ssd_r: Random Number Generation

In ssdtools: Species Sensitivity Distributions

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)

ssdtools documentation built on Sept. 8, 2023, 5:56 p.m.