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.
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