bal.stat: Calculate weighted balance statistics
In twang: Toolkit for Weighting and Analysis of Nonequivalent Groups

Description Usage Arguments Details Value See Also

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

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

`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)
`sampw`	sampling weights. These are passed in addition to `w.all` because the "unweighted" results shoud be adjusted for sample weights (though not propensity score weights).
`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"
`estimand`	either "ATT" or "ATE"
`multinom`	`TRUE` if used for multinomial propensity scores.
`fillNAs`	If `TRUE`, fills in zeros for missing values.