wrote:

Dear professors, I am a Phd student at the University of Paris VIII and I am working on financial issue in a panel data. I've come to use the multiple imputation for my missing data and I've been very interested in your method. Since I was working with R, I installed your Amelia II Package which has perfectly worked for my case. However, when I started to look closely to the values imputated I realised that the method has replaced the missing values with negative ones which in my case was non significant and non relevant. Beside the negative issue, I have some problem with variable ranging between 0 and 1. Indeed, I have a variable wich representes a percentage but when imputated, the missing values exceed the number 1 which is wierd. Could you have the kindness to enlighten me of a possible solution to these two problems, knowing that by adding in the command ( ords ="X5", p2s = 0), the negative value ​​disappear and the imputed data for X5 are numeric a.out<- amelia(Mydata, m = 5, ts = "year", cs = "id", ords ="X5", p2s = 0). This constraint (ords ="X5", p2s = 0) in the command is correct!! Thank you in advance for your answer. Best regards Mouna kessentini -- Amelia mailing list served by HUIT [Un]Subscribe/View Archive: http://lists.gking.harvard.edu/?info=amelia More info about Amelia: http://gking.harvard.edu/amelia Amelia mailing list Amelia(a)lists.gking.harvard.edu To unsubscribe from this list or get other information: https://lists.gking.harvard.edu/mailman/listinfo/amelia