Short Introduction to RStudio Felix Haass GIGA German Institute of - - PowerPoint PPT Presentation

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Oct 04, 2022 350 likes •465 views

Short Introduction to RStudio Felix Haass GIGA German Institute of Global and Area Studies University of Greifswald Prepared for the ECPR Summer School 2015 Multiple Regression Analysis Prof. Dr. Bernhard Kittel July 26, 2015 The RStudio

SLIDE 1

Short Introduction to RStudio

Felix Haass

GIGA German Institute of Global and Area Studies University of Greifswald Prepared for the ECPR Summer School 2015 Multiple Regression Analysis

Prof. Dr. Bernhard Kittel

July 26, 2015

SLIDE 2

The RStudio Environment

SLIDE 3

The Editor - What it does

This is where you:

1. Write your scripts (but not

necessarily all your code!)

2. View your data (type in

console: View(data))

3. Write reports or create

presentations (Markdown)

SLIDE 4

The Editor - How to use it

Useful tips for using the RStudio editor

1. Execute code: Select code chunk &

Ctrl+Enter

◮ Ctrl+S+Enter executes

entire script

2. Shortcut: Ctrl+1

◮ focuses cursor on editor

window

◮ useful if you switch often

between console and editor

3. Code completion: Press Tab
4. Warns if your code has typos:

SLIDE 5

The Data Viewer

Usually it’s a good idea to inspect your data visually. This is what the data viewer is for.

1. Filter: toggle filter for

each variable directly in the data viewer

2. Search: search data

frame for string / number

3. Click on variable name

to sort data frame based on that variable (descending / ascending / alphabetical)

SLIDE 6

The Console

1. Write your step-by-step
code. If it works →

copy it to source editor!

2. Up (Arrow): last

command

3. Ctrl+Up: popup code
history. Tip: start

typing command & Ctrl+Up to see recent instances of command. Can save lots of time!

4. Focus cursor on

console: Ctrl+2

SLIDE 7

Environment & History

Environment

1. See which objects are in

your workspace (WS can get crowded sometimes; this is where the Environment panel becomes useful)

2. Clear global environment

with rm(list = ls())

3. Click on object to view it

in the data viewer The History

1. See what you did.

(Always good idea)

2. If it worked → copy it to

source or console

SLIDE 8

Plot / Help / Files

Plot

1. Look at your plots
2. Export them (better to use

code for this, though! Replication!) Help

1. help(command) opens this

window Files (no screenshot)

1. Open files / scripts
2. Point+Click to set working
directory. Faster:

Ctrl+Shift+H Packages (no screenshot)

1. Manage your packages
2. Update & install packages

SLIDE 9