README.md

In pyCGM2/rCGM2:

WARNING Package in heavy development.

rCGM2

This R package proposes convenient methods for processing 3D gait dataset

rCGM2 relies on Excel spreadsheets exported from pyCGM2. You can have a look into the folder data/pyCGM2 to find out the structure of the spreadsheet. Briefly, each row respresents a time-normalized gait cycle and columns report either value from frame0 to 100 or events, phase duration and so on.

The ongoing implementation allows to :

• Plot data
• compare data based on basic metrics, like the Mean Absolute Deviation, the Root Mean Square Error ...
• process repeatbility tests based on the Standard Error of measurement

Since R is a statistical-oriented software, further versions of rCGM2 could propose methods integrating basic inferential statistical tests.

Why R is fantastic !

Originaly R was not fantastic at all. The user interface was not intuitive and the programming syntax was difficult to master. That is the past. Thanks to the enthusiast of R users and especially Hadley Wickham, R now benefits from a powerful user interface called Rstudio and packages which could ease your data processing.

rCGM2 precisely leverages packages :

• dplyr
• ggplot2
• tidyR

There are extensive documentation and tutorials on the internet about these packages. For sure, they will accelerate your learning curve and remove any reluctance to R.

installation

Download Rstudio

then type

library(devtools)
install_github("pyCGM2/rCGM2")

pyCGM2/rCGM2 documentation built on July 28, 2020, 2:09 p.m.