“A core element of HR analytics is statistical analysis properly applied to data about people and HR processes. This essential book provides a uniquely valuable contribution for practitioners working in HR analytics: practical case studies that apply the correct multivariate models coupled with the code needed to run your own analyses.” ― Alec Levenson, Senior Research Scientist, Center for Effective Organizations, Marshall School of Business, University of Southern California

“Using R in HR Analytics is a powerful guide for anyone seeking to unlock the full potential of R software to generate impactful HR insights. Kirsten, Martin, and Daisung masterfully provide end-to-end worked examples of common HR challenges, making complex concepts both accessible and practical. A must-read for anyone aiming to elevate their HR analytics game.” ― Greg Newman, People Analytics – Human Capital, Deloitte Consulting Pty Ltd

“Once again, Edwards, Edwards and Jang have enriched the burgeoning field of people analytics with Using R in HR Analytics. Having a version of their hugely successful Predictive HR Analytics book that is dedicated to R users extends the potential for a wider group of students and professionals to embrace the field. As such, Using R in HR Analytics is an important book for the future and continued growth of people analytics.” ― David Green, Managing Partner at Insight222, co-author of Excellence in People Analytics, host of the Digital HR Leaders podcast

Kirsten Edwards is HR Lead for Advanced Analytics and Data Science at Rio Tinto and has over 20 years’ broad international experience in analytics, HR and management consulting. She is a visiting lecturer at Kent Business School and at King’s Business School.

Daisung Jang is an Assistant Professor at Melbourne Business School. He has over a decade of experience in data visualization and analysis using R. He has conducted workshops for PhD students and academic staff on statistical analyses using R.