r_lnorm: Generate Log Normal Distributed Values

In rando: Context Aware Random Numbers

Description

Generates a set of Log Normal distributed values.

Usage

r_lnorm(
  mean_log = 0,
  sd_log = 1,
  ...,
  n = default_n(mean_log, sd_log),
  .seed = NULL
)

Arguments

mean_log	vector of means (on the log scale)
sd_log	vector of standard deviations (on the log scale), strictly positive
...	Unused
n	number of observations to generate. The default_n() function will provide a default value within context
.seed	One of the following: NULL (default) will not change the current seed. This is the usual case for generating random numbers. A numeric value. This will be used to set the seed before generating the random numbers. This seed will be stored with the results. TRUE. A random seed value will be generated and set as the seed before the results are generated. Again, this will be stored with the results. To extract the random seed from a previously generated set of values, use pull_seed()

Value

A numeric vector of length n

Examples

set_n(5)

r_lnorm(10)

r_lnorm(10, 2)

r_lnorm(1:10)

r_lnorm(-2, n = 10)

rando documentation built on Feb. 16, 2021, 5:07 p.m.