Posts tagged with ‘Statistics’

  • How to Adjust Generic %1RM Table for Higher Reps With Lower Body Lifts?

    By Mladen Jovanovic on 07/09/2014

    It is common to believe (I guess Charles Poliquin wrote first about it, or at least I’ve read it from him first) that as one’s strength improves (e.g. from 100kg to 200kg 1RM) numbers of reps that could be performed at certain %1RM drops over time (e.g. beginner can lift 75% for 10 reps, while advanced lifter might do...

  • What Are Biomotor Abilities?

    By Mladen Jovanovic on 01/07/2014

    What Are Biomotor Abilities? Do you know what are biomotor abilities? How did they ’emerge’? The purpose of this video is to explain you the ontology of biomotor abilities, the certain flaws of their use (The Root problem, buckets, periodization based on those qualities) and also provide statistical analysis in RStudio with simulated data using Factor Analysis and Hierarchical...

  • Stats Playbook: What is Anscombe’s Quartet and why is it important?

    By Mladen Jovanovic on 27/05/2014

    Stats Playbook: What is Anscombe’s Quartet and why is it important?   The following paragraph is take from Wikipedia “Anscombe’s quartet comprises four datasets that have nearly identical simple statistical properties, yet appear very different when graphed. Each dataset consists of eleven (x,y) points. They were constructed in 1973 by the statistician Francis Anscombe to demonstrate both the importance...

  • Playbook: Exploring decathlon competition data. Part 2

    By Mladen Jovanovic on 18/05/2014

    Playbook: Exploring Decathlon Competition Data Click HERE to read part 1   Clustering What we might be interested next is similarities between athletes, or in other words, which athletes have similar profiles. For that purpose we can use Hierarchical Clustering and Principal Component Analysis (PCA) which we are going to cover later HCWard <- hclust(d = dist(decathlon.normal),...

  • Playbook: Exploring decathlon competition data [Part 1]

    By Mladen Jovanovic on 17/05/2014

    Playbook: Exploring Decathlon Competition Data Data set Decathlon data set comes from FactoMineR package and represents two competitions: Decastar and Olympic Games. For this example we will explore only Olympic Games competition, so we need to subset the data. # Load the needed packages library(FactoMineR) library(ggplot2) library(reshape2) suppressPackageStartupMessages(library(googleVis)) # Load the decathlon data data(decathlon) # Subset the...

  • Will Hopkins – A New View of Statistics [FREE PDF]

    By Mladen Jovanovic on 15/05/2014

    I believe that printing it out is a lot easier to read than reading on website, I asked professor Will Hopkins a permission to share it on Complementary Training. He have agreed to share it.

  • How to Analyze Movement Screen Tests? [Addendum]

    By Mladen Jovanovic on 28/04/2014

    How to Analyze Movement Screen Tests? Continuing on the previous post I had an idea to make further analysis. Please note that this is only a playbook. The idea is to transpose the data, and instead of clustering the athletes, we cluster the metrics or tests. What we are looking for is to find tests/metrics that are similar...

  • How to Analyze Movement Screen Tests?

    By Mladen Jovanovic on 28/04/2014

    How to Analyze Movement Screen Tests? In the recent post I shared the movement screen we designed and implemented. The question now is how to analyze the data and make real life decisions on it? What do we need to get from the analysis in the first place? In my (current) opinion we need these: Identify groups of athletes...

  • Coach Statistics

    How to (Pretend to) Be a Better Coach Using Bad Statistics

    By Mladen Jovanovic on 25/03/2014

    How to (Pretend to) Be a Better Coach Using Bad Statistics Here is a simple scenario from practice: Coach A uses YOYOIRL1 test and Coach B uses 30-15IFT (for more info see paper by Martin Buchheit, which also stimulated me to write this blog) to gauge improvements in endurance. Coach A: We have improved distance covered in YOYOIRL1 test...

  • Analysis of Metabolic Power data

    Analysis of Metabolic Power Data Using Power-Duration Profile in Team Sports

    By Mladen Jovanovic on 06/03/2014

    This is the idea I got from the Training and Racing with a Powermeter book by Hunter Allen and Andrew Coggan. It is an excellent and must read book on cycling, but also great book about endurance training in general…