Hi All, I can't get why the analyzes below, performed in Stata / R, do not produce the same result. Please provide your suggestions for the explanation for these differences. Thanks, Martine PS (how) can I display the actual cutpoints in Stata (imb)? -- STATA . import delimited "G:\Recidive\Projecten\Verkeer\Algemeen\Artikel effectiviteit ASP tijdens\Data\Data voor R.csv", clear (8 vars, 8,627 obs) . imb d_sekse lftbegrec d_addinfo_ind_best lftinsz1 vgalgexuz vgverkexuz vgrijoiuz, treatment (treat) (using the scott break method for L1 distance) Multivariate L1 distance: .68243298 Univariate imbalance: L1 mean min 25% 50% 75% max d_sekse .01557 -.01557 0 0 0 0 0 lftbegrec .0687 -1.5626 0 -1 -2 -1 -5 d_addinfo_ind_best .00497 -.00497 0 0 0 0 0 lftinsz1 .08852 .91045 0 1 1 2 -12 vgalgexuz .14912 -1.2611 0 0 -1 -1 78 vgverkexuz .09852 -.41727 0 0 0 -1 4 vgrijoiuz .11859 -.36406 0 0 0 0 -4 --R "G:\\Recidive\\Projecten\\Verkeer\\Algemeen\\Artikel effectiviteit ASP tijdens\\Data\\Data voor R.csv") "VGALGEXUZ", "VGVERKEXUZ", "VGRIJOIUZ") Multivariate Imbalance Measure: L1=0.665 Percentage of local common support: LCS=11.2% Univariate Imbalance Measures: statistic type L1 min 25% 50% 75% max D_SEKSE -0.015571508 (diff) 0.015571508 0 0 0 0 0 LFTBEGREC -1.562561051 (diff) 0.025019213 0 -1 -2 -1 -5 D_ADDINFO_IND_BEST -0.004970458 (diff) 0.004970458 0 0 0 0 0 LFTINSZ1 0.910454843 (diff) 0.045867098 0 1 1 2 -12 VGALGEXUZ -1.261056065 (diff) 0.146272471 0 0 -1 -1 78 VGVERKEXUZ -0.417271627 (diff) 0.097957912 0 0 0 -1 4 VGRIJOIUZ -0.364063976 (diff) 0.118028583 0 0 0 0 -4 ------------------------------ Dit bericht kan informatie bevatten die niet voor u is bestemd. Indien u niet de geadresseerde bent of dit bericht abusievelijk aan u is toegezonden, wordt u verzocht dat aan de afzender te melden en het bericht te verwijderen. De Staat aanvaardt geen aansprakelijkheid voor schade, van welke aard ook, die verband houdt met risico's verbonden aan het elektronisch verzenden van berichten. Ministerie van Justitie en Veiligheid This message may contain information that is not intended for you. If you are not the addressee or if this message was sent to you by mistake, you are requested to inform the sender and delete the message. The State accepts no liability for damage of any kind resulting from the risks inherent in the electronic transmission of messages. Ministry of Justice and Security - -- cem Mailing List, served by HUIT Send messages: cem(a)lists.gking.harvard.edu [un]subscribe Options: http://lists.gking.harvard.edu/?info=cem More information on cem: http://gking.harvard.edu/cem Cem mailing list Cem(a)lists.gking.harvard.edu To unsubscribe from this list or get other information: https://lists.gking.harvard.edu/mailman/listinfo/cem