25th National and 8th International
Biostatistics Congress
18-20 November 2024, Elite World Hotel Sapanca Convention & Wellness Resort, Sakarya
Course Information
COURSE REGISTRATION FEES | |
Faculty Member / Teaching Assistant | 35 € |
External Participant | 75 € |
Services included in the course fees: VAT, course certificate, one-time tea-coffee and cookie service during the course
Course 1: Introduction to R Programming Language
Course Duration: 3-4 hours
Number of Participants: The course will be held if at least 5 participants register.
Instructor: Dinçer GÖKSÜLÜK, Associate Professor.
Date: November 18, 2024, at 10:00
This course is designed for beginners or those with basic knowledge of the R programming language. Participants will have the opportunity to gain practical knowledge on various topics ranging from basic calculations to data manipulation using R.
Course Content:
- Basic Calculations and Matrix Operators
- Iterative Calculations (for/while loops, apply-type functions)
- Logical Tests (if…elseif…else)
- Functions
- Data Manipulation Techniques
- Basic Descriptive Statistics
Through this course, participants will learn the fundamental building blocks of the R programming language, enabling them to perform statistical analyses and data manipulations. We welcome everyone who wants to make a quick and effective entry into R programming!
Course 2: Developing Packages in R Programming Language
Course Duration: 3-4 hours
Number of Participants: The course will be held if at least 5 participants register.
Instructor: Dinçer GÖKSÜLÜK, Associate Professor.
Date: November 18, 2024, at 15:00
About the Course:
The R programming language is a popular programming language often preferred in data analysis and business analytics solutions. Developing functions and code written in this programming language as an R package will allow both yourself and data analysts (statisticians, data scientists, R users, etc.) in this field to carry out similar workflows quickly and efficiently.
This course will cover the fundamental aspects of creating an R package, focusing on the overall architecture of R packages (DESCRIPTION, NAMESPACE files, etc.), preparation of function help files, testing of functions and codes, sharing the developed package on the GitHub network, and managing new versions. Additionally, the theoretical aspects of what to pay attention to during the submission process of the developed R package to ‘The Comprehensive R Archive Network (CRAN)’ will be discussed.
At the end of this course, participants are expected to have a basic understanding of the development of R packages, the basic structure of an R package, and the management of maintenance/development processes of packages.