Author: aptech

Diagnosing a singular matrix

Introduction G0121: Matrix not positive definite and G0048: Matrix singular are common errors encountered during estimation. Today we will run some code to compute OLS estimates, using real data from some golf shots hit by this author and recorded by a launch monitor. The data Our dataset, golf_ballflight.csv, contains 46 observations with the following variables: [...]

Graph high frequency Forex data

Introduction Last week we learned how to use the date keyword to load dates into GAUSS. Today, we will plot some high-frequency Forex data. The data Today's dataset (usdcad_tick.csv) contains tick data for a little over 30,000 observations of the bid price for the USD/CAD currency pair from January 2, 2018. This file has two [...]

What you need to know about #include

Introduction If you have run much publicly available GAUSS code, you have probably come across the #include command. Since it is used so much, it will be helpful to answer these questions: What does #include do? What is the most common error when using #include? How can I resolve the most common error? What does [...]
Tagged in ,

Make your code portable: Data paths

Introduction Most GAUSS users keep their code and data from different projects in separate directories. This is a good practice since it helps keep your work organized. However, since it is your code and your computer, it can seem like the path of least resistance is to add full path references to any data that [...]
Tagged in ,

Controlling the GAUSS Autocomplete Behavior

Introduction 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 [...]
Tagged in , ,

Repeating simulations from older versions of GAUSS

Introduction Starting in GAUSS version 12, a new suite of random number generators was introduced. GAUSS now contains several options of high quality and high-performance random number generators (RNG), such as: The Mersenne-Twister (MT-19937, SFMT-19937 and MT-2208). Pierre L'ECuyer's MRG32K3a. Niederreiter and Sobol quasi-random number generators. GAUSS version 11 and older used a linear congruential [...]

Have a Specific Question?

Get a real answer from a real person

Need Support?

Get help from our friendly experts.

REQUEST A FREE QUOTE

Thank you for your interest in the GAUSS family of products.

© Aptech Systems, Inc. All rights reserved.

Privacy Policy | Sitemap