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As only two commands are required to use
, the program can be
run interactively, or in batch mode as a regular Gauss program (other
Gauss commands can be used at any point if desired). Each command may
also be used with many optional globals and subcommands. A simple
example of the use of the program is as follows:
new; @ initialize Gauss @
library amelia; @ initialize Amelia @
_AMempri=3; @ use ridge prior @
dbuf = amelia("wars"); @ impute and save m=5 imputed datasets @
In this section, we describe this very simple use of
.
- At the start of every program, use new; library amelia;
to initialize Gauss and
.
-
comes with many global variables. Almost all can
usually be left at their default values, in which case you do not
need to do anything special. If you wish to change a default, make
the assignment before the call to amelia. In the example
above, _AMempri=3; instructs the program to use a ridge
prior (see Section 7.1).
- The main procedure, dbuf=amelia("wars");, loads a
Gauss-format file from disk called wars.dat (in which
missing data are coded according to the Gauss missing data code,
``.''), creates 5 completed data sets, and saves them under the
names wars1.dat,...,wars5.dat in the same
directory as wars. (
will save data in different
formats based on global _AMtype; To learn how to get data
into Gauss format, see Section 6.2.) In addition to the
files on disk, the procedure outputs dbuf, which contains
all necessary information to create further imputed datasets, to
perform diagnostics on the algorithm used, and to replicate the
imputation analysis. dbuf is a Gauss data buffer, a single
entity that can be saved from Gauss in one file, but which can
include many different strings, vectors, or matrices (see the Gauss
command vput in the Gauss manual for more information).
After running
, it is a good idea to save dbuf on
disk (with a Gauss command such as save dbuf;).
Next: Data Input and Output
Up: Program Overview
Previous: Amelia for Windows
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Gary King
2003-07-25