sample2pop: corrects sample counts to population counts in a square...

In diffeR: Metrics of Difference for Comparing Pairs of Maps or Pairs of Variables

corrects sample counts to population counts in a square contingency table

Description

Converts sample count to population count in the square contingency table, assuming a stratified random sampling

Usage

sample2pop(ctmatrix, population)

Arguments

ctmatrix	matrix representing a sampling-derived square contingency table between a comparison variable (rows) and a reference variable (columns)
population	an n x 2 matrix provided to correct the sample count to population count in the square contingency table. See Details below

Details

The first column of population must contain integer identifiers of each category, corresponding to the categories in the comparison and reference variables. The second column corresponds to the population totals for each category.

Value

matrix representing a population-adjusted square contingency table for the crosstabulation between a comparison variable (rows) and a reference variable (columns). Output values are given in the same units as ctmatrix

See Also

crosstabm

Examples

comp <- rast(system.file("external/comparison.rst", package = "diffeR"))
ref <- rast(system.file("external/reference.rst", package = "diffeR"))

# Sample square contingency table
(ctmatCompRef <- crosstabm(comp, ref))

# Population-adjusted square contingency table
(population <- matrix(c(1, 2, 3, 2000, 4000, 6000), ncol = 2))
sample2pop(ctmatCompRef, population = population)

# The square contingency table can also be adjusted directly using the 
# crosstabm function
crosstabm(comp, ref, population = population)

diffeR documentation built on Aug. 22, 2023, 9:11 a.m.