Gregor Štiglic
R you ready? Using the R programme for statistical analysis and graphics
Štiglic, Gregor; Watson, Roger; Cilar, Leona
Abstract
© 2019 Wiley Periodicals, Inc. For conducting research, nurses typically use commercial statistical packages. R software is a free, powerful, and flexible alternative, but is less familiar and used less frequently in nursing research. In this paper, we use data from a previous study to demonstrate a few typical steps in exploratory data analysis using R. A step-by-step description of some basic analyses in R is provided here, including examples of specific functions to read and manipulate the data, calculate scores from individual questionnaire items, and prepare a correlation plot and summary table.
Citation
Štiglic, G., Watson, R., & Cilar, L. (in press). R you ready? Using the R programme for statistical analysis and graphics. Research in Nursing and Health, https://doi.org/10.1002/nur.21990
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 1, 2019 |
Online Publication Date | Oct 14, 2019 |
Deposit Date | Oct 8, 2019 |
Publicly Available Date | Oct 15, 2020 |
Journal | Research in Nursing & Health |
Print ISSN | 0160-6891 |
Electronic ISSN | 1098-240X |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1002/nur.21990 |
Keywords | R; Statistics; Data analysis; Graphics; Nursing |
Public URL | https://hull-repository.worktribe.com/output/2833463 |
Additional Information | Received: 2019-07-16; Accepted: 2019-10-01; Published: 2019-10-14 |
Contract Date | Oct 8, 2019 |
Files
Article
(524 Kb)
PDF
Copyright Statement
©2019 University of Hull
You might also like
Is the PhD well for nursing faculty running dry?
(2021)
Journal Article
Vaccination timeliness in preterm infants
(2021)
Thesis
An international e-Delphi study to identify core competencies for Italian cardiac nurses
(2021)
Journal Article
Downloadable Citations
About Repository@Hull
Administrator e-mail: repository@hull.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search