[amelia] Time series, error 33, and lags

Hi, I'm using a dataset with a country-year format and I have reason to believe that there are trends within countries. So I assume I should set ts=1 and cs=2 (for columns 1 and 2 respectively, correct? Is there also a way to indicate which variables in particular need to be controlled by tscs considerations? Some of my vars should be trendlines, and some not. Also it is unclear to me from the information on lags produced by help(amelia), "lags: a vector of numbers or names indicating columns in the data that should have their lags included in the imputation model," whether, in lags=x, s should be the un-lagged variable that I want lagged or the lagged variable I created myself. I assume Amelia cannot create a lagged variable for me, giving me an extra column in the output? + idvars=which(names(merge22)==c("year","ccode")), + lgstc=c(8,9,33,40), ords=c(10,37,38,39,45,47,48), + ts=which(names(merge22)=="year"), + cs=which(names(merge22)=="ccode"),polytime=2,intercs=TRUE) amelia starting Amelia Error Code: 33 The time series and cross sectional variables cannot be transformed. Finally, I get the error code 33 above but I'm not sure what I'm doing wrong and a perusal of the help archives "error code 33" didn't produce much. Any assistance from the seasoned Amelia-users on this list is much appreciated! Thanks, Anders - Amelia mailing list served by Harvard-MIT Data Center [Un]Subscribe/View Archive: http://lists.gking.harvard.edu/?info=amelia