R Programming

This course is part of multiple programs. Learn more

Instructors: Roger D. Peng, PhD +2 more

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What you'll learn

  •   Understand critical programming language concepts
  •   Configure statistical programming software
  •   Make use of R loop functions and debugging tools
  •   Collect detailed information using R profiler

    • Skills you'll gain

  •   Computer Programming Tools
  •   Data Import/Export
  •   Statistical Analysis
  •   Debugging
  •   Performance Tuning
  •   R Programming
  •   Statistical Programming
  •   Simulations
  •   Data Analysis
  •   Data Structures
  •   Program Development

    • There are 4 modules in this course

    In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.

    Week 2: Programming with R

    Week 3: Loop Functions and Debugging

    Week 4: Simulation & Profiling

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