Introduction to R for Social Scientists A Tidy Programming Approach

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Synopsis

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.
 

Book details

Series:
Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
Author:
Ryan Kennedy, Philip D. Waggoner
ISBN:
9781000353853
Related ISBNs:
9780367460709, 9781003030669, 9780367460723
Publisher:
CRC Press
Pages:
198
Reading age:
Not specified
Includes images:
No
Date of addition:
2021-02-11
Usage restrictions:
Copyright
Copyright date:
2021
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Mathematics and Statistics, Nonfiction