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:
- 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.
The GAUSS interface includes a number of often overlooked hotkeys and shortcuts. These features can help make programming more efficient and navigation seamless. In this blog I highlight my top five GAUSS hotkeys:
- Quickly view data symbols using
- Open floating command reference pages using
- Toggle block comments on and off using
- Go to procedure definitions using
- Delete lines using
Autocomplete is becoming a common feature in the tools we use in all aspects of our lives, because of it’s ability to help us to type more accurately and quickly. When programming in GAUSS, the autocomplete can also show you new functions you were not aware of. Today we will discuss how to use and control autocomplete features of the GAUSS editor and command window.