sim_entity: A procedure to simulate entities

In diverse: Diversity Measures for Complex Systems

Description

Simulates an entity with values of abundance for some categories.

Usage

sim_entity(n_categ, category_prefix = "", values = "log-normal",
  size = -1, mean = 0, sd = 1)

Arguments

n_categ	number of categories
category_prefix	a prefix to be used as part of the category label
values	values of abundance. This argument can be both, a distribution name or a vector of integers. The distribution is used to simulate individuals that are aggregated in frequencies or values of abundance. In the second case, an integer or a vector of integers of possible values of abundance to be used randomly. Default value is 'log-normal'
size	number of individuals. Default value is 7 times n_categ.
mean	parameter for normal or log-normal distribution. Default value is 0.
sd	parameter for normal or log-normal distribution. Default value is 1.

Value

A data frame with two columns: category and value of abundance.

Examples

sim_entity(n_categ=50,  category_prefix='ctg', values=1) #equal value
#random numbers for values of abundance
sim_entity(n_categ=50,  category_prefix='ctg', values=sample(1:100, replace=TRUE))
sim_entity(n_categ=50,  category_prefix='ctg', values='log-normal') #equal value

diverse documentation built on May 2, 2019, 2:10 a.m.