Publications by Prof. Tim Fraser
Lab: Testing the Fukushima Effect on Japanese Elections
Module 5: Inferential Statistics Lab 5: Testing the Fukushima Effect on Japanese Elections Module 5: Inferential Statistics Background and Instructions Task 1: Load and filter your data. Task 2: Disaster Effects in 2011 Task 2.1: The Fukushima Effect Task 2.2: The Exclusion Zone Effect Task 2.3: The Tsunami Effect Task 3: Disaster Effects in ...
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Workshop 5: Learning Inferential Statistics
Module 5: Inferential Statistics Workshop 5: Learning Inferential Statistics! Module 5: Inferential Statistics 0. Packages Task 1: Difference of Means Learning Check 1: Task 2: Crosstabulation and the Chi-squared statistic Learning Check 2: Task 3. Correlation Learning Check 3: Learning Check 4: Synthesis Moment! Learning Check 5: Synthesi...
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Mapping Raster Data in the Tidyverse
Mapping Raster Data in the Tidyverse A Brief Tutorial Mapping Raster Data in the Tidyverse Introduction 1. Data Preparations 1.1 Load Packages 1.2 Download raster data 1.3 Import Raster Data 2. Geographic Boundaries 2.1 Making a Buffer 2.2 Selecting Locations within the Buffer 2.3 Importing our Polygons 3. Making a Fishnet Grid 3.1 Make th...
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Simulation in Zelig: How it Works
Simulation in Zelig: How it Works A Brief Tutorial on Social Capital and Germany Renewable Energy Simulation in Zelig: How it Works 1. Loading Packages 1.2 Import Data 1.3 Model Data 2. How Zelig Works 3. Normal Prediction 3.1 Statistics Assemble! 3.2 Normal Predicted Values 4. Simulation 4.1 Simulate Outcomes 4.2 Simulate Predicted Values...
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Using Difference-in-Differences Models for Environmental Social Science
Using Difference-in-Differences Models for Environmental Social Science How Interaction Models can help us work with Data over Time Using Difference-in-Differences Models for Environmental Social Science Introduction 1. Running your models in R with the Tokyo Emissions Dataset 1.1 Load Packages 1.2 Import Data 1.3 Format Data 1.4 Explore Data ...
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Importing and Tidying Data in R
Module 4: Enter the Tidyverse Workshop 4: Importing and Tidying Data Module 4: Enter the Tidyverse 0. Load Packages 1. Importing Data 1.1. Loading Data from a Package Learning Check 1.1 1.2. Loading Data from a Spreadsheet Online Learning Check 1.2 1.3. Loading data from a Spreadsheet file Learning Check 1.3 2. Tidying Data 2.1 Identifying L...
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Visualizing Predictions in R
Visualization Predictions in R A Brief Tutorial using Solar Farm Adoption in Germany Visualization Predictions in R 0. Introduction 1. Running your model in R 1.1 Load Packages 1.2 Import Data 1.3 Model Data 2. Using the predict() function 3. Using the ggpredict() function 4. Using Zelig 5. Using First Differences 5.1 Simulating First Differ...
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15 Ways to Visualize Regression Results
15 Ways to Visualize Regression Results! 15 Ways to Visualize Regression Results! 1. Introduction 1.1 Statistical Simulation 1.2 Our packages 1.3 Our data 1.4 Format Data 1.5 A basic model 2. Visualizations 2.1 Ribbon Plot of Expected Values 2.2 Scatterplot of Expected Values 2.3 Line Plot of Expected Values, by Percentile 2.4 Ribbon Plot by...
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Matching Experiments for Disaster Social Science
Matching Experiments for Disaster Social Science A Brief Tutorial on COVID19 Test Positivity Rates Matching Experiments for Disaster Social Science 1. Matching 2. Application 2.1 Data 2.2 Treatment Variable 2.3 Match by Matching Covariates 2.4 Compare Matching Covariates before and After Matching 2.5 Descriptives 2.6 Model the Matched Sample 2...
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Importing and Tidying Data in R (Student Version)
Module 4: Enter the Tidyverse Workshop 4: Importing and Tidying Data Module 4: Enter the Tidyverse 0. Load Packages 1. Importing Data 1.1. Loading Data from a Package Learning Check 1.1 1.2. Loading Data from a Spreadsheet Online Learning Check 1.2 1.3. Loading data from a Spreadsheet file Learning Check 1.3 2. Tidying Data 2.1 Identifying L...
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