genpopUniform: Generate populations

In BalancedSampling: Balanced and Spatially Balanced Sampling

Generate populations

Description

Generate uniform and poisson cluster process populations

If from and to is used with genpopPoisson together with mirror, the population will be bounded within these values. For the genpopUniform, these numbers represent the minimum and maximum values of the uniform distribution.

Usage

genpopUniform(size, dims = 2L, from = 0, to = 1)

genpopPoisson(
  parents,
  children,
  dims = 2L,
  from = 0,
  to = 1,
  distribution = function(n) rnorm(n, 0, 0.02),
  mirror = TRUE
)

Arguments

size	The size of the population
dims	The number of auxiliary variables
from	A number or a vector of size dims with the minimum values
to	A number or a vector of size dims with the maximum values
parents	The number of parent locations
children	A number or a vector of size parents with the mean number of children to be spawned.
distribution	A function taking a number as a variable, returning the offset from the parent location.
mirror	If TRUE, the population is mirrored to be inside from and to.

Functions

• genpopPoisson(): Poisson cluster process

Examples

## Not run: 
set.seed(12345);
x = genpopUniform(120, 2L);
N = nrow(x);
n = 60;
prob = rep(n / N, N);
s = lpm2(prob, x);
b = sb(prob, x, s);

## End(Not run)

## Not run: 
set.seed(12345);
x = genpopPoisson(70, 50, 2L);
N = nrow(x);
n = 60;
prob = rep(n / N, N);
s = lpm2(prob, x);
b = sb(prob, x, s);

## End(Not run)

BalancedSampling documentation built on April 11, 2025, 6 p.m.