Skip to content

Latest commit

 

History

History
113 lines (74 loc) · 2.76 KB

0-InstallR.md

File metadata and controls

113 lines (74 loc) · 2.76 KB
Raw

How to install R and RStudio

Installation

You should install R before installing RStudio.

Install R

  1. Go to world wide CRAN mirror: https://cloud.r-project.org/
  2. Select you OS
  3. Select “base” (if you want to install R for the first time)
  4. Download and run

Install RStudio

This is a wrapper for a friendly usage of R.

  1. Go to RStudio download website: https://rstudio.com/products/rstudio/download/
  2. Select the Free RStudio Desktop version
  3. Download and run

Install basic packages

Open RStudio (not R !).

If you type sessionInfo() at the console, it will show you the packages you have with your installation.

You can install packages by the menu on the Packages tab
image

Try to install readxl(to deal with MS Excel files). It will install also some dependent packages.

You may also type in the console the packages or group of packages you’d like to install. Try to install these three packages with the console:

  • tidyverse- a group of basic packages to deal with data trames and graphics,
  • RColorBrewer- a package to use beautiful color palettes, and
  • devtools- a package to deal with the development versions of packages

Type

install.packages(c("tidyverse","devtools","RColorBrewer"))

Even if you want only one package, the command is in plural :)

Load packages

Simply by calling them;

library(tidyverse)
librar(readxl)
...

When you restart R (Ctrl + Shift + F10) you’ll need to load packages again.

The R dashboard

R script

You can click here at the upper left icon, and select R Script
image
Or Ctrl + Shift + F
Or in the console, type file.edit("startup.R)

Start by typing the aim of that script, commented with a cardinall (#)
You can comment/uncomment any line by selecting it and press Ctrl + Shift + C

Save the script.

Working directory

Step by step:

  1. click on “Session”;
  2. Click on “Set working directory”;
  3. Click on “Choose directory” and select the folder that contains the dataset.

Or you could just run

setwd("D:/TDM/Transport-Demand-Modelling") #for instance

Run a script

Environment

And .RData

Flavors

Tools > Global Options > Appearence > Editor Theme > ...

Try to change to “Cobalt”, or check others you may like.

You can also change font, font-size, and even the panels layout.