gfaity/ReachStroke: Stroke reaching's Statistics

This package runs somes statitics on a big dataframe of datas from reaching. GLOBAL DESCRIPTION PANU project : The task is seated reaching from PANU protocol (Proximal Arm Non Use on seated reaching tasks) (Bakhti et al., 2017). Theses tasks are recorded with a 3D motion system. Datas are formatted with MACOKIV6 scilab project into a .sod file : Session is a struct (SEE MACOKIV6 SCILAB README). From this .sod file, MACOKIANALYSIS scilab project compute parameters like range of angles of interest, hand velocity mean etc. (SEE MACOKIANALYSIS SCILAB README) and export them into a .csv file (1 session = 1 file). All this .csv result files are compiled into 1 big dataframe of data (all session of all patients in 1 string matrix). REACHSTROKE-addons (Main.R) get this big dataframe and use REACHSTROKE package to run statistics analysis. PRESENTATION: This package runs some statitics on a big dataframe of datas from seated reaching tasks. It runs several conditions (contened in Flag$Analysis) like 1) Validity of a motion capture system : comparison of 2 motion capture systems, 2) Reliability of a motion capture system : comparaison R1 VS R2, 3) Analysis of Seated reaching : comparaison healthy VS stroke (paretic or loaded). Main function is LaunchAnalysis.R (called by Main.R).

Getting started

Package details

AuthorGermain FAITY
MaintainerGermain FAITY <[email protected]>
LicenseGPL-2
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("gfaity/ReachStroke")
gfaity/ReachStroke documentation built on May 26, 2019, 10:34 a.m.