Learn how to create a simple output table with variable names, parameter estimates and standard errors using sprintf in GAUSS.
Optional input arguments can make your statistical computing more efficient and enjoyable. GAUSS version 20 added a new suite of tools to make it easy for you to add optional input arguments to your GAUSS procedures. This blog lays the foundation to start using optional arguments in your GAUSS programs.
The latest Time Series MT (TSMT) 3.1.0 is now available for release. If you own TSMT 3.0 the update is available for free.
The GAUSS Package Manager, first introduced in version 20, allows you to download, install and uninstall GAUSS packages without leaving GAUSS. It supports the paid GAUSS Application Modules, free GAUSS packages and even allows you to create custom packages and channels. This post will guide you through the basics needed to install and uninstall GAUSS packages.
This blog introduces the latest additions to GAUSS. Read it today to learn all about the newest GAUSS features for data analysis, now available in GAUSS 20.
Intro Often times we need to mix multiple graph types in order to create a plot which most effectively tells the story of our data. In this post, we will create a plot of the Phillips Curve in the United States over two separate time periods. We will show how to add scatter points and [...]
This seventh video in the GAUSS Basics series will show you how to use the if, else, elseif and endif keywords to create code with conditional statements. The video will demonstrate several examples and show a few common errors you might run into. Previous: GAUSS Basics 6: Logical and relational operatorsTagged in
Introduction Whether you are new to GAUSS, or have been around for a while, today's blog will have something for you. We'll answer the questions: What is the current working directory in GAUSS? How can I find my working directory? How can I change my working directory? Then we'll show you how some common GAUSS [...]
Learn how to use the logical and relational operators in GAUSS. These operators include: and, not, or, xor, less-than, less-than or equal, greater-than, greater-than or equal, equal You will also see these operators used to select specific rows of a matrix with logical indexing. Next: GAUSS Basics 7: Conditional statements Previous: GAUSS Basics 5: Element-by-element [...]Tagged in
Learn how the GAUSS element-by-element conformability rules help you to create code which is compact, elegant and fast! Applies to functions as well as matrices and vectors. Avoids the need for loops in many cases. Important concepts to help you get the most from GAUSS. Next: GAUSS Basics 6: Logical and relational operators Previous: GAUSS [...]Tagged in