée (2001), Revue de processus ponctuels et synthèse de tests statistiques pour le choix d'un type de processus Revue des Sciences de l'Eau, 1, pp. 323-361.

See Also

Among other goodness-of-fit tests ks.test in the stats package. See expplot for a graphical diagnostic.

Examples

 ## a sample of size 30
 x <- rexp(30)
 res <- gofExp.test(x)

 ## ns samples: p.values should look as uniform on (0, 1)
 ns <- 100
 xmat <- matrix(rexp(30*ns), nrow = ns, ncol = 30)
 p.values <- apply(xmat, 1, function(x) gofExp.test(x)$p.value)
 plot(sort(p.values), type = "p", pch = 16)
 

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> library(Renext)
Loading required package: evd
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/Renext/gofExp.test.Rd_%03d_medium.png", width=480, height=480)
> ### Name: gofExp.test
> ### Title: Goodness-of-fit test for exponential distribution
> ### Aliases: gofExp.test
> 
> ### ** Examples
> 
>  ## a sample of size 30
>  x <- rexp(30)
>  res <- gofExp.test(x)
> 
>  ## ns samples: p.values should look as uniform on (0, 1)
>  ns <- 100
>  xmat <- matrix(rexp(30*ns), nrow = ns, ncol = 30)
>  p.values <- apply(xmat, 1, function(x) gofExp.test(x)$p.value)
>  plot(sort(p.values), type = "p", pch = 16)
>  
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>