ssd_rburrIII3 {ssdtools}

Random Number Generation

Description

Random Number Generation

Usage

ssd_rburrIII3(n, shape1 = 1, shape2 = 1, scale = 1, chk = TRUE)

ssd_rgamma(n, shape = 1, scale = 1, chk = TRUE)

ssd_rgompertz(n, location = 1, shape = 1, chk = TRUE)

rgompertz(n, llocation = 0, lshape = 0)

ssd_rinvpareto(n, shape = 3, scale = 1, chk = TRUE)

ssd_rlgumbel(n, locationlog = 0, scalelog = 1, chk = TRUE)

rlgumbel(n, locationlog = 0, scalelog = 1)

ssd_rllogis_llogis(
  n,
  locationlog1 = 0,
  scalelog1 = 1,
  locationlog2 = 1,
  scalelog2 = 1,
  pmix = 0.5,
  chk = TRUE
)

ssd_rllogis(n, locationlog = 0, scalelog = 1, chk = TRUE)

ssd_rlnorm_lnorm(
  n,
  meanlog1 = 0,
  sdlog1 = 1,
  meanlog2 = 1,
  sdlog2 = 1,
  pmix = 0.5,
  chk = TRUE
)

ssd_rlnorm(n, meanlog = 0, sdlog = 1, chk = TRUE)

ssd_rweibull(n, shape = 1, scale = 1, chk = TRUE)

Arguments

n

number of observations.

shape1

shape1 parameter.

shape2

shape2 parameter.

scale

scale parameter.

chk

A flag specifying whether to check the arguments.

shape

A string of the column in data for the shape aesthetic.

location

location parameter.

llocation

location parameter on the log scale.

lshape

shape parameter on the log scale.

locationlog

location on log scale parameter.

scalelog

scale on log scale parameter.

locationlog1

locationlog1 parameter.

scalelog1

scalelog1 parameter.

locationlog2

locationlog2 parameter.

scalelog2

scalelog2 parameter.

pmix

Proportion mixture parameter.

meanlog1

mean on log scale parameter.

sdlog1

standard deviation on log scale parameter.

meanlog2

mean on log scale parameter.

sdlog2

standard deviation on log scale parameter.

meanlog

mean on log scale parameter.

sdlog

standard deviation on log scale parameter.

Functions

• ssd_rburrIII3(): Random Generation for BurrIII Distribution

• ssd_rgamma(): Random Generation for Gamma Distribution

• ssd_rgompertz(): Random Generation for Gompertz Distribution

• rgompertz(): Random Generation for Gompertz Distribution

• ssd_rinvpareto(): Random Generation for Inverse Pareto Distribution

• ssd_rlgumbel(): Random Generation for log-Gumbel Distribution

• rlgumbel(): Random Generation for log-Gumbel Distribution

• ssd_rllogis_llogis(): Random Generation for Log-Logistic/Log-Logistic Mixture Distribution

• ssd_rllogis(): Random Generation for Log-Logistic Distribution

• ssd_rlnorm_lnorm(): Random Generation for Log-Normal/Log-Normal Mixture Distribution

• ssd_rlnorm(): Random Generation for Log-Normal Distribution

• ssd_rweibull(): Random Generation for Weibull Distribution

See Also

ssd_p and ssd_q

Examples

set.seed(50)
hist(ssd_rburrIII3(10000), breaks = 1000)

set.seed(50)
hist(ssd_rgamma(10000), breaks = 1000)

set.seed(50)
hist(ssd_rgompertz(10000), breaks = 1000)

set.seed(50)
hist(ssd_rinvpareto(10000), breaks = 1000)

set.seed(50)
hist(ssd_rlgumbel(10000), breaks = 1000)

set.seed(50)
hist(ssd_rllogis_llogis(10000), breaks = 1000)

set.seed(50)
hist(ssd_rllogis(10000), breaks = 1000)

set.seed(50)
hist(ssd_rlnorm_lnorm(10000), breaks = 1000)

set.seed(50)
hist(ssd_rlnorm(10000), breaks = 1000)

set.seed(50)
hist(ssd_rweibull(10000), breaks = 1000)