Skip to content

sprocketsullivan/repro_with_R

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

82 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Reproducible Research with R

Preparation for the course

Each participants should prior to the course:

  • Complete DataCamp courses
    • Beginner: Introduction to R and Imprting in data in R
    • Beginner & Intermediate: Intermediate R and Introduction tidyverse.
    • Beginner & Intermediate & Advanced: Intermediate Data Visualization with ggplot2 and Reshaping Data with tidyr If you have not yet received an invitation to datacamp please contact us!
  • Install in the newest(!) version:
  • Get an account for:
    • Github You can have the academic version with Charité email
  • Set up Rstudio with ssh key to connect to github Please set up RStudio on your computer to connect to github. We will have some time in the beginner session to test whether this works.

https://public-health-scotland.github.io/git-guide/rstudio-1.html
https://www.youtube.com/watch?v=_Bn78aor_N4

Important resources to use if you do not know how to proceed/need help:

  • Cheat sheets on different packages like tidyverse, ggplot, etc.
  • Stackoverflow: A community of nerds at your disposal. All beginners questions have been already posted so a simple search is enough!
  • help function in R (put cursor on function name and press F1 or type ?function_name)
  • at the end of each help text there is a so called vignette that will give an executable example so that you can experiment with the function and its outputs
  • Please refrain from using AI for now. We will discuss the efficient use of AI in the last session.

Course Program

We will meet online via Teams and in presence in the last session. You will recieve an outlook invitation for these meetings. Prior to the meetings please work through the datacamp courses.

1. Session 26.11. 2pm

  • Reading in data

  • Functions

  • Vectorisation

2. Session 14.01.

  • Advanced Plotting

  • Tidyverse

3. Session in presence in Berlin 26.03.

  • git/github

  • Reproducible workflows

  • Advanced data manipulation

  • AI assistance

Technical challenges

All code will be provided on Github where also this document here resides.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 4

  •  
  •  
  •  
  •