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Programming R Matrices, Lists, and Arrays

Justin Flett

R is a widely used programming language for statistical computing. This course will teach you the fundamentals of understanding and working with matrices, lists, and arrays 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 working with matrices, lists, and arrays within R.

R is a popular programming language for statistical computing. In this course, Programming R Matrices, Lists, and Arrays, you will gain foundational knowledge of data types and structures used within R. First, you will discover how to work specifically with the list data structure within R. Next, you will learn about matrices and how to work with matrices in R. Finally, you will explore how to work with the array data structure within R. When you are finished with this course, you will have the skills and knowledge of working with some of the most commonly used data types and structures in R.

This course is no longer available. Find something similar by browsing:
R Programming Matrices Lists (Data Structure) Arrays Data Types Data Structures Statistical Computing

What's inside

Syllabus

Course Overview
Understanding Lists in R
Working with Lists in R
Understanding Matrices in R
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explores widely used programming language R which is highly relevant to statistical computing
Builds a foundational knowledge of data types and structures used within R
Taught by Justin Flett

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Reviews summary

R data structures: clear beginner foundation

According to students, this course provides a largely positive and solid foundation for understanding R's core data structures: matrices, lists, and arrays. Learners frequently praise the instructor's ability to explain complex topics clearly and concisely through practical examples and a step-by-step approach. While it's considered an excellent starting point for beginners, some more experienced programmers note the pace might be slow or the course lacks advanced depth and more challenging assignments. Overall, it successfully covers its stated objectives, making it ideal for those new to R who seek foundational skills.
Serves as an excellent starting point for new R learners.
"Highly recommend for anyone new to R or looking to refresh their knowledge."
"For a complete beginner, this course would be perfect."
"It definitely lays a good foundation for understanding the different data types in R."
Practical examples and hands-on exercises are beneficial.
"I particularly enjoyed the practical examples, which helped solidify my understanding."
"I loved how practical this course was! I was able to apply what I learned about R matrices to my work almost immediately."
"I appreciated the hands-on approach; it made the concepts stick better."
Instructor provides clear and concise explanations.
"The instructor explained complex topics clearly and concisely."
"The explanations are very clear, and the exercises really help you practice."
"This course completely demystified R data structures for me. The step-by-step approach was excellent, and the instructor made it easy to follow."
Could benefit from more challenging exercises.
"The course needs more challenging assignments."
"I found some parts a bit superficial and could use more advanced examples."
"There weren't enough challenging examples to really test my understanding."
Pace may be slow and depth insufficient for advanced users.
"I felt the pace was a bit slow for someone with prior programming experience."
"While it introduced matrices and arrays, it didn't delve deep into more advanced operations or real-world use cases."
"Intermediate users might find it lacks depth in certain areas."

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 Programming R Matrices, Lists, and Arrays with these activities:
Explore R Matrix Tutorials
Supplement your learning by exploring online tutorials and resources for R matrix operations, expanding your knowledge and skills.
Browse courses on R Programming
Show steps
  • Identify reputable online sources for R matrix tutorials.
  • Follow tutorials to learn new matrix operations and techniques.
  • Practice implementing the concepts in R.
  • Share your learnings and insights with classmates or online communities.
Practice with Matrix Problems
Reinforce your understanding of matrix operations by solving a variety of problems and exercises in R.
Browse courses on Matrix Operations
Show steps
  • Set up R programming environment and load necessary libraries.
  • Create and manipulate matrices using R functions.
  • Apply matrix operations, such as addition, subtraction, and multiplication.
  • Solve linear equations using matrices in R.
  • Analyze the results and interpret the output.
Attend an R Meetup
Interact with other R enthusiasts and professionals to exchange knowledge, ask questions, and expand your understanding of matrix operations in R.
Browse courses on R Programming
Show steps
  • Find local R meetups or online events.
  • Attend the event and actively participate in discussions.
  • Connect with other attendees and exchange insights.
  • Follow up with new connections and explore collaboration opportunities.
Three other activities
Expand to see all activities and additional details
Show all six activities
Build a Matrix Calculator
Develop a comprehensive matrix calculator using R to enhance your understanding of matrix operations and programming skills.
Browse courses on Matrix Operations
Show steps
  • Design the calculator's interface and functionality.
  • Implement matrix operations using R functions.
  • Test and debug the calculator for accuracy and efficiency.
  • Integrate error handling and input validation.
  • Deploy the calculator for use and share it with peers.
Attend an R Matrix Workshop
Gain hands-on experience and in-depth knowledge of matrix operations in R through dedicated workshops led by experts.
Browse courses on R Programming
Show steps
  • Identify and register for relevant R matrix workshops.
  • Attend the workshop and actively participate in exercises and discussions.
  • Apply the techniques learned to your own projects or research.
  • Connect with other attendees and industry professionals.
Develop a Data Visualization Project
Synthesize your knowledge by creating a data visualization project that leverages matrix operations in R to communicate insights and patterns.
Browse courses on Data Visualization
Show steps
  • Identify a dataset that aligns with your interests or learning objectives.
  • Import and explore the dataset in R.
  • Apply matrix operations to manipulate and transform the data.
  • Create visualizations using appropriate R packages and techniques.
  • Present and interpret your findings, highlighting the role of matrix operations.

