Systolic and diastolic blood pressure percentiles by age and gender in Northeastern Iran

Tayefi, Maryam; Shabani, Niloofar; Saberi‐Karimian, Maryam; Oladi, Mohammadreza; Mouhebati, Mohsen; Farjami, Zahra; Hoseini, Zeinab Sadat; Mohammadi-Bajgyran, Maryam; Mahmoudi, Alireza; Doustabad, Marzieh Eidi; Ferns, Gordon A.; Esmaily, Habibollah; Ghayour‐Mobarhan, Majid

doi:10.1016/j.jash.2018.11.003

Cited by 9 publications

(1 citation statement)

References 11 publications

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“…This is not possible with point and click software solutions, such as Excel or SPSS statistical software. Second, while SAS and SPSS statistical software are commonly used for analyses of blood pressure datasets, R is also gaining popularity as evidenced by its use in multiple studies involving blood pressure data [5][6][7][8][9]. This trend in using R for BP data sets is consistent with R being one of the most popular and heavily utilized data analysis platforms [10,11], with [12] providing detailed guidelines and comparison of functionality for SAS and SPSS software users who wish to use R. Third, being free and opensource, R has an incredibly rich set of data analysis and graphics tools, with over 5,000 add-on packages available in addition to its base functionality.…”

Section: Introductionmentioning

confidence: 99%

bp: Blood pressure analysis in R

Schwenck

Punjabi²,

Gaynanova³

2022

PLoS ONE

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Despite the world-wide prevalence of hypertension, there is a lack in open-source software for analyzing blood pressure data. The R package bp fills this gap by providing functionality for blood pressure data processing, visualization, and feature extraction. In addition to the comprehensive functionality, the package includes six sample data sets covering continuous arterial pressure data (AP), home blood pressure monitoring data (HBPM) and ambulatory blood pressure monitoring data (ABPM), making it easier for researchers to get started. The R package bp is publicly available on CRAN and at https://github.com/johnschwenck/bp.

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