Run a full HRV analysis including indices computation and statistical analysis
RHRVEasy( folders, correctionMethod = c("bonferroni", "holm", "hochberg", "hommel", "BH", "BY", "fdr", "none"), verbose = FALSE, format = "RR", typeAnalysis = c("fourier", "wavelet"), significance = 0.05, nonLinear = FALSE, doRQA = FALSE, nJobs = 1, saveHRVIndicesInPath = NULL, ... )
folders: A character vector with the paths to the folders containing the HRV files. Each folder should contain the HRV files of a group.correctionMethod: The method to correct for multiple comparisons. Can be one of "bonferroni", "holm", "hochberg", "hommel", "BH", "BY", "fdr" and "none". Default is "bonferroni".verbose: Logical. If TRUE, the function will show a progress bar and print additional information to the console.format: The format of the HRV files. Can be one of "WFDB", "Ascii", "RR", "Polar", "Suunto", "EDFPlus" and "Ambit".typeAnalysis: The type of frequency analysis to perform. Can be one of "fourier" or "wavelet".significance: The significance level to use in the statistical analysis. By default, it is set to 0.05.nonLinear: Logical. If TRUE, the function will compute non-linear indices. It should be noted that this process is computationally expensive.doRQA: Logical. If TRUE, the function will compute Recurrence Quantification Analysis (RQA) indices. This parameter is ignored if nonLinear is set to FALSE.It should be noted that this process is computationally expensive.nJobs: The number of parallel jobs to use. nJobs <= 0 uses all cores available. By default, it is set to 1.saveHRVIndicesInPath: The path where the HRV indices will be saved as an excel file. If NULL, the indices will not be saved. See [SaveHRVIndices()] for more details....: Additional arguments for the HRV analysis. For further details, see the RHRV package.An object of class RHRVEasyResult containing the HRV indices (slot $HRVIndices) and the statistical analysis results (slot $stats)