Data wrangling with tidy

The Course

This course introduces the tidyverse collection of packages for R, and outlines some of their key ideas and functions.

Course material and exercises are available to view as rendered HTML at https://rockefelleruniversity.github.io/RU_tidyverse/.
All material is available to download under GPL v2 license.

Setting up.

Install R.

R can be installed from the R-project website.
R 3.6.0 or higher is recomended for this course.

http://www.r-project.org/

Install RStudio.

RStudio can be installed from the R-project website.

http://www.rstudio.com/

Install required packages.

Option 1 - (For your own personal computers)

Having downloaded R and RStudio, some additional packages are required (rmarkdown and ggplot2).
To install these,

• First launch RStudio
• Install the packages in the R console using devtools

  install.packages("devtools",dependencies=TRUE)
  devtools::install_github("rockefelleruniversity/RU_tidyverse",subdir="rutidyverse",build_vignettes=TRUE)
  

Option 3 - (For anywhere)

Having downloaded R and RStudio, some additional packages are required (rmarkdown and ggplot2).
To install these,

• First launch RStudio
• Install the packages in the R console using install.packages

  install.packages("tidyverse",dependencies=TRUE)
  install.packages("broom",dependencies=TRUE)
  install.packages("BiocManager")
  BiocManager::install("org.Hs.eg.db",dependencies=TRUE)
  BiocManager::install("TxDb.Hsapiens.UCSC.hg19.knownGene",dependencies=TRUE)
  

Download the material

The material can either be downloaded through this link as a zip, or by running this command in temrinal:

wget https://github.com/rockefelleruniversity/RU_tidyverse/archive/master.zip ./

The workshop