Posts tagged with ‘R’

  • Thoughts on Injury Prediction

    By Mladen Jovanovic on 08/12/2016

    In the following article, I am discussing the famous “J” curve in injury prediction, as well as simulate some data to show how that curve is estimated. I also show the distinction between association and prediction, as well as how to make training decisions based on the different costs of committing false positive and false negative errors.

  • The Dowry Problem

    By Mladen Jovanovic on 18/10/2016

    In this video I am solving the famous dowry problem using the simulation in R. It is interesting to see how we can test the assumptions and heuristic easily with simulations.

  • Individualizing Training Using Clustering Algorithms

    By Mladen Jovanovic on 10/06/2016

    The goal of this blog post is to present simple solution to “grouping” individuals based on their needs, characteristics and/or goals.

  • Masked Relationships and Multicollinearity

    By Mladen Jovanovic on 04/05/2016

    In this video and R workbook I am “playing” with linear regression and I am trying to explain the concept of “controlling” for one variable (this is common in statistics, but I had hard time understanding it until I visualized the problem), masked relationships and multicollinearity.

  • [Playbook] Converting Just Jump to Smart Jump

    By Mladen Jovanovic on 23/04/2016

    Coaches and athletes sometime change measurement/testing equipment. The problem is that the estimates from different equipment might differ (and they usually do). There are couple of soutions to this problem...

  • What Is Propensity Matching and How Can We Improve Validity of Causality Claims?

    By Mladen Jovanovic on 19/03/2016

    Researchers usually try to randomize correctly, but sometimes the effect is not in the treatment, but maybe in the difference between group (pre-treatment) or during the treatment (for example volume of training) which should be similar/same so we can judge the effects of something else of interest (for example novel periodization). The solutions are to involve covariates in the…

  • R Playbook: Injury Prediction using Random Forest

    By Mladen Jovanovic on 02/11/2015

    This is the problem I have been wrestling with for some time and I tried to solve it using Bannister model. I even asked for help on Twitter and couple of data scientists suggested taking a look into “functional data analysis” or creating summary variables and performing regression/classification (which I did here).

  • Workbook: Change Point Analysis of HRV Data

    By Mladen Jovanovic on 02/08/2015

    What is Change Point Analysis and why and how can you use it to help you out to make sense of your monitoring data? Find out more….

  • R Playbook: Introduction to Multilevel/Hierarchical Models

    By Mladen Jovanovic on 09/07/2015

    I wrote about mixed-level models before and I want to expand on it here. I sort-of finished Andrew Gelman’s Data Analysis Using Regression and Multilevel/Hierarchical Models and will continue to play with it. As far as I know Andrew uses the term multilevel models and avoids the terms fixed and random effect. This is a great book to have.

    My…

  • Velocity-Based Training: Signal vs. Noise

    By Mladen Jovanovic on 29/04/2015

    This is a R workbook using my older bench press data, in which I want to discuss Signal vs. Noise of Velocity-Based Training (VBT) measurements. This could be used for future reliability studies. The goal is to compare within-individual variations of velocity over load-velocity relationship (noise) with smallest practical velocity difference (in my opinion difference in velocities across nRM,…

Are you ready? Get it NOW!

Increase more than 700% of Email Subscribers!

Your Information will never be shared with any third party