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05/11/2021
R for Sport Scientists – Fundamentals Course: Subsetting
By Mladen Jovanovic on 05/11/2021In this lecture, I will explain to you how subsetting works, how you can replace (i.e., assign) parts of the object, remove parts, append objects, order, and filter. These operations are one of the most important ones in any analysis that you might perform later.
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27/10/2021
R for Sport Scientists – Fundamentals Course: Vectors
By Mladen Jovanovic on 27/10/2021In this lecture, I will provide you with a must-needed knowledge of understanding the R objects with special attention to the vectors.
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11/10/2021
R for Sport Scientists – Fundamentals Course: Installation
By Mladen Jovanovic on 11/10/2021In this lecture, I will show you how to install R and R Studio. In addition to these, I will explain how to install packages both from CRAN and Github repositories.
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01/10/2021
R for Sport Scientists – Fundamentals Course: Introduction
By Mladen Jovanovic on 01/10/2021In this lecture, I will go over a course outline, explain why you need to learn R, how to learn it, and where to find more information once this course is done.
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29/09/2021
R for Sport Scientists – Fundamentals Course
By Mladen Jovanovic on 29/09/2021This course will give you the essential knowledge that will allow you to start coding in R and embrace the R journey much more quickly. So, grab a coffee, and let’s do this first step of the thousand miles journey together!
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18/01/2021
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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30/07/2020
Force-Velocity Profiling and Training Optimization Course
By Mladen Jovanovic on 30/07/2020Are you interested in force-velocity profiling but don't know where to start, nor you have the tools to perform the analysis? Look no further - this course will help you learn the necessary skill and provide the needed tools.
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13/01/2020
Extending the Classical Test Theory with Circular Performance Model
By Mladen Jovanovic on 13/01/2020In this video, I will go more into these details and also provide an extension of this model, which I termed Circular Performance Model (CPM). CPM, in my opinion, better represent performance phenomenology we experience as coaches and athletes.
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24/01/2019
Statistical 101: Gender Salary Gap
By Mladen Jovanovic on 24/01/2019With this short article I wanted to showcase how easy is to jump to conclusions with simplistic statistical analysis using fake salary data. It is important to recognize that statistical analysis involve a lot of subjective decisions and cannot be claimed to be purely objective, but it is still way better than ignorance or ideology.
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17/12/2018
Predicting Non-contact Hamstring Injuries by Using Training Load Data and Machine Learning Models
By Mladen Jovanovic on 17/12/2018Research has shown that there is an association between training load and likelihood of suffering non-contact injuries. But can we predict the injury? In this paper I have tried to predict non-contact hamstring injury by using two seasons day-to-day training load data.