R Programming for Beginners: Exploring R Vectors

R Programming 4.0+    |    Beginner
  • 11 Videos | 1h 32m 49s
  • Includes Assessment
  • Earns a Badge
Vectors are the easiest type of data structures in R. However, to use them successfully, it's important to appreciate their restrictions, recognize the types available, and identify their members - or components as they're officially called in R. This course shows you how to create and generate vectors using the c() and vector() functions, respectively. You'll perform vectorized operations on elements in vectors. Practice filtering and slicing vectors. And use the which(), any(), and all() functions on vectors. Furthermore, you'll perform naming and indexing operations on vectors and work with different length vectors using vector recycling. On completing this course, you'll have the knowledge and know-how to utilize vectors for their intended purpose.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    generate vectors using the c() and vector() functions
    create vectors and explore the nuances of vectors
    perform indexing, slicing, and dicing operations with vectors
    perform vectorized or element-wise operations
    implement logical and relational operations on vectors
  • create vectors containing data stored as name-value pairs
    use recycling for operations with two different sized vectors
    perform logical and filter operations on elements in vectors
    filter vectors based on logical conditions
    summarize the key concepts covered in this course

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    2m 16s
    UP NEXT
  • Playable
    2. 
    Creating Basic R Vectors
    9m 11s
  • Locked
    3. 
    Understanding the Finer Points of R Vectors
    10m 40s
  • Locked
    4. 
    Indexing into R Vectors
    12m 2s
  • Locked
    5. 
    Performing Vectorized Operations in R
    8m 54s
  • Locked
    6. 
    Implementing Relational Operations on R Vectors
    5m 52s
  • Locked
    7. 
    Creating R Vectors with Key-Value Pairs
    9m 44s
  • Locked
    8. 
    Recycling R Vectors in Vectorized Operations
    8m 11s
  • Locked
    9. 
    Filtering Data in R Vectors
    9m 46s
  • Locked
    10. 
    Using any(), all(), & which() Functions on R Vectors
    9m 51s
  • Locked
    11. 
    Course Summary
    1m 54s

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