Career center

Learners who complete Programming R Matrices, Lists, and Arrays will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineers develop and implement machine learning models. This Programming R Matrices, Lists, and Arrays course will help you to build a solid foundation in R programming. It will also give you the ability to work effectively with data structures like matrices, lists, and arrays. This is a valuable skillset for a Machine Learning Engineer.
See salaries and explore the career path for Machine Learning Engineer
Quantitative Analyst
Quantitative Analysts utilize complex mathematical and statistical methods. This Programming R Matrices, Lists, and Arrays course can help you to build a foundation in R programming that will help you in a career as a Quantitative Analyst. The focus on data structures like matrices, lists, and arrays will give you the necessary tools to succeed.
See salaries and explore the career path for Quantitative Analyst
Data Scientist
Data Scientists must have strong foundational knowledge of data structures and work with them regularly. This Programming R Matrices, Lists, and Arrays course will help you to build a foundation for success as a Data Scientist. You will learn to work effectively with matrices, lists, and arrays, all of which is highly applicable to data science.
See salaries and explore the career path for Data Scientist
Statistician
Statisticians analyze and interpret data by performing statistical tests. The Programming R Matrices, Lists, and Arrays course can help you to build a solid grounding in R programming, with specific focus on matrices, lists, and arrays. This will position you well for a career as a Statistician.
See salaries and explore the career path for Statistician
Data Engineer
Data Engineers design and build systems to store and process data. This Programming R Matrices, Lists, and Arrays course will help you to build a strong foundation in R programming. It will also give you the ability to work effectively with data structures like matrices, lists, and arrays. This is highly applicable to data engineering.
See salaries and explore the career path for Data Engineer
Software Engineer
Software Engineers must understand data structures. This Programming R Matrices, Lists, and Arrays course will help you develop the necessary skills and knowledge. With R being such a popular programming language, this course can help you to learn how to work with complex data structures in R. This is a highly valued skill amongst employers.
See salaries and explore the career path for Software Engineer
Business Analyst
Business Analysts use data to make better decisions. As an essential skill for anyone working in this field, this Programming R Matrices, Lists, and Arrays course will help you build a solid grounding in R programming. It will give you the ability to work effectively with data structures like matrices, lists, and arrays. This can lead to better analysis and decision-making.
See salaries and explore the career path for Business Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical methods to improve efficiency and decision-making. This Programming R Matrices, Lists, and Arrays course may be useful as it will help you to build a strong grounding in R programming and data structures. This is highly applicable to the field of operations research.
See salaries and explore the career path for Operations Research Analyst
Data Analyst
Data Analysts play a critical role in the world today. They are tasked with the management and interpretation of data. Given the prevalence of R in the data science industry, this Programming R Matrices, Lists, and Arrays course may be useful. It will help you to understand the fundamentals of R programming, especially as it pertains to matrices, lists, and arrays.
See salaries and explore the career path for Data Analyst
Biostatistician
Biostatisticians apply statistical methods to data in the field of biology. This Programming R Matrices, Lists, and Arrays course may be useful as it will help you to build a strong grounding in R programming and data structures. This knowledge will be beneficial in the field of biostatistics.
See salaries and explore the career path for Biostatistician
Risk Manager
Risk Managers identify, assess, and mitigate risks. This Programming R Matrices, Lists, and Arrays course may be useful as it will help you to build a foundation in R programming and data structures. This knowledge and skillset will aid you in identifying, quantifying, and managing risk.
See salaries and explore the career path for Risk Manager
Market Researcher
Market Researchers analyze market data to understand trends and consumer behavior. This Programming R Matrices, Lists, and Arrays course may be useful as it will help you to build foundational knowledge of R programming and data structures. This will give you the ability to analyze data more effectively as a Market Researcher.
See salaries and explore the career path for Market Researcher
Financial Analyst
Financial Analysts work with data to make investment decisions. This Programming R Matrices, Lists, and Arrays course may be useful as it will help you to understand the fundamentals of R programming and data structures. This knowledge and skillset will be valuable in your work as a Financial Analyst.
See salaries and explore the career path for Financial Analyst
Epidemiologist
Epidemiologists investigate the causes of disease and other health problems. This Programming R Matrices, Lists, and Arrays course may be useful as it will help you to build a foundation in R programming and data structures. This knowledge and skillset will be valuable in the field of epidemiology.
See salaries and explore the career path for Epidemiologist
Actuary
Actuaries analyze the financial consequences of risk and uncertainty. This Programming R Matrices, Lists, and Arrays course may be useful as it will help you to build a foundation in R programming and give you a better understanding of data structures. This knowledge and skillset will be an asset to you as an Actuary.
See salaries and explore the career path for Actuary

