R: Three-Parameter Gamma Distribution (also known as Pearson...
GAMMA3
R Documentation
Three-Parameter Gamma Distribution (also known as Pearson type III distribution)
Description
Density, distribution function, quantile function and random generation for the 3-parameter gamma distribution with shape, scale, and threshold (or shift) parameters equal to shape, scale, and thres, 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 Y is a random variable distributed according to a gamma distribution (with shape and scale parameters), then X = Y+m has a
3-parameter gamma distribution with the same shape and scale parameters, and with threshold (or shift) parameter m.
Value
dgamma3 gives the density, pgamma3 gives the distribution function, qgamma3 gives the quantile function, and rgamma3 generates random deviates.
References
BOBEE, B. and F. ASHKAR (1991). The Gamma Family and Derived Distributions Applied in Hydrology. Water Resources Publications, Littleton, Colo., 217 p.
See Also
dgamma, pgamma, qgamma, rgamma
Examples
thres <- 10
x <- rgamma3(n=10,shape=2,scale=11,thres=thres)
dgamma3(x,2,11,thres)
dgamma(x-thres,2,1/11)
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(FAdist)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/FAdist/GAMMA3.Rd_%03d_medium.png", width=480, height=480)
> ### Name: GAMMA3
> ### Title: Three-Parameter Gamma Distribution (also known as Pearson type
> ### III distribution)
> ### Aliases: dgamma3 pgamma3 qgamma3 rgamma3
> ### Keywords: distribution
>
> ### ** Examples
>
> thres <- 10
> x <- rgamma3(n=10,shape=2,scale=11,thres=thres)
> dgamma3(x,2,11,thres)
[1] 0.031643661 0.031369472 0.025133487 0.018925171 0.030793159 0.021449892
[7] 0.007214274 0.032351289 0.001983546 0.030659618
> dgamma(x-thres,2,1/11)
[1] 0.031643661 0.031369472 0.025133487 0.018925171 0.030793159 0.021449892
[7] 0.007214274 0.032351289 0.001983546 0.030659618
>
>
>
>
>
> dev.off()
null device
1
>