Intro

Hi!

CouRse aims

• Introduce you to R
• Basic concepts in data analysis
• “Cool” visuals

CouRse outline

1. Lesson 1: R basics
2. Lesson 2: More R
3. Lesson 3: A fun example
4. Lesson 4: Another potentially fun example.
5. Lesson 5: So shiny!

What is R?

• Statistical and graphical language
• Follower of S

What is it good foR?

• Data mining/analysis
• Data visualization and graphics
• Statistics!
• Glorified calculator?

How do I…

Install R

Start off by downloading R and then RStudio.

• Installing R for Windows
• Installing R for Mac
• Installing R for Unix

Is it installed? Does it Run?

Use R

• We will get to more fun stuff later, but first things first:

  Run RStudio

• Click it!

Packages, Repositories, oh my!

• Packages are code (and other!) bundles.
• Repositories are where packages are located. Most are in CRAN. Bioconductor and also github.
• More on this here and here.

  Install packages

  From CRAN:

  install.packages("very_important_package")
  

  From Bioconductor:

  source("http://bioconductor.org/biocLite.R")
  biocLite("very_important_package")
  

  Or (for the next release)

  if (!require("BiocManager"))
    install.packages("BiocManager")
  BiocManager::install("my_super_cool_package")
  

  From github:

  install.packages("devtools")
  library(devtools)
  devtools::install_github("very_cool_developer/very_important_tool")
  

  Load libraries

  library(very_important_package)
  library(very_important_tool)
  require(very_important_data)
  

WheRe to get help

• https://www.rstudio.com/
• https://www.r-bloggers.com/
• https://www.statmethods.net/index.html

OtheR useful stuff

• https://plot.ly/r/
• https://shiny.rstudio.com/
• https://rmarkdown.rstudio.com/
• https://www.rstudio.com/resources/cheatsheets/
• http://swirlstats.com/
• https://www.tidyverse.org/
• https://www.listendata.com/p/r-programming-tutorials.html
• http://genomicsclass.github.io/book/
• https://twitter.com/@RLangTip
• https://twitter.com/hashtag/rstats?src=hash
• http://serialmentor.com/dataviz/
• https://adv-r.hadley.nz/
• https://peerj.com/collections/50-practicaldatascistats/
• http://www-huber.embl.de/csama2018/#home
• https://elifesciences.org/labs/cad57bcf/composing-reproducible-manuscripts-using-r-markdown