Quantatitive Social Science: The R Tidyverse Code
Jeffrey B. Arnold
2018-06-12
Preface
This is tidyverse R code to supplement the book, Quantitative Social Science: An Introduction, by Kosuke Imai.
The R code included with the text of QSS and the supplementary materials relies mostly on base R functions. This translates the code examples provided with QSS to tidyverse R code. Tidyverse refers to a set of packages (ggplot2, dplyr, tidyr, readr, purrr, tibble, and a few others) that share common data representations, especially the use of data frames for return values.
This is not a complete introduction to R and the tidyverse. I suggest pairing it with R for Data Science by Hadley Wickham and Garrett Grolemond.
These materials are supplement to replace the existing QSS code with the tidvyerse dialect of R. Thus it does not replicate the substantive material, and not meant to be used independently of the QSS text. However, the provided code is not merely a translation of the QSS code. It often uses the topics in QSS to delve deeper into data science, data visualization, and computational topics.
I wrote this code while teaching course that employed both texts in order to make the excellent examples and statistical material in QSS more compatible with the modern data science using R approach in R4DS.
Colophon
To install the R packages used in this work run the following code, installs the qsstidy package which contains no code or data, but will install the needed dependencies.
install.packages("devtools")
install_github("jrnold/qss-tidy")Additionally, the gganimate package requires installing ffmpeg with libvpx support.
The source of the book is available here and was built with versions of packages below:
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