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Software Carpentry: Programming with R In-Person

This is an introduction to programming and data analysis for absolute novices, using R

The best way to learn how to program is to do something useful, so this introduction to R is built around a common scientific task: data analysis.

Our real goal isn’t to teach you R, but to teach you the basic concepts that all programming depends on. We use R in our lessons because:

  1. we have to use something for examples;
  2. it’s free, well-documented, and runs almost everywhere;
  3. it has a large (and growing) user base among scientists; and
  4. it has a large library of external packages available for performing diverse tasks.

1. Analyzing Patient Data

2. Creating Functions

3. Analyzing Multiple Data Sets

4. Making Choices

5. Command-Line Programs

6. Best Practices for Writing R Code

7. Dynamic Reports with knitr

8. Making Packages in R

9. Introduction to RStudio

10. Addressing Data

11. Reading and Writing CSV Files

12. Understanding Factors

13. Data Types and Structures

14. The Call Stack

15. Loops in R

More information about this workshop (including the lessons themselves) are here:

https://swcarpentry.github.io/r-novice-inflammation/

Date:
Tuesday, June 25, 2024
Time:
1:00pm - 4:00pm
Time Zone:
Auckland (change)
Location:
Room 210 (Puaka-James Hight)
Categories:
  Research Support > NVivo     Research Support  

Registration is required. There are 17 places available.

contact me for help (profile box)

Anton Angelo