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Athlete Monitoring: Data Analysis and Visualization – Aggregating data in Excel
By Mladen Jovanovic on 19/02/2021Athlete Monitoring: Data Analysis and Visualization Aggregating data in Excel We are going to use R and R-Studio thorough the rest of this course (as well as a little bit of Microsoft Excel), so in this lecture, I will show you how to install them on your computer. About Mladen Jovanovic Mladen Jovanovic is a physical preparation coach from...
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Athlete Monitoring: Data Analysis and Visualization – Module 3
By Mladen Jovanovic on 19/02/2021We are going to use R and R-Studio thorough the rest of this course (as well as little bit of Microsoft Excel), so in this lecture I will show you how to install them on you computer.
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Conceptualizing Philosophy in Strength & Conditioning: The Barbell Strategy and Risk
By Adriano Arguedas Soley on 14/02/2021In this article, Adriano outlines Taleb’s Barbell Strategy for Risk in Financial Investment and details how high-performance sport programs may benefit from categorizing the risk potential of individual training elements to safeguard sustainability and promote aggressive growth.
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Athlete Monitoring: Data Analysis and Visualization – Comparing Individual to the Group
By Mladen Jovanovic on 09/02/2021When we have multiple individuals sharing the same context we can check what is happening to the group but more importantly to check how is a given individual differing from a group.
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bmbstats – Bootstrap Magnitude-Based Statistics for Sports Scientists
By Mladen Jovanovic on 03/02/2021The aim of this book is to provide an overview of the three classes of tasks in statistical modeling: description, prediction, and causal inference.
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Sports Vacancies in February 2021
By Mihailo Tomic on 01/02/2021Here are the best sports jobs in the market. During February, we will continuously update the list. Please share, and let’s get the word out!
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Athlete Monitoring: Data Analysis and Visualization – Normalizing Individuals
By Mladen Jovanovic on 27/01/2021In this lecture I will explain the few techniques that can be used to make the comparison more “fair”, particularly for the purpose of figuring out the change in individual monitoring.
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Athlete Monitoring: Data Analysis and Visualization – Nominal Rolling Functions
By Mladen Jovanovic on 22/01/2021In this lecture, I continue with the solution to the problem of dealing with nominal variables using rolling functions. The presented solution is to use dummy coding and aggregating session using means, which gives us rolling proportions.
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Mladenverse: Collection of R Packages
By Mladen Jovanovic on 18/01/20212020 was a tough year for many. I took the lockdown as an opportunity to finish some old projects, start new ones, and learn new skills.
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Athlete Monitoring: Data Analysis and Visualization – Rolling Functions
By Mladen Jovanovic on 15/01/2021Rolling functions are useful in describing trends over time. These can be any type of descriptive functions, like means, medians, standard deviations, and so forth.