## How to Create a Simple Table with sprintf in GAUSS

Learn how to create a simple output table with variable names, parameter estimates and standard errors using sprintf in GAUSS.

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.

You’re probably familiar with the basic find-and-replace. However, large projects with many files across several directories, require a more powerful search tool. The GAUSS Source Browser is the powerful search-and-replace tool you need. In this blog, you’ll learn more about using the advanced search-and-replace tools in GAUSS to effectively navigate and edit in projects with multiple files and directories.

The aggregate function, first available in GAUSS version 20, computes statistics within data groups. This is particularly useful for panel data. In today’s blog, we take a closer look at aggregate.

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 [...]

Introduction GAUSS packages provide access to powerful tools for performing data analysis. This guide covers all you need to know to get the most from GAUSS packages including: What is a GAUSS package Where to find GAUSS packages What is included in GAUSS packages How to use GAUSS packages What is a GAUSS package? A [...]

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 operators

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Introduction The posterior probability distribution is the heart of Bayesian statistics and a fundamental tool for Bayesian parameter estimation. Naturally, how to infer and build these distributions is a widely examined topic, the scope of which cannot fit in one blog. We can, however, start to build a better understanding of sampling by examining three [...]

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 [...]

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