WEIBULL3: Three-Parameter Weibull Distribution

Description Usage Arguments Details Value See Also Examples

Description

Density, distribution function, quantile function and random generation for the 3-parameter Weibull distribution with shape, scale, and threshold (or shift) parameters equal to shape, scale, and thres, respectively.

Usage

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dweibull3(x,shape,scale=1,thres=0,log=FALSE)
pweibull3(q,shape,scale=1,thres=0,lower.tail=TRUE,log.p=FALSE)
qweibull3(p,shape,scale=1,thres=0,lower.tail=TRUE,log.p=FALSE)
rweibull3(n,shape,scale=1,thres=0)

Arguments

x,q

vector of quantiles.

p

vector of probabilities.

n

number of observations.

shape

shape parameter.

scale

scale parameter.

thres

threshold (or shift) parameter.

log,log.p

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 Weibull distribution (with shape and scale parameters), then X = Y+m has a 3-parameter Weibull distribution with shape and scale parameters corresponding to the shape and scale parameteres of Y, respectively; and threshold parameter m.

Value

dweibull3 gives the density, pweibull3 gives the distribution function, qweibull3 gives the quantile function, and rweibull3 generates random deviates.

See Also

dweibull, pweibull, qweibull, rweibull

Examples

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m <- 100
x <- rweibull3(10,3,1,m)
dweibull3(x,3,1,m)
dweibull(x-m,3,1)

Example output

 [1] 0.9545343 0.9704338 1.1311981 0.5664526 0.4372810 0.6580542 0.6557038
 [8] 1.1171193 0.4816011 0.8984930
 [1] 0.9545343 0.9704338 1.1311981 0.5664526 0.4372810 0.6580542 0.6557038
 [8] 1.1171193 0.4816011 0.8984930

FAdist documentation built on April 17, 2020, 1:24 a.m.