Workbook: Change Point Analysis of HRV Data

Mladen Jovanović August 2, 2015

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I have already wrote about time-series analysis in EXCEL (HERE and HERE ) using Andrew Flatt HRV data. What I will try to do in this post is to use something that is called Change Point Analysis or CPA. This could be used with any type of time-series data, like training load, wellness and readiness monitoring and so forth.

I haven’t found much instructions online nor in books on CPA, but I have used this article to play with Andrew Flatt data. When it comes to time-series analysis there is great chapter in Data Smart book by John Foreman, which is a must read book for anyone willing to explore data analysis. There are also a free booklet (which I haven’t read yet) on time-series analysis in R here and Introductory Time Series with R book that could be worth checking.

Anyway, without going into intricate and unnecessary details of CPA, the simple goal for sport scientist using CPA is to detect changes in time-series data.

Let’s get rolling. First I will load HRV data from CSV file and load neccessary packages:

Categories: Non-Membership Content

Tagged: Monitoring, Performance Analysis, R, Statistics

Mladen Jovanović

Mladen Jovanovic is a physical preparation coach from Belgrade, Serbia, grew up in Pula, Croatia (which he considers his home town). He was involved in physical preparation of professional, amateur and recreational athletes of various ages in sports such as basketball, soccer, volleyball, martial arts and tennis. Email | LinkedIn | Twitter | Facebook

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Workbook: Change Point Analysis of HRV Data

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