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Biostatistics and data analysis with R (BIOS101i)

General Information

Code: BIOS101i

Instructor: Kian Jenab (Ph.D. candidate)

Organized by: ICOIA (International Community of Iranian Academics)

Objective: Statistical data analysis using R

Requirements:

  • Laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) with administrative privileges
  • Access to Wifi
  • R and Rstudio installed (instructions below)
  • Excel or any text editor installed (e.g. TextWrangler, Notepad, BBEdit, etc.)

Watch here

Contact: icoia.onlineschool@gmail.com

To ask questions about the course, communicate with the instructor and get informed about other free training courses, become a member of the ICOIA Online School Telegram Group.

Audience

This course is suitable for:

  • Levels: Beginner & Intermediate
  • Fields: Biology, Medicine, Agriculture & Natural Resources
  • Language: Farsi

This course covers the following material:

  • Introduction to R
  • Descriptive statistics
  • t-test
  • ANOVA
  • Non-parametric tests
  • Bivariate analysis
  • Multivariate analysis
  • Data visualization

Setup

To participate in this Workshop, please install the following software, complete the R courses for beginners, and let us know if you need any help before attending.

Install R and RStudio

R is a free and open-source programming language that is particularly powerful for data exploration, visualization, and statistical analysis. We use RStudio to interact with R.

Windows

Please download R for Windows from CRAN to install R, and also install the RStudio IDE. If you have separate user and admin accounts, please run the installers as an administrator by right-clicking on the .exe file and selecting "Run as administrator" instead of double-clicking. Otherwise, problems may arise later when installing R packages.

Video Tutorial

Mac OS X

Please download R for macOS from CRAN to install R, and also install the RStudio IDE.

Video Tutorial

Linux (Debian, Fedora/Redhat, Ubuntu)

Please download the binary files for your distribution from CRAN to install R, or use a package manager (e.g. run sudo apt-get install r-base for Debian/Ubuntu and run sudo yum install R for Fedora/Redhat). Additionally, please install the RStudio IDE.

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Statistical data analysis using R (BIOS101i)

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