Posts tagged with ‘R’

  • 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,…

  • Non-responders: are they really?

    By Mladen Jovanovic on 09/04/2015

    Latest obsession of the researches is individual variation in training responses. The motivation behind this approach (known and emphasized in theory of training as individualization principle) is the creation of personalized medicine or personalized training.

    Unfortunately, sometimes we see these individual differences (in treatment reaction), although they are artefacts of within-individual typical variation/error of measurement and regression to the mean.