bal.stat {twang}R Documentation

Calculate weighted balance statistics

Description

bal.stat compares the treatment and control subjects by means, standard deviations, effect size, and KS statistics

Usage

bal.stat(data, 
         vars = NULL, 
         treat.var, 
         w.all, 
         get.means = TRUE,
         get.ks = TRUE, 
         na.action = "level")

Arguments

data a data frame containing the data
vars a vector of character strings with the names of the variables on which the function will assess the balance
treat.var the name of the treatment variable
w.all observation weights (e.g. propensity score weights, sampling weights, or both)
get.means logical. If TRUE then bal.stat will compute means and variances
get.ks logical. If TRUE then bal.stat will compute KS statistics
na.action a character string indicating how bal.stat should handle missing values. Current options are "level", "exclude", or "lowest"

Details

bal.stat calls ps.summary.f and ps.summary.n for each variable and assembles the results in a table

Value

See ps.summary for details on the returned object. get.means and get.ks manipulate the inclusion of certain columns in the returned result.

See Also

The example for ps contains an example of the use of bal.table


[Package twang version 1.0-1 Index]