search for: myscale1

...ull=TRUE) allmis <- imputationList(lapply(files.allmisets, read.csv)) scale1_vars <- c("var1", "var2", "var3", ... "var20") scale2_vars <- c("var21", "var22", "var23", ... "var34") allmis <- update(allmis, myscale1 = rowMeans(allmis[scale1_vars], na.rm=TRUE)) allmis <- update(allmis, myscale2 = rowMeans(allmis[scale2_vars], na.rm=TRUE)) Any help with this or general pointers about how to manage scale construction across multiple data sets much appreciated. Don [[alternative HTML version deleted]]