plotCovariateBalanceOfTopVariables: Plot variables with largest imbalance

In OHDSI/CohortMethod: New-User Cohort Method with Large Scale Propensity and Outcome Models

Plot variables with largest imbalance

Description

Create a plot showing those variables having the largest imbalance before matching, and those variables having the largest imbalance after matching. Requires running computeCovariateBalance first.

Usage

plotCovariateBalanceOfTopVariables(
  balance,
  n = 20,
  maxNameWidth = 100,
  title = NULL,
  fileName = NULL,
  beforeLabel = "before matching",
  afterLabel = "after matching"
)

Arguments

balance	A data frame created by the computeCovariateBalance function.
n	(Maximum) count of covariates to plot.
maxNameWidth	Covariate names longer than this number of characters are truncated to create a nicer plot.
title	Optional: the main title for the plot.
fileName	Name of the file where the plot should be saved, for example 'plot.png'. See the function ggsave in the ggplot2 package for supported file formats.
beforeLabel	Label for identifying data before matching / stratification / trimming.
afterLabel	Label for identifying data after matching / stratification / trimming.

Value

A ggplot object. Use the ggplot2::ggsave function to save to file in a different format.

OHDSI/CohortMethod documentation built on Oct. 9, 2024, 12:50 p.m.