Density, distribution function, quantile function and random generation for the kappa distribution with shape and scale parameters equal to shape and scale, respectively.
logical; if TRUE, probabilities p are given as log(p).
lower.tail
logical; if TRUE (default), probabilities are P[X <= x],otherwise, P[X > x].
Details
If X is a random variable distributed according to a kappa distribution, it has density
f(x) = shape/scale*(shape+(x/scale)^shape)^(-(shape+1)/shape)
Value
dkappa gives the density, pkappa gives the distribution function, qkappa gives the quantile function, and rkappa generates random deviates.
Examples
x <- rkappa(1000,12,10)
hist(x,freq=FALSE,col='gray',border='white')
curve(dkappa(x,12,10),add=TRUE,col='red4',lwd=2)
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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Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(FAdist)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/FAdist/KAPPA.Rd_%03d_medium.png", width=480, height=480)
> ### Name: KAPPA
> ### Title: Kappa Distribution
> ### Aliases: dkappa pkappa qkappa rkappa
> ### Keywords: distribution
>
> ### ** Examples
>
> x <- rkappa(1000,12,10)
> hist(x,freq=FALSE,col='gray',border='white')
> curve(dkappa(x,12,10),add=TRUE,col='red4',lwd=2)
>
>
>
>
>
> dev.off()
null device
1
>