Posts tagged with ‘R’

  • Smallest Worthwhile Change: Individual vs Group

    By Mladen Jovanovic on 10/11/2018

    Smallest Worthwhile Change: Individual vs Group If you haven’t been living under a rock over past few years, you must be familiar with Will Hopkins work on magnitude-based inferences (MBI). One of the basis behind MBI is defining smallest practically meaningful change, or smallest worthwhile change (SWC). Together with Typical Error (TE) of a test, SWC is very needed...

  • Simple Sensitivity Analysis with R

    By Mladen Jovanovic on 13/09/2018

    A sensitivity analysis is a technique used to determine how different values of an independent variable impact a particular dependent variable under a given set of assumptions. This technique is used within specific boundaries that depend on one or more input variables, such as the effect that changes in interest rates have on bond prices.

  • Data Preparation for Injury Prediction

    By Mladen Jovanovic on 23/08/2018

    I have recently wrote a technical note (actually a video) for Sport Performance and Science Reports journal regarding Data Preparation for Injury Prediction. Both data and R core are available on GitHub repository.

  • Profiling Issues – Mind Your Target Variable

    By Mladen Jovanovic on 30/05/2018

    This is VERY IMPORTANT concept and if you are doing any type of profiling, I urge you to watch this video.

  • Bootstrap Magnitude Based Predictions (BMBP)

    By Mladen Jovanovic on 20/05/2018

    There has been a lot of fuss regarding Magnitude Based Inference (MBI) lately, peaking with the recent article and video by Kristin Sainani. The originators of MBI, Will Hopkins and Alan Batterham, recently posted their commentary of the critiques at sportsci.org. With the video below I wanted to give my opinion, but also provide rationale for “novel” techniques, that...

  • Variable Clustering and Archetypal Analysis

    By Mladen Jovanovic on 08/05/2018

    I believe that the following video and the accompanying R code and data set will be very useful to sport scientists out there and will teach them extremely pragmatic technique in data mining.

  • Fantastic Sport Analytics Papers & Resources

    By Mladen Jovanovic on 03/03/2018

    I have recently stumbled on a few great papers that outline very useful statistical techniques, that are VERY applicable to sport and training analytics. If you are interested in analytics, this is a gold mine.

  • Few Simple Improvements to Monitoring Data Analysis

    By Mladen Jovanovic on 22/02/2018

    Most of us are collecting and analyzing training load data and readiness metrics (i.e. GPS training load, sRPE and wellness). The most common analysis method is to use two rolling averages windows – acute (around 7 days) and chronic (around 28 days) and to calculate their ratio, referred to as ACWR (Acute to Chronic Workload Ratio), or TSB (Training...

  • Why The Concept of Biomotor Abilities is Bullshit

    By Mladen Jovanovic on 23/01/2018

    In my opinion, biomotor abilities are ‘dimension reduction’ of the complex perceptual-motor space. Suppose we perform 500 various tests of performance for at least 5000 athletes.

  • How to Analyze Training Load and Monitoring Data?

    By Mladen Jovanovic on 21/11/2017

    In this video I am explaining two methods to deal with missing values and why you should pay attention to the way you are aggregating data (daily, team averages, body soreness, etc).

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