r-intro-gesis-2021

Materials for the 2021 GESIS Summer School in Survey Methodology course "Introduction to R for Data Analysis"

https://github.com/jobreu/r-intro-gesis-2021

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Materials for the 2021 GESIS Summer School in Survey Methodology course "Introduction to R for Data Analysis"

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README.md

"Introduction to R for Data Analysis", GESIS Summer School in Survey Methodology 2021

Materials for the 2021 GESIS Summer School in Survey Methodology course "Introduction to R for Data Analysis"

Johannes Breuer (johannes.breuer@gesis.org, \@MattEagle09); Stefan Jnger (stefan.juenger@gesis.org, \@StefanJuenger)

Please link to the workshop GitHub repository


Course description

The open source software package R is free of charge and offers standard data analysis procedures as well as a comprehensive repertoire of highly specialized processes and procedures, even for complex applications. In addition to providing an introduction to the basic concepts and functionalities of R, we will go through a prototypical data analysis workflow in the course: import, wrangling, exploration, (basic) analysis, reporting.

Prerequisites

  • prior experience with quantitative data analysis, basic statistics, and regression
  • experience with using other statistical packages (e.g., SPSS or Stata) is helpful, but not a requirement

Timetable

Day 1

Day Time Topic
Monday 10:30 - 11:30 Getting Started with R and RStudio
Monday 11:30 - 11:45 Break
Monday 11:45 - 12:45 Getting Started with R and RStudio
Monday 12:45 - 13:45 Lunch Break
Monday 13:45 - 15:00 Data Import & Export
Monday 15:00 - 15:15 Break
Monday 15:15 - 16:30 Data Import & Export

Day 2

Day Time Topic
Tuesday 10:00 - 11:15 Data Wrangling - Basics
Tuesday 11:15 - 11:30 Break
Tuesday 11:30 - 12:45 Data Wrangling - Basics
Tuesday 12:45 - 13:45 Lunch Break
Tuesday 13:45 - 15:00 Data Wrangling - Advanced
Tuesday 15:00 - 15:15 Break
Tuesday 15:15 - 16:30 Data Wrangling - Advanced

Day 3

Day Time Topic
Wednesday 10:00 - 11:15 Exploratory Data Analysis
Wednesday 11:15 - 11:30 Break
Wednesday 11:30 - 12:45 Exploratory Data Analysis
Wednesday 12:45 - 13:45 Lunch Break
Wednesday 13:45 - 15:00 Data Visualization - Part 1
Wednesday 15:00 - 15:15 Break
Wednesday 15:15 - 16:30 Data Visualization - Part 1

Day 4

Day Time Topic
Thursday 10:00 - 11:15 Confirmatory Data Analysis
Thursday 11:15 - 11:30 Break
Thursday 11:30 - 12:45 Confirmatory Data Analysis
Thursday 12:45 - 13:45 Lunch Break
Thursday 13:45 - 15:00 Data Visualization - Part 2
Thursday 15:00 - 15:15 Break
Thursday 15:15 - 16:30 Data Visualization - Part 2

Day 5

Day Time Topic
Friday 10:00 - 11:15 Reporting with R Markdown
Friday 11:15 - 11:30 Break
Friday 11:30 - 12:45 Reporting with R Markdown
Friday 12:45 - 13:45 Lunch Break
Friday 13:45 - 15:00 Advanced Use of R, Outlook, Q&A
Friday 15:00 - 15:15 Break
Friday 15:15 - 16:30 Advanced Use of R, Outlook, Q&A

Materials

Day 1

Slides

1_1 Getting Started

1_2 Data Types, Import, & Export

Appendix - Setup and Workflow Help

Exercises

111 First Steps

112 Packages Scripts

121 Data Types

122 Flat Files

123 Statistical Software Files

Solutions

111 First Steps

112 Packages Scripts

121 Data Types

122 Flat Files

123 Statistical Software Files

Day 2

Slides

2_1 Data Wrangling Basics

2_2 Data Wrangling Advanced

Appendix - Relational Data

Exercises

211 Select Rename

212 Filter Arrange

213 Mutate Recode Missings

221 Across the Tidyverse

222 Define your Cases

223 If I had a Function

224 Purrr Joy of Writing Loops

Solutions

211 Select Rename

212 Filter Arrange

213 Mutate Recode Missings

221 Across the Tidyverse

222 Define your Cases

223 If I had a Function

224 Purrr Joy of Writing Loops

Day 3

Slides

3_1 Exploratory Data Analysis

3_2 Data Visualization Part 1

Exercises

311 Summary Statistics

312 Frequencies Proportions

313 Crosstabs Correlations

321 A Simple Plot

322 Handling Multiple Plots

323 Plotting Repeats

324 GGood Plots

Solutions

311 Summary Statistics

312 Frequencies Proportions

313 Crosstabs Correlations

321 A Simple Plot

322 Handling Multiple Plots

323 Plotting Repeats

324 GGood Plots

Day 4

Slides

4_1 Confirmatory Data Analysis

4_2 Data Visualization Part 2

Exercises

411 t-test ANOVA

412 Regression Analysis

413 Regression Reporting

421 Plotting Diagnostics

422 Plotting a Regression

423 Combining Predictions

Solutions

411 t-test ANOVA

412 Regression Analysis

413 Regression Reporting

421 Plotting Diagnostics

422 Plotting a Regression

423 Combining Predictions

Day 5

Slides

5_1 Reporting with R Markdown

5_2 Outlook

Exercises

511 R Markdown

Owner

  • Name: Johannes Breuer
  • Login: jobreu
  • Kind: user
  • Location: Cologne, Germany
  • Company: GESIS - Leibniz Institute for the Social Sciences

Senior researcher at GESIS - Leibniz Institute for the Social Sciences and @CAIS-Research

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