Hello, is there an easy way to calculate the mean and standard deviation (Rubins Formula) for Amelia objects? Right now I do the following: * create an "imputed matrix" using the following call a.out <- amelia(merged, m=10, ts= "Year", cs ="GEO") * output the individual imputations using the following: write.amelia(obj=a.out, file.stem = "outdata") * Reading in "outdata1.csv" to "outdata10.csv" as individual dataframes * Using the 10 dataframes as arguments to calculate the statistics Is there any "more straightforward" way that you could suggest to achieve this? With best regards Albrecht -- Albrecht Gradmann, Fellow Ecologic Institute Berlin - Brussels - Vienna - Washington DC Pfalzburger Strasse 43/44 | 10717 Berlin | Germany Tel. +49 (30) 86880-170| Fax +49 (30) 86880-100 http://www.ecologic.eu/ | http://www.ecologic-events.eu/ Ecologic Institute publishes a monthly newsletter. To subscribe, please register at: http://www.ecologic.eu/**subscribe.htm<http://www.ecologic.eu/subscribe.… - - - Ecologic Institut gemeinnuetzige GmbH GF/Director: R. Andreas Kraemer | AG Charlottenburg HRB 57947 | USt/VAT-IdNr. DE811963464 'Ecologic' is a Trade Mark (TM) of Ecologic Institut gemeinnuetzige GmbH, Berlin. - Amelia mailing list served by Harvard-MIT Data Center [Un]Subscribe/View Archive: http://lists.gking.harvard.**edu/?info=amelia<http://lists.gking.harvard… More info about Amelia: http://gking.harvard.edu/**amelia<http://gking.harvard.edu/amelia>