Data for: Detection of respiratory rate using a classifier of waves in the signal from a FBG-based vital signs sensor

We provide scripts of the R computational environment to perform calculations, the results of which are contained in the manuscript, as well as records of execution of these scripts in HTML format generated using the R markdown tools.
Required R environment packages:
stats,
psych,
ggplot2,
MASS,
doParallel
caret,
randomForest,
nnet,
knitr,
hexbin,
rgl,
RColorBrewer.
Description of the most important files:
ArtAlgModelsCompare.R – performs calculation of truth table and other performance indicators of models for various training methods (indicators are computed according to cross validation scheme),
FinalClassifPerf.R - computes final classifier response truth table and other performance indicators for test data,
RespAlgVerif.R – generates Bland-Altman and scratter plots for respiratory rate detection algorithm for test data, computes RMSE for detection algorithm,
runRFE.R – performs recursive features elimination (RFE) procedure,
exploreRFEresults.R – explore results of RFE,
ArtAlgRandomize.R – analogue of ArtAlgModelsCompare.R but for randomized features, computes performance indicators on randomized data for over-fit assessment,
trainDataHist.R – plots distributions (histogram) of training and test respiratory rates.
An exemplary results of the execution of above described scripts are contained in following files:
ArtAlgModelsCompare.html,
FinalClassifPerf.html,
RespAlgVerif.html,
exploreRFEresults.html,
ArtAlgRandomize.html,
trainDataHist.html.
The remaining files contain functions used by the scripts that perform calculations and data necessary to perform these calculations.