Usage
ps.summary(x, t, w, get.means = TRUE, get.ks = TRUE,
na.action = c("level", "exclude", "lowest")[1],
collapse.by.var = FALSE,
estimand, multinom)
ps.summary.f(x, t, w, get.means = TRUE, get.ks = TRUE,
na.action = c("level", "exclude", "lowest")[1],
collapse.by.var = TRUE,
estimand, multinom)
ps.summary.n(x, t, w, get.means = TRUE, get.ks = TRUE,
na.action = c("level", "exclude", "lowest")[1],
collapse.by.var = FALSE,
estimand, multinom)Arguments
x
a vector containing the data for a single covariate
t
a vector of the same length as x with the 0/1 treatment
assigniments
w
a vector of the same length as x with the weights
get.means
if TRUE, mean comparisons are computed
get.ks
if TRUE, the KS statistics are computed
na.action
a string indicating the method for handling missing data
collapse.by.var
if TRUE, then statistics computed for factors
are collapsed across the levels
estimand
either "ATT" or "ATE"
multinom
TRUE if used in for in call from mnps