Skip to main content
Side panel
DL 1
Home
Support
User support
GDPR
More
English (en)
Čeština (cs)
Deutsch (de)
English (en)
Français (fr)
Русский (ru)
You are currently using guest access
Log in
DL 1
Home
Support
Collapse
Expand
User support
GDPR
Expand all
Collapse all
Open course index
Research methods
Quantitative methods setup and materials
R Studio Download
R Studio Download
Completion requirements
Click on
R Studio Download
to open the resource.
◄ R Environment Download
Jump to...
Jump to...
Oznámení
Elena Llaudet, Kosuke Imai - Data Analysis for Social Science A Friendly And Practical Introduction-Princeton University Press (2022)
YouTube Tutorial - R and R Studio Setup
R Environment Download
Tidyverse
Self-Guided Practice Exercises: To Access Them Run the Code in This R Script in RStudio
Data Analysis for Social Science: A Friendly and Practical Introduction - Student Resources
Interactive Graphs
Introduction to R
Video - Introduction
Introduction R - script
causality experiment presentation
Experimental script
Observational script
causality observational
Refresher
Concepts and measures
Charts - The Economist
Video indicators
Building a database
Tidy Data
ISI WOS
Video HW2
Tables
Charts
HW III. Descriptive report
Pres
Plots
Estimating Causal Effects with Observational Data
Observational_script
UA survey
UA precincts
Video - Descriptive Statistics
Presentation - Descriptive Statistics
Data - Descriptive Statistics
Script - Population
Presentation - Data Transformation with dplyr
Video - Data Transformation with dplyr
dplyr
Presentation - Data Visualisation with ggplot2
Video - Data Visualisation with ggplot2
ggplot2
ChiSq
Video - Statistical Inference and Chi Test
Presentation - Statistical Inference and Chi Test
Presentation - Linear Regression
Video - Linear Regression
Life Expectancy Data
Methods OLS
Class rec
Gerring
Gerring2
Final task
Residuals
Residuals II
pres
Tidyverse ►