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 Programming R Matrices, Lists, and Arrays.
Cover image
The R Book
Save
Provides a comprehensive overview of the R programming language, including coverage of matrices, lists, and arrays. It valuable resource for both beginners and experienced R users.
The R Book
Hardcover
$$$
The R Book
Kindle Edition
$$$
Cover image
R for Data Science
Save
Provides a practical guide to using R for data science. It covers a wide range of topics, including data manipulation, visualization, and machine learning. It valuable resource for data scientists and analysts who want to learn how to use R for data science.
R for Data Science: Import, Tidy, Transform,...
Paperback
$$
(Deutsch) R für Data Science: Daten importieren, bereinigen,...
Kindle Edition
$$$
Cover image
The Art of Machine Learning
Save
Provides a practical guide to using R for data analysis. It covers a wide range of topics, including data manipulation, visualization, and statistical modeling. It valuable resource for beginners and experienced R users alike.
The Art of Machine Learning: A Hands-On Guide to...
Paperback
$$
The Art of Machine Learning: A Hands-On Guide to...
Kindle Edition
$$
Cover image
Modern Data Visualization with R
Save
Provides a practical guide to using R for data analysis. It covers a wide range of topics, including data manipulation, visualization, and statistical modeling. It valuable resource for beginners and experienced R users alike.
Modern Data Visualization with R (Chapman &...
Kindle Edition
$$$
Cover image
R Cookbook
Save
Provides a collection of recipes for solving common problems in R. It covers a wide range of topics, including data manipulation, visualization, and statistical modeling. It valuable resource for both beginners and experienced R users.
R Cookbook: Proven Recipes for Data Analysis,...
Paperback
$$$
R Cookbook: Proven Recipes for Data Analysis,...
Kindle Edition
$$$
Cover image
R Graphics Cookbook
Save
Provides a collection of recipes for creating visualizations in R. It covers a wide range of topics, including basic plots, interactive plots, and advanced visualizations. It valuable resource for both beginners and experienced R users.
R Graphics Cookbook: Practical Recipes for...
Paperback
$$$
R Graphics Cookbook: Practical Recipes for...
Paperback
$$
(中文) R Graphics Cookbook: Practical Recipes for...
Paperback
$$
R Graphics Cookbook: Practical Recipes for...
Kindle Edition
$$$
R Graphics Cookbook: Practical Recipes for...
Kindle Edition
$$
Cover image
R for Everyone
Save
Provides a gentle introduction to R programming. It covers a wide range of topics, including data manipulation, visualization, and statistical modeling. It valuable resource for beginners who want to learn how to use R for data analysis.
R for Everyone: Advanced Analytics and Graphics...
Paperback
$$
R for Everyone: Advanced Analytics and Graphics...
Kindle Edition
$$
R for Everyone: Advanced Analytics and Graphics...
Unknown Binding
$$$
Cover image
Biochemistry and Molecular Biology Compendium
Save
Provides a comprehensive guide to using R for data science. It covers a wide range of topics, including data manipulation, visualization, and statistical modeling. It valuable resource for both beginners and experienced R users.
Biochemistry and Molecular Biology Compendium
Hardcover
$$$$
Biochemistry and Molecular Biology Compendium
Kindle Edition
$$$
Cover image
R Markdown
Save
Provides a comprehensive guide to using RStudio, a popular integrated development environment for R. It covers a wide range of topics, including data manipulation, visualization, and statistical modeling. It valuable resource for both beginners and experienced R users.
R Markdown: The Definitive Guide (Chapman &...
Paperback
$$
R Markdown: The Definitive Guide (Chapman &...
Kindle Edition
$$

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Course image
Time
81 hours
Level
Intermediate
Via
Pluralsight
Instructor
Justin Flett
Language
English
This course belongs to a collection called Programming Data Structures in R. It's comprised of four courses:
  1. Managing Data in R Using Data Frames
  2. Working with Data Types in R
  3. Programming R Vectors and Factors
  4. Programming R Matrices, Lists, and Arrays (viewing)
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Explores widely used programming language R which is highly relevant to statistical computing
Builds a foundational knowledge of data types and structures used within R
Taught by Justin Flett
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