Introduction

RStudio 0.98.994    |    Beginner
  • 16 Videos | 1h 25m 45s
  • Includes Assessment
  • Earns a Badge
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R is a programming language used to carry out statistical analysis on data sets. Discover the basics to get started with programming in R and explorer basic statistic functions and data handling.

WHAT YOU WILL LEARN

  • install R in Microsoft Windows
    install the Rstudio IDE
    navigate the R console within the Rstudio IDE
    use the syntax for if-else, operators, loops, and the apply function in R
    create and manipulate basic data types including numeric and string variables
    use the vector and matrix types in R
    install and use packages from the Comprehensive R Archive Network (CRAN)
    create reusable user-defined functions in R
  • use the random number generator in R to generate single random numbers, random samples, and other random variates using the norm and binom functions
    use traceback and debug to track down errors in your R code
    use the browser and recover functions to find bugs in  R
    read input and format output using the console in R
    import data from a CSV file in R
    import data from an Excel spreadsheet in R
    handle missing or unknown values in data problems in R
    use the built-in examples to understand R functions

IN THIS COURSE

  • Playable
    1. 
    Installing R
    3m 43s
    UP NEXT
  • Playable
    2. 
    Installing Rstudio
    2m 27s
  • Locked
    3. 
    Introduction to the R Environment
    4m 41s
  • Locked
    4. 
    Introduction to Control Structures
    7m 49s
  • Locked
    5. 
    Introduction to Basic Data Types
    3m 58s
  • Locked
    6. 
    Introduction to Vectors and Matrices
    9m 16s
  • Locked
    7. 
    Using the CRAN: Comprehensive R Archive Network
    4m 40s
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    8. 
    Creating Functions
    4m 35s
  • Locked
    9. 
    Generating Random Values
    6m 25s
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    10. 
    Debugging With Traceback and Debug
    5m 53s
  • Locked
    11. 
    Debugging with Browser and Recover
    4m 38s
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    12. 
    Input and Output Functions
    4m 28s
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    13. 
    Importing Data from a CSV Text File
    3m 28s
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    14. 
    Importing Data from an Excel Spreadsheet
    5m 22s
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    15. 
    Handling Missing Data
    3m 14s
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    16. 
    Using the Built-In Data Sets
    5m 5s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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