README.md

In gfaity/ReachStroke: Stroke reaching's Statistics

ReachStroke

To install this package: devtools::install_git(https://github.com/gfaity/ReachStroke)

This package need to be used with a formatted dataframe (from MacokiV6) a correct script written for this package These are available on github at : https://github.com/gfaity/ReachStroke-AddOns

GLOBAL DESCRIPTION - PANU project Task : seated reaching tasks from PANU protocol (Proximal Arm Non Use - 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 in 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.

AUTHORS Germain FAITY [e-mail] Denis MOTTET [e-mail]

PRESENTATION This package runs some statitics on a big dataframe of datas from seated reaching tasks.

It runs several conditions (contened in Flag$Analysis) 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 : LaunchAnalysis.R (called by Main.R) - Compute variable names from angles and parameters names - For each variable Get name of current variable and other variables of interest 1- if Flag$Analysis = "Validity" Launch PlotVar.R Plot Bland & Altman test Add Shapiro-Wilk Result Plot regression of variable to compare onto variable of reference Add ICC and nonparametric and parametric (if SW ok) statistical result 2- if Flag$Analysis = "Reliability" Launch PlotVar.R 3- if Flag$Analysis = "Loading" Launch PlotDiff.R Plot density of normality Possible to add qqplot of 2 systems to verify normality Plot box plot (non parametric: wilcoxon, parametric: paired t student) Launch PlotCor.R (all variables as function of PANU) Plot regression of variable to compare onto variable of reference

gfaity/ReachStroke documentation built on May 26, 2019, 10:34 a.m.