Placing graphs next to each other can be a great way to present information and improve data visualization. Today we will learn how to create tiled graphs in GAUSS with the easy-to-use plotLayout procedure.
We will work through two simple examples where you will learn:
How to created tiled layouts which are uniform and layouts with graphs of different sizes.
GAUSS procedures are user-defined functions that allow you to combine a sequence of commands to perform desired tasks. In this blog, you will learn the fundamentals of creating and using procedures 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 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.
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.
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.