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R Foundations for Life Scientists 2020

Welcome to the R Foundations for Life Scientists course organised by National Bioinformatics Infrastructure, Sweden.

This document is a life record of what we are doing and learning during the course. As either a student or a teacher, you are encouraged to write your comments, questions and feedback.

Useful resources

Course website: https://nbisweden.github.io/workshop-r/2011 HackMD (this document): https://hackmd.io/479oLTV3SwOu_h-UK0sS_g?both Zoom link: https://uu-se.zoom.us/j/64914582551 (passcode has been sent to you)

NOTE! Zoom link is active from 09:00-17:00 Stockholm time, Mon, 02- Fri, 06 Nov 2020.

Introduction

Here, we write a few words about ourselves to get to know each other a bit better.

Teachers and Teaching Assistants

  • Marcin Kierczak - responsible for the course content, using R for hacking genomes since 2009. Interested in: stats, genetics, digital signal processing, theory of programming, software design and development strategies. Organizer of R Foundations and RaukR Summer School.
  • Sebastian DiLorenzo - organizer of R Foundations and RaukR Summer School.
  • Roy Francis
  • Lucile Soler
  • Dimitris Bampalikis
  • Per Unneberg
  • Jakub Orzechowski Westholm
  • Mun-Gwan Hong
  • Lokeshwaran Manoharan
  • Payam Ememi

Students

  • Marcin Kierczak - I program since I turned 12, in R since 2009. I teach programming to learn even more and every time, I learn A LOT from students and fellow teachers!

Day 0 - Example

Here, you see how we can ask questions and how an answer may look like.

Questions and Issues

  • I wrote y <- 10. Is it equivalent to writing y = 10?
    • No, not really! Although, most of the time it won't make much of a difference, but <- is the assignment operator. It gives (assigns) a name to a value while = is saying something is equal to something else. You should use <- everywhere except function calls, where you use =, like: my_awesome_function(parameter = 42). Writing = instead of <- is also considered a bad style and you risk being loughed at by some more experienced R coders.

Day 1

Questions & Issues

Feedback

Day 2

Questions & Issues

Feedback