I've been attempting to work with Amelia to multiply overimpute values for a specific variable that have been measured with error. I know which observations were measured with error (they all have a value in a particular range) but I cannot use moPrep to properly prepare the data for overimputation. I want to use the "subset" and "gold.standard" arguments, but depending on how I write these, some error is always returned.

I cannot find a simple example of sample code that uses this means of prepping the data, rather than specifying the error proportion or sd (which I don't have/know). Can you either point me to an example, or suggest a simple line of code, using the following setup:

dataframe= data

variable with error: A

subset with error: where A<5

Thanks for any help or guidance you can give. All the best,

Sean