R Programming MCQ (Multiple Choice Questions)

R Programming MCQ - Multiple Choice Questions and Answers

Our 1000+ R Programming MCQs (Multiple Choice Questions and Answers) focuses on all chapters of R Programming covering 100+ topics. You should practice these MCQs for 1 hour daily for 2-3 months. This way of systematic learning will prepare you easily for R Programming exams, contests, online tests, quizzes, MCQ-tests, viva-voce, interviews, and certifications.

R Programming Multiple Choice Questions Highlights

- 1000+ Multiple Choice Questions & Answers (MCQs) in R Programming with a detailed explanation of every question.
- These MCQs cover theoretical concepts, true-false(T/F) statements, fill-in-the-blanks and match the following style statements.
- These MCQs also cover lots of code, code snippets and/or complete programs.
- These MCQs are organized chapterwise and each Chapter is futher organized topicwise.
- Every MCQ set focuses on a specific topic of a given Chapter in R Programming Subject.

Who should Practice R Programming MCQs?

– Students who are preparing for college tests and exams such as mid-term tests and semester tests on R Programming.
- Students who are preparing for Online/Offline Tests/Contests in R Programming.
– Students who wish to sharpen their knowledge of R Programming Subject.
- Anyone preparing for Aptitude test in R Programming.
- Anyone preparing for interviews (campus/off-campus interviews, walk-in interview and company interviews).
- Anyone preparing for entrance examinations and other competitive examinations.
- All - Experienced, Freshers and College / School Students.

R Programming Chapters

Here's the list of chapters on the "R Programming" subject covering 100+ topics. You can practice the MCQs chapter by chapter starting from the 1st chapter or you can jump to any chapter of your choice.

  1. History, Overview and Getting Started
  2. Nuts and Bolts and Getting Data In and Out
  3. R – Data Storage, Formats, Objects and Operations
  4. Control Structures, Functions, Scoping Rules, Loop Functions and Debugging
  5. Profiling, Simulation and Data Analysis
  6. Commands, Packages, Visualizing Data and Linear Regression
  7. Distributions, Graphics & Neural Networks

1. History, Overview and Getting Started

The section contains multiple choice questions and answers on the basics and history of R-Programming language, R programming installation and configuration and console input and evaluation.

  • History of R – 1
  • History of R – 2
  • Overview of R – 1
  • Overview of R – 2
  • Overview of R – 3
  • Basics – 1
  • Basics – 2
  • Basics – 3
  • Basics – 4
  • Install and Configure
  • Console Input and Evaluation – 1
  • Console Input and Evaluation – 2
  • 2. Nuts and Bolts and Getting Data In and Out

    The section contains questions and answers on data types and dataset reading in R-Programming.

    advertisement
    advertisement
  • Data Types – 1
  • Data Types – 2
  • Data Types – 3
  • Data Types – 4
  • Data Types – 5
  • Data Types – 6
  • Data Types – 7
  • Reading Datasets – 1
  • Reading Datasets – 2
  • 3. R – Data Storage, Formats, Objects and Operations

    The section contains MCQ on text data formats, connecting interfaces, basics of dplyr, vector operations and subsets.

  • Textual Data Formats – 1
  • Textual Data Formats – 2
  • Connection Interfaces
  • Subsetting – 1
  • Subsetting – 2
  • Vectorized Operations-1
  • Vectorized Operations-2
  • Introduction to dplyr – 1
  • Introduction to dplyr – 2
  • 4. Control Structures, Functions, Scoping Rules, Loop Functions and Debugging

    The section contains multiple choice questions and answers on control statements, date and time, functions, loops and scoping rules.

  • Control Structures – 1
  • Control Structures – 2
  • Control Structures – 3
  • Functions – 1
  • Functions – 2
  • Functions – 3
  • Functions – 4
  • Functions – 5
  • Functions – 6
  • Functions – 7
  • Functions – 8
  • Dates and Times
  • Scoping Rules – 1
  • Scoping Rules – 2
  • Loop Functions – 1
  • Loop Functions – 2
  • Debugging
  • Debugging Tools
  • 5. Profiling, Simulation and Data Analysis

    The section contains questions and answers on basics of simulation, ggplot, r-profiler, wrangling of data and exploratory data analysis.

    advertisement
  • Simulation – 1
  • Simulation – 2
  • R Profiler – 1
  • R Profiler – 2
  • ggplot2 – 1
  • ggplot2 – 2
  • ggplot2 – 3
  • Data Wrangling – 1
  • Data Wrangling – 2
  • Exploratory Data Analysis – 1
  • Exploratory Data Analysis – 2
  • 6. Commands, Packages, Visualizing Data and Linear Regression

    The section contains MCQs on commands and packages, data visualization and linear regression and predictive analysis.

  • Commands – 1
  • Commands – 2
  • Commands – 3
  • Packages – 1
  • Packages – 2
  • Packages – 3
  • Packages – 4
  • Packages – 5
  • Visualizing Data – 1
  • Visualizing Data – 2
  • Linear Regression – 1
  • Linear Regression – 2
  • Linear Regression – 3
  • Predictive Analytics
  • advertisement

    7. Distributions, Graphics & Neural Networks

    The section contains multiple choice questions and answers on distribution, R programming graphics and neural networks.

  • Distribution – 1
  • Distribution – 2
  • Graphics with R – 1
  • Graphics with R – 2
  • Neural Networks
  • If you would like to learn "R Programming" thoroughly, you should attempt to work on the complete set of 1000+ MCQs - multiple choice questions and answers mentioned above. It will immensely help anyone trying to crack an exam or an interview.

    Wish you the best in your endeavor to learn and master R Programming!

    advertisement
    Manish Bhojasia - Founder & CTO at Sanfoundry
    Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

    Subscribe to his free Masterclasses at Youtube & discussions at Telegram SanfoundryClasses.