Category: Best Practices

How to mix, match and style different graph types

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 lines as well as data series’ of different lengths to a single plot. However, our main focus will be showing you how to control the styling of all aspects of the plot in these cases.

Using GAUSS Packages [Complete Guide]

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

Top five hotkeys to get more done in GAUSS

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:
  1. Quickly view data symbols using Ctrl+E.
  2. Open floating command reference pages using Shift+F1.
  3. Toggle block comments on and off using Ctrl+/.
  4. Go to procedure definitions using Ctrl+F1.
  5. Delete lines using Ctrl+L.
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Make your code portable: Data paths

In this blog, we explore data path best practices for making GAUSS code more portable and replicable. Using variables and predefined GAUSS path definitions, we show how to simplify code and easily customize data loading.
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