24 Sep
2015
24 Sep
'15
11:20 p.m.
Hi Sean,
Sorry for the delay on this. It looks like there was a bug in the handling
of the subset command in moPrep(). In the latest development version, it
should be fixed. You can find that, along with installation instructions
here:
https://github.com/IQSS/Amelia
As an example, you can do the following:
library(Amelia)
data(africa)
mo.out <- moPrep(africa, trade ~ trade, subset = trade > 50)
a.out <- amelia(mo.out, cs = "country")
That should perform the type of subset analysis you were trying to do, at
least in the development version.
Hope that helps!
Cheers,
Matt
~~~~~~~~~~~
Matthew Blackwell
Assistant Professor of Government
Harvard University
url: http://www.mattblackwell.org
On Wed, Sep 9, 2015 at 11:00 AM Sean Kates <sk5350(a)nyu.edu> wrote:
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
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