Statistics with R Commander
Data analysis can be performed with assurance, self-reliance, and the advantages of open-source tools.
Do you have data but don’t know where to start?
Are you unsure which statistical test to choose or how to interpret a regression model?
Would you like to analyze your results without relying on expensive proprietary software?
At InTeO we train occupational therapists, healthcare professionals, and researchers to analyze, interpret, and confidently present their data using R and R Commander, a free, reproducible, and internationally recognized statistical environment that aligns with current standards in scientific research.
What will you gain from these courses?
Analyze your own data independently
Choose the appropriate statistical method for your study design
Correctly interpret statistical results
Write the statistical methods and results sections of a scientific paper
Work with reproducible, up-to-date analytical tools
Eliminate the need for costly software licenses
Why do we work with R and Open-Source Software?
At InTeO, we are we are committed to open science, reproducible research, and equitable access to scientific knowledge. .You can read our published letter on this topic through the link. below.
We work with R, a programming language and statistical computing environment originally developed by Robert Gentleman and Ross Ihaka at the University of Auckland. Today, R is one of the international standards for statistical analysis and scientific research.
For those new to R, we begin with R Commander, an intuitive graphical user interface that allows users to perform statistical analyses through a visual environment while benefiting from the full power and flexibility of R.
If you currently use software such as SAS, SPSS, Stata, or Systat, why not switch to R? Consider the following advantages…
Free
Whether you are a student, educator, or researcher, using R comes with clear financial and practical advantages.
Cross-Platform
R runs on multiple operating systems, including Windows, macOS, and Unix/Linux.
Flexible Programming
R provides a powerful environment for developing and implementing new statistical methods with ease.
Advanced Statistical Methods
It includes cutting-edge statistical techniques that are often unavailable in other statistical software packages.
High-Quality Graphics
Create publication-ready data visualizations using state-of-the-art graphical tools.
Our Training Courses
Quantitative data analysis with R Commander
Level: Beginner – Intermediate
Format: 100% online (Self-paced)
Includes: One-to-one tutoring
Objective
To equip participants with the skills to create, manage, and analyze datasets using univariate and bivariate statistical methods applied to Occupational Therapy and Health Sciences research.
Course Content
- Installing R and R Commander
- Creating and structuring datasets
- Data management (recoding, computing, and grouping variables)
- Univariate and bivariate descriptive analyses
- Selecting and applying appropriate statistical tests
- Data visualization with ggplot2
- Interpretation and reporting of statistical results
Who is this course for?
- Master’s and PhD students
- Healthcare professionals starting research projects
- Clinicians who want to analyze their own data
Regression Models with R Commander
Level: Intermediate – Advanced
Format: 100% online (Self-paced)
Includes: One-to-one tutoring
Objective
To provide participants with the knowledge and skills required to perform multivariable statistical analyses using regression models commonly applied in health sciences research.
Course Content
- Selecting the appropriate regression model based on study design and outcome variable
- Multiple linear regression
- Logistic regression
- Poisson regression with robust variance
- Cox proportional hazards regression
- Confounding and interaction
- Advanced interpretation and scientific reporting of regression analyses
Who is this course for?
- Researchers with previous experience in basic statistical analysis
- PhD students
- Healthcare professionals working with observational or clinical data
Tailored Training for Institutions
We design customized training programmes for clinical teams, universities, and healthcare organizations, adapting the content to the professional profile and specific needs of each institution.
Our courses have already been delivered in both academic and healthcare settings, including collaborations with the Official College of Physicians of Alicante, the Department of Gastroenterology at Dr. Balmis General University Hospital and multiple official training programmes at Miguel Hernández University of Elche.
✔ Training delivered through collaboration agreements with Miguel Hernández University of Elche
✔ Eligible for funding through FUNDAE (Spanish Foundation for Training in Employment)
✔ Flexible content, practical case studies, and scheduling tailored to your institution
