GAUSS packages provide access to powerful tools for performing data analysis. Learn how to install the GAUSS Package Manager, and get the quickest access to the full suite of GAUSS packages, in this short video. Additional Resources GAUSS Package Manager Using GAUSS Packages a Complete Guide
There is no getting around the fact that data wrangling, cleaning, and exploring plays an important role in any empirical research. Data management can be time-consuming, error-prone, and can make or break results. GAUSS 22 is built to take the pain out of dealing with your data and to let you move seamlessly towards tackling your important research questions. In today’s blog, we walk through how to efficiently prepare and explore real-world data before modeling or estimation. We’ll look at:
- Loading and merging data.
- Cleaning data to eliminate misentries, missing values, and more.
- Exploring data.
Categorical variables offer an important opportunity to capture qualitative effects in statistical modeling. Unfortunately, it can be tedious and cumbersome to manage categorical variables in statistical software. The new GAUSS category type, introduced in GAUSS 21, makes it easy and intuitive to work with categorical data. In today’s blog we use real-life housing data to explore the numerous advantages of the GAUSS category type including:Tagged in
- Easy set up and viewing of categorical data.
- Simple renaming of category labels.
- Easy changing of the reference base case and reordering of categories.
- Single-line frequency plots and tables.
- Internal creation of dummy variables for regressions.
- Proper labeling of categories in regression output.
In today’s blog, we look at how to save time and reduce errors using GAUSS’s new data management tools. Using the quarterly real GDP dataset from the FRED database we explore GAUSS’s new data management tools. In particular, we examine how to:
- Deal with irregular dataset headers.
- Change variable names.
- Filter dates and change the date display.
Learn how to create reusable graphics profiles with a few clicks of your mouse.
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 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.
Today we cover what the GAUSS working directory is and how to make the most of it. We’ll show you how some common GAUSS functions use your working directory and some of the errors you’re most likely to run into.
GAUSS includes a plethora of tools for creating publication-quality graphics. Unfortunately, many people fail to use these tools to their full potential. Today we unlock five advanced GAUSS hacks for building beautiful graphics:
- Using HSL, and Colorbrewer color palettes.
- Controlling graph exports.
- Changing the plot canvas size.
- Annotating graphs with shapes, text boxes, and lines.
- Using LaTeX for GAUSS legends, labels and text boxes.
This blog explores how to use publicly available GAUSS code in your own GAUSS projects. This video will guide you through:
- Opening your code in the Project Folders Window.
- Running the code.
- The Applications Installer.
- Setting your working directory.
- Error G0290 Library not found.
- Error G0014 File not found.
- Viewing workspace variables.