summ_matches: Computes table of absolute standardized differences

In nearfar: Near-Far Matching

Computes table of absolute standardized differences

Description

Computes absolute standardized differences for both continuous and binary variables. Called by opt_nearfar to summarize results of near-far match.

Usage

summ_matches(dta, iv, covs, match)

Arguments

dta	The name of the data frame on which matching was performed
iv	The name of the instrumental variable, e.g., iv="QOB"
covs	A vector of the names of the covariates to make “near”, e.g., covs=c("age", "sex", "race")
match	A two-column matrix of row indices of paired matches

Value

A table of mean variable values for both the “encouraged” and “discouraged” groups across all variables plus absolute standardized differences for each variable

Author(s)

Joseph Rigdon [e-mail]

See Also

opt_nearfar

Examples

k2 = matches(dta=mtcars, covs=c("cyl", "disp"), sinks=0.2, iv="carb",
     cutpoint=2, imp.var=c("cyl"), tol.var=0.03)
summ_matches(dta=mtcars, iv="carb", covs=c("cyl", "disp"), match=k2)

nearfar documentation built on May 29, 2024, 3:10 a.m.