Final Exam: Getting Started with R Programming

R Programming 4.0+
  • 1 Video | 35s
  • Includes Assessment
  • Earns a Badge
Final Exam: Getting Started with R Programming will test your knowledge and application of the topics presented throughout the Getting Started with R Programming track of the Skillsoft Aspire Data Analysis with R Journey.

WHAT YOU WILL LEARN

  • combine two data frames using the rbind() and cbind() functions
    create arrays and store multi-dimensional data in them
    create data frames to store data as indexed rows and columns
    create variables using different techniques
    create vectors and explore the nuances of vectors
    filter data frames to view rows that satisfy a condition
    generate vectors using the c() and vector() functions
    implement logical and relational operations on vectors
    implement matrix multiplication using the %*% operator
    index into the individual values stored in cells in data frames
  • install the R kernel on Jupyter Notebook on Windows
    label the rows in data frames and view statistics
    name dimensions in matrices and index into them using names
    perform cell-wise math operations on data stored in matrices
    perform indexing, slicing, and dicing operations with vectors
    perform vectorized or element-wise operations
    set up the R kernel on Jupyter Notebook on macOS
    use matrices to store 2-dimensional data and index into them
    use the ? operator to view docs for functions
    use various built-in functions such as print() and abs()

IN THIS COURSE

  • Playable
    1. 
    Getting Started with R Programming
    36s
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