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  • 0. Syllabus
    • General information
    • Course description
    • Grading
    • Communication
    • Material
    • Convinced?
  • 1. Lectures
    • Supplementary material
  • 2. Tutorials
    • R Coding Style Guide
    • Project-oriented workflow
    • GitHub
    • Web scraping in R
  • 3. Homeworks
    • Schedule
    • homework #0
    • homework #1
    • homework #2
    • homework #3
    • homework #4
  • 4. Project
    • Schedule
    • Scope
    • Proposal
    • Final Project
    • Groups
    • Peer grading
  • 5. Resources

More

  • Github repo
  • Discussion forum
  • Lectures

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Programming tools in data science > Lectures > Supplementary material
      • Codes
    • Shiny App
    • R-package
    • R-package with Rcpp and Shiny App

Supplementary material

We use this page to add supplementary material for the lectures.

Codes

Find here the code we used during the class.

Get R file from Lecture #1

Get RMarkdown file from Lecture #2 …and the bibliography …and the HTML output

Get RMarkdown file from Lecture #4 Get R file from Lecture #5

Get slides from October 23 tutorial Get R file from October 23 tutorial

Get R file from Lecture #6

Get slides from November 6 tutorial Get R file from November 6 tutorial

Shiny App

Tutorials Application layout guide Get R file from Lecture #7

R-package

Check Hadley’s book
The code of lecture #8 is on a GitHub rep here

R-package with Rcpp and Shiny App

The code and the package of lecture #9 are accessible here