Install R And RStudio Instructions
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Install R and RStudio
Francesca Vitalini
10/12/2018
Introduction
These are the instructions for the workshop “Introduction to R with tidyverse”.
Workshop Objectives
This is what we will try to achieve in the workshop
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Become familiar with R and its community
Learn the basiscs of R language and its concepts
Import data in R
Manipulate data using tydiverse (dplyr)
Visualization of the data with tydiverse (ggplot2)
Make a report out of your data with Rmarkdown
Obtain good basis in R tidyverse for more advanced courses
Pre-requisites
In order to profit from the workshop, the following pre-requisites are important:
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No R knowledge is required, some is an advantage
Suitable for complete beginners
An understanding of programming of other programming languages can be beneficial
Course participants are expected to bring their own laptop
Make sure to have R and Rstudio installed
Instructions to install R
This workshop is in R. To install R 3.5.1 follow the instructions below for your platform.
R is a functional and object-oriented programming language and environment for statistical computing and
graphics.
R is a free, open source, software and it is highly extensible through so-called packages which can be freely
downloaded from CRAN
References:
• R: https://www.r-project.org
• CRAN: https://cran.r-project.org/web/packages/
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UBUNTU 18.04 (and 16.04)
References
• R installation: https://cran.r-project.org/bin/linux/ubuntu/README.html
• Public key error: https://stackoverflow.com/a/24732162
Setup repository
From the terminal, open the file with the list of repositories
sudo gedit /etc/apt/sources.list
add the corresponding line at the end of the file
# 18.04 bionic beaver
deb https://cloud.r-project.org/bin/linux/ubuntu bionic-cran35/
# 16.04 xenial xerus
deb https://cloud.r-project.org/bin/linux/ubuntu xenial-cran35/
save and close.
Install R
In the terminal run
sudo apt-get update
Then install the R package by running
sudo apt-get install r-base
WINDOWS:
Download and execute the relevant installer from https://stat.ethz.ch/CRAN/bin/windows/base/
References:
• R installation https://stat.ethz.ch/CRAN/bin/windows/
MACOS
Download and execute R-3.5.1.pkg from https://stat.ethz.ch/CRAN/bin/macosx/
References:
• R incstallation https://stat.ethz.ch/CRAN/bin/macosx/
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Instructions to install RStudio
In this workshop we will work in RStudio.
RStudio is a free and open-source integrated development environment for the R programming language.
To install RStudio IDE follow the instructions below.
References:
• RStudio: https://www.rstudio.com
• RStudio Cheat Sheets: https://www.rstudio.com/resources/cheatsheets/
Install RStudio
Download and execute the relevant installer for RStudio Desktop FREE from https://www.rstudio.com/
products/rstudio/download/#download
Get Familiar wit R Studio
Due to time constraints during the workshop, it would be beneficial if you could start getting familiar with R
Studio.
R Console
Here is where you execute R code.
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File Browser
Here you can browse your files.
Script Files
Here is how to make a script where to write your R code.
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To execute R code from a script.
Hit Ctrl+Enter to run the current line or selection:
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The tidyverse package
In this workshop we will use a series of very known packages, which share a common way to represent data,
so that they work in perfect harmony. They define the tidyverse framework. It includes
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ggplot2 - to make plots
dplyr - for data manipulation
tidyr - to clean the data
readr - to read data stored in rectangular formats (e.g. csv)
purrr - for enhanced functional programming in R
tibble - introduces the tibble structure, an “efficient” dataframe
stringr - for string manipulation
forcats - tools to work with factors, i.e. categorial variables
In this course we will focus on dplyr and ggplot2.
References:
• tidyverse: https://www.tidyverse.org
Install tidyverse package
Go to the Console.
Type install.packages("tidyverse") and click Enter to install tidyverse.
Note that the installation might take some time.
Check that everything went fine by running in the Console: library(tidyverse)
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Get the material for the course
The material is stored on GitHub.
To access it you need a GitHub login. If you do not have one you can create it at https://github.com and
here is the GitHub documentation.
Once you have logged in, navigate to https://github.com/miraisolutions/GGCWorkshopMaterial.
Click on Clone or download (green button to the right) and copy the url.
Then open RStudio. Click on the small arrow on the top right, next to the RStudio icon and the Project
Name (if you do not have any project open will state Progect (none)), and select New Project.
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Select Version Control.
Select Git.
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As Repository URL paste the GitHub URL. With Project Directory Name you cna provide the name of
the project. It is custom to use the same name as the GitHub repository (in this case GGCWorkshopMaterial).
The third fiels is where your project will be created. Choose a convenient path.
Click Create Project. RStudio will authomatically open a window with the new project.
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Outline of the Course:
Introduction 1. What is R? What is Rstudio? 2. How to get usefull packages? What is tidyverse? 3.
Getting help. The CRAN community 4. Importing data in R 5. Data objects in R
Hands-on with Tidyverse: a Case Study 1. Filter and manipulate data with tydiverse (dplyr) 2. Add
some statistics to the data 3. Plot data with tydiverse (ggplot2) 4. Make a report with Rmarkdown
The data
The dataset we will consider in this course is provided by the Swiss Federal Office.
It describes the occupation by gender in Switzerland between 1970 and 2015.
We have pre-processed the data for you so that it would be easier to work with.
The data is provided in two formats: .xlsx and .csv. Please have a look at it prior to the workshop.
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