R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.
Install the latest version of R from CRAN.
Install the latest version of RStudio here. Choose the free RStudio Desktop version for Windows, Mac, or Linux.
Start RStudio. The tidyverse contains several packages that work together for everyday use in data science. You can install them from the Console or from the RStudio Packages tab.
Make sure that the installation was successful by loading the
tidyverse library. Do this in the Console as below, or check the box next to the
tidyverse library in the RStudio Packages tab.
Also install and load the libraries for
rafalib by following the same procedure that you followed for the
Data files and project organization
Make a new folder in your Desktop called
inference. Move into this new folder.
datafolder to hold the data, a
scriptsfolder to house your scripts, and a
resultsfolder to hold results.
Alternatively, you can use the R console to run the following commands for steps 1 and 2.
setwd("~/Desktop") dir.create("./inference") setwd("~/Desktop/inference") dir.create("./data") dir.create("./scripts") dir.create("./results")
Please download the following files and place them in your
data folder. You can download the files from the URLs below and move the files the same way that you would for downloading and moving any other kind of data.
Alternatively, you can copy and paste the following into the R console to download the data.
download.file(url = "https://raw.githubusercontent.com/genomicsclass/dagdata/master/inst/extdata/femaleMiceWeights.csv", destfile = "data/femaleMiceWeights.csv") download.file(url = "https://raw.githubusercontent.com/genomicsclass/dagdata/master/inst/extdata/femaleControlsPopulation.csv", destfile = "data/femaleControlsPopulation.csv") download.file(url = "https://raw.githubusercontent.com/genomicsclass/dagdata/master/inst/extdata/mice_pheno.csv", destfile = "data/mice_pheno.csv")