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,
...
)An object of class `RHRVEasyResult` containing the HRV indices (slot `$HRVIndices`) and the statistical analysis results (slot `$stats`)
A character vector with the paths to the folders containing the HRV files. Each folder should contain the HRV files of a group.
The method to correct for multiple comparisons. Can be one of "bonferroni", "holm", "hochberg", "hommel", "BH", "BY", "fdr" and "none". Default is "bonferroni".
Logical. If TRUE, the function will show a progress bar and print additional information to the console.
The format of the HRV files. Can be one of "WFDB", "Ascii", "RR", "Polar", "Suunto", "EDFPlus" and "Ambit".
The type of frequency analysis to perform. Can be one of "fourier" or "wavelet".
The significance level to use in the statistical analysis. By default, it is set to 0.05.
Logical. If TRUE, the function will compute non-linear indices. It should be noted that this process is computationally expensive.
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.
The number of parallel jobs to use. `nJobs <= 0` uses all cores available. By default, it is set to 1.
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.