couplr (version 1.0.10)

check_variable_health: Check variable health for matching

Description

Analyzes variables for common problems that can affect matching quality: constant columns, high missingness, extreme skewness, and outliers.

Usage

check_variable_health(
  left,
  right,
  vars,
  high_missingness_threshold = 0.5,
  low_variance_threshold = 1e-06
)

Value

A list with class "variable_health" containing:

• summary: Tibble with per-variable diagnostics

• issues: List of detected issues with severity levels

• exclude_vars: Variables that should be excluded

• warnings: Human-readable warnings

Arguments

left

Data frame of left units

right

Data frame of right units

vars

Character vector of variable names to check

high_missingness_threshold

Threshold for high missingness warning (default: 0.5)

low_variance_threshold

Threshold for nearly-constant variables (default: 1e-6)