https://github.com/seananderson/adv-r-course

Advanced R workshop
https://github.com/seananderson/adv-r-course

Last synced: 12 days ago
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Advanced R workshop

• Host: GitHub
• URL: https://github.com/seananderson/adv-r-course
• Owner: seananderson
• Created: 2019-08-20T15:56:06.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2019-10-02T21:43:37.000Z (about 5 years ago)
• Last Synced: 2024-10-12T01:20:50.245Z (27 days ago)
• Language: R
• Homepage:
• Size: 238 KB
• Stars: 16
• Watchers: 4
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Advanced R Workshop

This two-day workshop will cover advanced R topics including:

- writing functions (e.g., characteristics of well-written functions, lazy evaluation, error and warning handling)

- debugging strategies and tools

- succinctly applying functions to vectors with the `map()` family of functions within the purrr package

- split-apply-combine strategies for applying functions to chunks of data (e.g., list-column data frames)

- using profiling tools to find code speed bottlenecks

- using benchmarking tools to compare code speed

- parallel processing approaches (with a focus on the future package)

- using Rcpp to link basic C++ code with R to eliminate bottlenecks

Prior to taking this workshop, participants will be expected to have reviewed a subset of the Foundations sections of the Advanced R book by Hadley Wickham https://adv-r.hadley.nz/ (Names and values, Vectors, Subsetting, and Control flow) and be familiar with the basics of ggplot2 and dplyr. See https://r4ds.had.co.nz/data-visualisation.html and https://r4ds.had.co.nz/transform.html.

See [admin/outline.md](https://github.com/seananderson/adv-r-course/blob/master/admin/outline.md) for an outline of learning goals and software requirements.

## Functions and functional programming

- Introduction and foundations refresher

  - intro.key

  - tools.key

- Functions

  - functions.key

  - adv-functions.key

- Debugging functions

  - debugging.key

  - debugging.Rmd

- Functional programming: iterating with functions via the purrr package

  - iteration.Rmd + purrr.key

- List-column data frames and other split, apply, combine strategies

  - list-columns.Rmd

- Tidy evaluation

  - tidy-eval.Rmd

## Performance

- Benchmarking

  - performance.key + benchmarking.Rmd

- Profiling

  - profiling.Rmd

- Parallel processing

  - parallel.key

  - futures-introduction.Rmd

  - future-bootstrap.Rmd

- Rcpp

  - rcpp.key

  - rcpp-introduction.Rmd

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.