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Introduction to R for Social Scientists A Tidy Programming Approach 1st Edition by Ryan Kennedy, Philip D Waggoner ISBN 9780367460709 036746070X

Name: Introduction to R for Social Scientists A Tidy Programming Approach 1st Edition by Ryan Kennedy, Philip D Waggoner ISBN 9780367460709 036746070X
SKU: EB-34387774
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Introduction to R for Social Scientists A Tidy Programming Approach 1st Edition Ryan Kennedy Digital Instant Download

Author(s): Ryan Kennedy, Philip D. Waggoner

ISBN(s): 9780367460709, 036746070X

Edition: 1

File Details: PDF, 5.10 MB

Year: 2021

Language: English

SKU: EB-34387774 Category: Mathematics Tags: Philip D. Waggoner, Ryan Kennedy

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Introduction to R for Social Scientists A Tidy Programming Approach 1st Edition by Ryan Kennedy, Philip D Waggoner – Ebook PDF Instant Download/Delivery: 9780367460709 ,036746070X
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ISBN 10: 036746070X
ISBN 13: 9780367460709
Author: Ryan Kennedy, Philip D Waggoner

Introduction to R for Social Scientists: A Tidy Programming Approach introduces the Tidy approach to programming in R for social science research to help quantitative researchers develop a modern technical toolbox. The Tidy approach is built around consistent syntax, common grammar, and stacked code, which contribute to clear, efficient programming. The authors include hundreds of lines of code to demonstrate a suite of techniques for developing and debugging an efficient social science research workflow. To deepen the dedication to teaching Tidy best practices for conducting social science research in R, the authors include numerous examples using real world data including the American National Election Study and the World Indicators Data. While no prior experience in R is assumed, readers are expected to be acquainted with common social science research designs and terminology. Whether used as a reference manual or read from cover to cover, readers will be equipped with a deeper understanding of R and the Tidyverse, as well as a framework for how best to leverage these powerful tools to write tidy, efficient code for solving problems. To this end, the authors provide many suggestions for additional readings and tools to build on the concepts covered. They use all covered techniques in their own work as scholars and practitioners.

Introduction to R for Social Scientists A Tidy Programming Approach 1st Edition Table of contents:

1 Introduction

1.1 Why R?

1.2 Why This Book?

1.3 Why the Tidyverse?

1.4 What Tools Are Needed?

1.5 How This Book Can be Used in a Class

1.6 Plan for the Book

2 Foundations

2.1 Scripting with R

2.2 Understanding R

2.3 Working Directories

2.4 Setting Up an R Project

2.5 Loading and Using Packages and Libraries

2.6 Where to Get Help

2.7 Concluding Remarks

3 Data Management and Manipulation

3.1 Loading the Data

3.2 Data Wrangling

3.3 Grouping and Summarizing Your Data

3.4 Creating New Variables

3.5 Combining Data Sets

3.6 Basic Descriptive Analysis

3.7 Tidying a Data Set

3.8 Saving Your Data Set for Later Use

3.9 Saving Your Data Set Details for Presentation

4 Visualizing Your Data

4.1 The Global Data Set

4.2 The Data and Preliminaries

4.3 Histograms

4.4 Bar Plots

4.5 Scatterplots

4.6 Combining Multiple Plots

4.7 Saving Your Plots

4.8 Advanced Visualizations

4.9 Concluding Remarks

5 Essential Programming

5.1 Data Classes

5.2 Data Structures

5.3 Operators

5.4 Conditional Logic

5.5 User-Defined Functions

5.6 Making Your Code Modular

5.7 Loops

5.8 Mapping with purrr

5.9 Concluding Remarks

6 Exploratory Data Analysis

6.1 Visual Exploration

6.2 Numeric Exploration

6.3 Putting it All Together: Skimming Data

6.4 Concluding Remarks

7 Essential Statistical Modeling

7.1 Loading and Inspecting the Data

7.2 t-statistics

7.3 Chi-square Test for Contingency Tables

7.4 Correlation

7.5 Ordinary Least Squares Regression

7.6 Binary Response Models

7.7 Concluding Remarks

8 Parting Thoughts

8.1 Continuing to Learn with R

8.2 Where To Go from Here

8.3 A Final Word

Bibliography

Index

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Tags: Ryan Kennedy, Philip D Waggoner, R, Social Scientists, Tidy Programming