Uploaded July 2026 | Updated September 2026, 3 weeks ago
# First Steps in R: Comparing Two Groups with a Boxplot
Want to compare two groups in **R**? In this beginner-friendly tutorial, you'll learn how to create and customise a **boxplot** to compare two datasets using just a few lines of R code.
Starting with simple example data, you'll discover how to generate side-by-side boxplots, add meaningful **group labels**, customise the **x-axis** and **y-axis**, and create a professional plot title. Boxplots are one of the most widely used statistical graphics for comparing the distribution of numerical data between groups.
## In this tutorial you'll learn how to:
* Create two datasets in R
* Generate side-by-side boxplots
* Compare two experimental groups visually
* Label boxplots using the `names` argument
* Add x-axis and y-axis labels
* Add a descriptive title to your graph
* Produce publication-quality figures in R
This tutorial is ideal for:
* Biomedical Science students
* Biology, Chemistry and Pharmacy students
* Medical students
* Engineering and STEM students
* Researchers and postgraduate students
* Teachers and lecturers
* Anyone learning R programming or statistics
Boxplots are commonly used to compare **control and treatment groups**, laboratory experiments, clinical studies and research data before performing statistical tests such as the **t-test**, **Mann–Whitney U test**, or **ANOVA**.
👍 If you found this tutorial helpful, please **Like**, **Subscribe**, and **Share** it with fellow students and researchers.
## Related tutorials
* R for Beginners
* Creating Your First Boxplot in R
* Summary Statistics and IQR in R
* Finding Outliers Using the IQR Method
* Histograms in R
* Scatter Plots in R
* Introduction to Exploratory Data Analysis (EDA)
#RStats #RProgramming #RForBeginners #Boxplot #DataVisualization #Statistics #EDA #BiomedicalScience #STEM #ResearchMethods #RStudio #DataAnalysis
# First Steps in R: Comparing Two Groups with a Boxplot
Want to compare two groups in **R**? In this beginner-friendly tutorial, you'll learn how to create and customise a **boxplot** to compare two datasets using just a few lines of R code.
Starting with simple example data, you'll discover how to generate side-by-side boxplots, add meaningful **group labels**, customise the **x-axis** and **y-axis**, and create a professional plot title. Boxplots are one of the most widely used statistical graphics for comparing the distribution of numerical data between groups.
## In this tutorial you'll learn how to:
* Create two datasets in R
* Generate side-by-side boxplots
* Compare two experimental groups visually
* Label boxplots using the `names` argument
* Add x-axis and y-axis labels
* Add a descriptive title to your graph
* Produce publication-quality figures in R
This tutorial is ideal for:
* Biomedical Science students
* Biology, Chemistry and Pharmacy students
* Medical students
* Engineering and STEM students
* Researchers and postgraduate students
* Teachers and lecturers
* Anyone learning R programming or statistics
Boxplots are commonly used to compare **control and treatment groups**, laboratory experiments, clinical studies and research data before performing statistical tests such as the **t-test**, **Mann–Whitney U test**, or **ANOVA**.
👍 If you found this tutorial helpful, please **Like**, **Subscribe**, and **Share** it with fellow students and researchers.
## Related tutorials
* R for Beginners
* Creating Your First Boxplot in R
* Summary Statistics and IQR in R
* Finding Outliers Using the IQR Method
* Histograms in R
* Scatter Plots in R
* Introduction to Exploratory Data Analysis (EDA)
#RStats #RProgramming #RForBeginners #Boxplot #DataVisualization #Statistics #EDA #BiomedicalScience #STEM #ResearchMethods #RStudio #DataAnalysis
