A R-package for 3D Gait data Processing #23
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dblana
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May 24, 2019
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dblana
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Hi Fabien, I ❤️ R and Rstudio too! One small correction and I'll merge your change. 😃
| Needs Python 2.7 (32 bit version) & Vicon Nexus 2.x | ||
| - [Local Dynamic Stability code (Rosensteins Algorithm)](https://github.com/SjoerdBruijn/LocalDynamicStability) by [Sjoerd Bruijn](https://github.com/SjoerdBruijn) Needs Matlab (any version) | ||
| - [Code to read accelerometry data from a mobile phone via Matlab in realtime](https://github.com/SjoerdBruijn/StreamPhoneData) by [Sjoerd Bruijn](https://github.com/SjoerdBruijn) Needs Matlab (any version) | ||
| - [visualisation and statistical processing of 3D gait data with R](https://github.com/pyCGM2/rCGM2) bu [Fabien Leboeuf](https://github.com/pyCGM2/rCGM2) Needs Rstudio |
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During these last weeks, i read more about making and distributing an R package. So, i heavily clean-up my previous R code and create a package hosted in the pyCGM2 github group called rCGM2.
You will see i updated the code index.
The goal of rCGM2 is to propose convenient methods for visualisation and statistical processing of 3D gait Data.
It s based on excel spreasheets exported from pyCGM2. Have a look at the folder Data/pyCGM2, you will see the structure is rather simple and report time-normalized gait cycle as row. pyCGM2 allows to generate this spreadsheet but users can also make his own scripts ( Matlab, for instance) for generating similar xls file.
In the current package, the pdf documentation only details rCGM2 functions. I have started to improrve it with explanation of basic concepts and obviously examples
Even if i am a python developer, i am also a R enthousiast. The recent work around this language is fantastic and R could draw attention of gait analysts for sure.
I also let me think rCGM2 could be used as a statistical frameworks for 3d gait data processing.
regards
Fabien