Introduction to R for Social Scientists : A Tidy Programming Approach (Paperback)

Preface 1. Introduction Why R? Why This Book? Why the Tidyverse? What tools are needed? How This Book Can be Used in a Class Plan for the Book 2. Foundations Scripting with R Understanding R Working directories Setting Up an R Project Loading and Using Packages and Libraries Where to Get Help Moving Forward 3. Data Management and Manipulation Loading Our Data Data Wrangling Grouping and Summarizing Your Data (and Using “the Pipe”) Creating New Variables Combining Data sets Basic Descriptive Analysis Tidying a Data Set Saving Your Data Set for Later Use Saving Your Data Set Details for Presentation 4. Visualizing Your Data The Global Data Set The Data and Preliminaries Histograms Bar Plots Scatterplots Combining Multiple Plots Saving Your Plots Advanced Visualizations Parting Thoughts More Resources 5. Essential Programming Data Classes Data Structures Operators Conditional Logic User-Defined Functions Making your Code Modular Loops The map_*() Family from purrr Concluding Remarks 6. Exploratory Data Analysis Visual Exploration Numeric Exploration Putting it All Together: Skimming Data Concluding Remarks 7. Essential Statistical Modeling Loading and Inspecting the Data t-statistics Chi-square Test for Contingency Tables Correlation Ordinary Least Squares Regression Binary Response Models Parting Thoughts 8. Parting Thoughts Continuing to Learn with R Where To Go From Here Final Thought