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Data analysis resources from the manuscript "Mechanical loading prediction through accelerometry data during walking and running".

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locomotion_GRF_ACC

This repository contains data analysis resources from the manuscript entitled "Mechanical loading prediction through accelerometry data during walking and running".

The manuscript is published in the European Journal of Sport Science. The paper can be accessed through this link.


Manuscript authors:

Lucas Veras, Florêncio Diniz-Sousa, Giorjines Boppre, Ana Resende-Coelho, Edgar Moutinho-Ribeiro, Vítor Devezas, Hugo Santos-Sousa, John Preto, João Paulo Vilas-Boas, Leandro Machado, José Oliveira, Hélder Fonseca


There are four main subdirectories:

  1. code: with data analysis scripts and function definitions;
  2. figures: with code to generate the figures;
  3. manuscript: with files needed to compile the manuscript;
  4. tables: with code to generate the tables.

In the root directory there is also a Makefile to document the dependencies among files.

Also, this project have its dependencies managed through {renv}.

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Data analysis resources from the manuscript "Mechanical loading prediction through accelerometry data during walking and running".

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