nose (version 1.0.5)

nose.rr: Classify Sparseness in 2x2 Tables using Risk Ratio

Description

Classifies sparseness in 2x2 categorical tables where one or more cells are zero. The classification uses widely applied summary measures and a continuity correction to determine whether a table exhibits mild, moderate, or severe sparseness.

Usage

nose.rr(nos, cc)

Value

A matrix combining the input counts with an extra column indicating the sparseness classification for each table.

Arguments

nos

A numeric matrix or data.frame with 4 columns representing counts in a 2x2 table: a (top-left), b (top-right), c (bottom-left), d (bottom-right). Each row corresponds to a separate 2x2 table.

cc

Continuity correction factor (numeric, e.g., 0.3)

Examples

# Simple example: one 2x2 table with a zero cell
xx <- matrix(c(0, 3, 2, 5), nrow = 1, byrow = TRUE)
nose.rr(xx, cc = 0.3)

# Multiple tables example: each row is a separate 2x2 table
tables <- matrix(c(
  0, 3, 2, 5,
  2, 0, 1, 4,
  0, 0, 2, 3
), nrow = 3, byrow = TRUE)
nose.rr(tables, cc = 0.3)