Question about different results for L1 imbalance measure in R and Stata

[Katzi90]

I am trying to replicate a cem matching from Stata in R. As a first step I want to evaluate the imbalance. In R I used the following code:

vars <- c("X1PLTOT", "X1EBRSTOT",  "X1MTHETK2", "X1RTHETK2", "X1DCCSTOT", "X1NRWABL", "female", "latino", "white", "asian", "other", "rural", "ses")
imb <- imbalance(group=cem$elprgm, data = cem[vars])
View(imb$tab)

In Stata I used: global treat elprgm imb X1PLTOT X1EBRSTOT X1MTHETK2 X1RTHETK2 X1DCCSTOT X1NRWABL female latino white asian other rural ses , treatment($treat)

I used the same dataset in R and stata. For my imbalance results mean differences are the same (just once negative and once positive) while the L1 values differ for four of my variables: X1MTHETK2, X1RTHETK2, X1NRWABL, ses

I do not understand why there are differences for these four variables whereas results are similiar for the rest of my variables. Do you have any idea what the problem might be?