Read, Iteratively Filter, and Analyze Multiple ECG Datasets R package tidyrhrv version 1.1.0 Allows users to quickly load multiple patients' electrocardiographic (ECG) data at once and conduct relevant time analysis of heart rate variability (HRV) without manual edits from a physician or data cleaning specialist. The package provides the unique ability to iteratively filter, plot, and store time analysis results in a data frame while writing plots to a predefined folder. This streamlines the workflow for HRV analysis across multiple datasets. Methods are based on Rodríguez-Liñares et al. (2011) <doi:10.1016/j.cmpb.2010.05.012>. Examples of applications using this package include Kwon et al. (2022) <doi:10.1007/s10286-022-00865-2> and Lawrence et al. (2023) <doi:10.1016/j.autneu.2022.103056>. Software Imports: dplyr, tidyr, RHRV, purrr, magrittr, pracma, tibble, stats, grDevices Suggests: testthat (>= 3.0.0), ggplot2, vroom, readr Steven Lawrence <stevenlawrence.r@gmail.com> Comprehensive R Archive Network (CRAN) Steven Lawrence [aut, cre] (ORCID: <https://orcid.org/0000-0002-7595-8323>) MIT + file LICENSE (https://CRAN.R-project.org/package=tidyrhrv/LICENSE) 2025-07-29 application/tgz https://CRAN.R-project.org/package=tidyrhrv doi:10.32614/CRAN.package.tidyrhrv