Statistics (the Easier Way) with R: An Informal Test on Statistics and Data Science

by Nicole M. Radziwill

** TIDYVERSION** Designed for beginning and intermediate data scientists, graduate students starting research, undergraduate students taking a first or second applied statistics class, quality improvement professionals, and consultants, this unique book provides an integrated treatment of statistical inference techniques in data science using the R Statistical Software. Each technique is framed within an easy-to-apply 7 Step methodology, and tidyverse packages ggplot, dplyr, and magrittr are emphasized.

539 pages, Paperback

Published April 20, 2019

Reviews

[Mike Harris · Rating 3 out of 5]

This book does a decent job of going over basic statistics and how to use them in research using R. I wish I could rate it higher but there are lots of mistakes in the text. You can tell a lot of the text was copied and pasted which makes each section readable by itself but leads to lots of errors (wrong data sets and values being referenced). For the most part the code is readable and runable but there are cases were the copy and paste effects the code too.

Good book to learn statistics using R but it has a lot of errors in the text.