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Understanding R Function Scoping and Closures

Justin Flett

R is a widely used programming language for statistical computing. This course will teach you the fundamentals of understanding and creating your own custom functions, as well as function scoping and closures within R.

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R is a widely used programming language for statistical computing. This course will teach you the fundamentals of understanding and creating your own custom functions, as well as function scoping and closures within R.

R is a widely used programming language for statistical computing. In this course, Understanding R Function Scoping and Closures, you will learn foundational knowledge of creating your own custom functions within R as well as working with function scoping and closures. First, you will learn the basics of using and creating simple functions. Next, you will learn how to work with function returns and triggers and you will learn how to pass various data structures as arguments to a function. Finally, you will explore function closures and scoping within R. When you are finished with this course, you will have the skills of R functions needed to create your very own custom functions.

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What's inside

Syllabus

Course Overview
Understanding Functions in R
Working with Function Returns and Triggers
Understanding Function Scoping and Closures
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Working with Function Scoping and Closures

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides foundational knowledge of creating custom functions in R, including function scoping and closures
Suitable for beginners seeking an introduction to R functions
Covers essential concepts of function returns, triggers, and passing data structures as arguments
Provides a solid basis for understanding function scoping and closures within R
Instructor Justin Flett has experience in teaching R and data science

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Understanding R Function Scoping and Closures with these activities:
Compile Course Materials
Gather, organize, and review all relevant course materials to enhance your understanding of the concepts covered in this course.
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  • Collect all lecture notes, assignments, quizzes, and exams.
  • Organize the materials by topic or lesson.
  • Review the materials regularly to reinforce your learning.
Discuss Function Scoping and Closures
Engage in discussions with peers to clarify your understanding of function scoping and closures, exchange ideas, and learn from different perspectives.
Browse courses on R Programming
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  • Join or create a study group with other students taking this course.
  • Set up a regular time to meet and discuss specific topics related to function scoping and closures.
  • Prepare questions and examples to share with the group.
Complete Advanced Function Exercises
Challenge yourself with advanced function exercises to push your understanding of function creation, manipulation, and application in R.
Browse courses on R Programming
Show steps
  • Find online exercises or resources that provide advanced function challenges.
  • Attempt to solve the exercises, using proper syntax, logic, and error handling.
  • Review your solutions and identify areas for improvement.
One other activity
Expand to see all activities and additional details
Show all four activities
Mentor Junior R Programmers
Reinforce your understanding of functions and R programming concepts by mentoring junior programmers, providing guidance and support as they develop their skills.
Browse courses on Mentoring
Show steps
  • Identify opportunities to mentor junior programmers within your network or online communities.
  • Share your knowledge and experience to help them understand functions and R programming techniques.
  • Provide feedback and encouragement to support their growth and development.

Career center

Learners who complete Understanding R Function Scoping and Closures will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst collects, cleans, and interprets data to help businesses make informed decisions. This course helps build a foundation for a career as a Data Analyst by teaching the fundamentals of R programming, including using and creating functions, working with function returns and triggers, and understanding function scoping and closures.
Data Scientist
A Data Scientist develops and uses statistical and machine learning models to extract insights from data. This course helps build a foundation for a career as a Data Scientist by teaching the fundamentals of R programming, including using and creating functions, working with function returns and triggers, and understanding function scoping and closures.
Statistician
A Statistician designs and conducts statistical studies to collect, analyze, and interpret data. This course helps build a foundation for a career as a Statistician by teaching the fundamentals of R programming, including using and creating functions, working with function returns and triggers, and understanding function scoping and closures.
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical models to analyze financial data and make investment recommendations. This course helps build a foundation for a career as a Quantitative Analyst by teaching the fundamentals of R programming, including using and creating functions, working with function returns and triggers, and understanding function scoping and closures.
Actuary
An Actuary uses mathematical and statistical models to assess risk and uncertainty. This course helps build a foundation for a career as an Actuary by teaching the fundamentals of R programming, including using and creating functions, working with function returns and triggers, and understanding function scoping and closures.
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course may be useful for a Software Engineer who wants to learn more about R programming, including using and creating functions, working with function returns and triggers, and understanding function scoping and closures.
Data Engineer
A Data Engineer builds and maintains data infrastructure. This course may be useful for a Data Engineer who wants to learn more about R programming, including using and creating functions, working with function returns and triggers, and understanding function scoping and closures.
Machine Learning Engineer
A Machine Learning Engineer develops and deploys machine learning models. This course may be useful for a Machine Learning Engineer who wants to learn more about R programming, including using and creating functions, working with function returns and triggers, and understanding function scoping and closures.
Business Analyst
A Business Analyst analyzes business data to identify opportunities and solve problems. This course may be useful for a Business Analyst who wants to learn more about R programming, including using and creating functions, working with function returns and triggers, and understanding function scoping and closures.
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. This course may be useful for a Financial Analyst who wants to learn more about R programming, including using and creating functions, working with function returns and triggers, and understanding function scoping and closures.
Software Developer
A Software Developer designs, develops, and maintains software systems. This course may be useful for a Software Developer who wants to learn more about R programming, including using and creating functions, working with function returns and triggers, and understanding function scoping and closures.
Data Architect
A Data Architect designs and builds data infrastructure. This course may be useful for a Data Architect who wants to learn more about R programming, including using and creating functions, working with function returns and triggers, and understanding function scoping and closures.
Quantitative Risk Analyst
A Quantitative Risk Analyst uses mathematical and statistical models to assess financial risk. This course may be useful for a Quantitative Risk Analyst who wants to learn more about R programming, including using and creating functions, working with function returns and triggers, and understanding function scoping and closures.
Risk Manager
A Risk Manager identifies and manages risks to an organization. This course may be useful for a Risk Manager who wants to learn more about R programming, including using and creating functions, working with function returns and triggers, and understanding function scoping and closures.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Understanding R Function Scoping and Closures.
Provides a more in-depth look at the R programming language, covering advanced topics such as object-oriented programming and functional programming.
Provides a comprehensive overview of the R programming language, with a focus on good programming practices.
Provides a practical introduction to the R programming language, with a focus on data analysis and visualization.
Provides a comprehensive overview of the ggplot2 package, which powerful tool for creating data visualizations in R.
Provides a comprehensive overview of the R Markdown language, which powerful tool for creating dynamic reports and presentations.
Provides a comprehensive overview of the R programming language, with a focus on statistical analysis.

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