Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Introduction to R01:11

Introduction to R

4.0K
R is a powerful software environment for statistical computing and graphics. Originating as an implementation of the S language, developed at Bell Laboratories, R has evolved into a robust, open-source statistical software favored by statisticians and data scientists worldwide. Its comprehensive suite includes data manipulation, calculation, and graphical display capabilities, making it versatile for data analysis and visualization. Its programming language is at the core of R's...
4.0K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.3K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.3K
Interpreting R Charts01:22

Interpreting R Charts

302
R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
302
Statgraphics01:10

Statgraphics

365
Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
365
Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

772
SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
772
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

14.0K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
14.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Authoritative Parenting Is Associated with Healthier Lifestyle Patterns in University Students.

Healthcare (Basel, Switzerland)·2026
Same author

Mental well-being, occupational stress, and caring behaviours among paediatric and psychiatric nurses in Slovenia.

BMC nursing·2026
Same author

Person-Centered Care in Digital Health Interventions for Chronic Diseases: A Systematic Review.

Healthcare (Basel, Switzerland)·2026
Same author

Development and Evaluation of a Generative AI Chatbot for Database Searching in Systematic Review.

Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing·2026
Same author

Interactive Digital Visualization Counseling for Lifestyle Change in Patients at Risk of Cardiovascular Diseases: Randomized Controlled Trial.

JMIR public health and surveillance·2026
Same author

Adolescents' Mental Well-Being and Social Support: Mixed Methods Study.

International journal of mental health nursing·2025
Same journal

Missed Nursing Care in Neonatal Intensive Care Units for Infants Experiencing or at Risk of Experiencing Substance Withdrawal.

Research in nursing & health·2026
Same journal

The Impact of Stress, Trauma, and Violence on Well-Being and Physical Health.

Research in nursing & health·2026
Same journal

A Comparison of Post-Traumatic Stress and Depressive Symptoms by Suicidal Ideation Among Black Transgender Women.

Research in nursing & health·2026
Same journal

Exploring Prolonged Grief Experiences of Ethnoracial Minoritized Caregivers: An Emic Perspective.

Research in nursing & health·2026
Same journal

The Psychometric Properties of the Caregiver Feeding Style Questionnaire: A Cross-Cultural Validation in Spanish Parents.

Research in nursing & health·2026
Same journal

Feasibility of an Online Resilience Program for Mothers With Adverse Childhood Experiences.

Research in nursing & health·2026
See all related articles

Related Experiment Video

Updated: Jan 5, 2026

A User-friendly and Powerful R Analysis of Large-scale Datasets
10:56

A User-friendly and Powerful R Analysis of Large-scale Datasets

Published on: November 4, 2025

266

R you ready? Using the R programme for statistical analysis and graphics.

Gregor Stiglic1,2, Roger Watson3, Leona Cilar1

  • 1University of Maribor Faculty of Health Sciences, Maribor, Slovenia.

Research in Nursing & Health
|October 16, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces R, a free statistical software, as a powerful alternative for nursing research. It demonstrates basic data analysis steps in R, aiding nurses in adopting this flexible tool for their research.

Keywords:
Rdata analysisgraphicsnursingstatistics

More Related Videos

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
07:50

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

808
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

614

Related Experiment Videos

Last Updated: Jan 5, 2026

A User-friendly and Powerful R Analysis of Large-scale Datasets
10:56

A User-friendly and Powerful R Analysis of Large-scale Datasets

Published on: November 4, 2025

266
Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
07:50

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

808
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

614

Area of Science:

  • Nursing Research
  • Biostatistics
  • Data Science

Background:

  • Nurses commonly use commercial statistical software for research.
  • R software offers a free, powerful, and flexible alternative.
  • R is underutilized in nursing research due to lower familiarity.

Purpose of the Study:

  • To demonstrate exploratory data analysis using R for nursing research.
  • To provide a step-by-step guide for basic statistical analyses in R.
  • To encourage the adoption of R software in the nursing research community.

Main Methods:

  • Utilized data from a prior study for demonstration.
  • Illustrated R functions for data import and manipulation.
  • Showcased R for calculating questionnaire item scores.

Main Results:

  • Successfully demonstrated data reading and manipulation in R.
  • Provided examples for calculating composite scores from questionnaire items.
  • Generated a correlation plot and a summary table using R functions.

Conclusions:

  • R software is a viable and potent tool for nursing research data analysis.
  • The provided guide facilitates the use of R for essential exploratory data analysis tasks.
  • Adopting R can enhance the efficiency and capabilities of nursing research.