GAUSS Data
Tool is a stand-alone program for working with GAUSS data sets.
GAUSS Data Tool loads the columns of the data sets into a workspace
as vectors where they can be transformed or modified using simple
intuitive statements. Data sets can also be created by simulation
using a variety of models, e.g., probit, logit, GARCH, linear.
A new version of a data set can be generated where missing data
are replaced by single or multiple imputations from a maximum
likelihood estimation using the EM algorithm.
Variables can be copied from one data set to another. Data sets
can be merged on the basis of a keylist; i.e., one or more columns
that uniquely define the observations. They can be concatenated,
sorted, or added to. Variables can be dropped or kept, or modified
in complex ways using any of the GAUSS operators or functions,
including its powerful matrix operations.
GAUSS Data Tool is customizable by adding your own functions
for modifying data. Hooks are described in the manual for adding
your own procedures for simulating data or handling missing
data. For the Windows version, a graphical user interface provides
much of this capability in menus, toolbars, and dialogues, as
well as a command line interface that turns data handling into
a set of simple direct statements that make short work of complex
data problems.
Newly Added Features
- ASCII
and Excel file conversions
Features
- Handle
missing data
- Create
and simulate data sets
- Create
new variables
- Delete
observations
- Drop
variables
- Keep
variables and drop all others
- Execute
GAUSS commands unfiltered
- List
data sets
- List
variable names and types
- Merge
data sets on a key variable
- Select
observations
- Sort
data set
- Compute
statistics on data set
- Simulate
using various models, e.g., probit, logit, GARCH, linear
- Impute
missing data using EM algorithm
Platforms
Available for Windows now, with LINUX and Solaris (Sun SPARC)
following soon. |
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