Book of R, 2nd Edition

Regular price €84.99
Quantity:
Ships in 10-20 days
Delivery/Collection within 10-20 working days
Shipping & Delivery
A01=Tilman M. Davies
algorithm
algorithms
art of r programming
Author_Tilman M. Davies
behavioral economics
book of r
Category=UM
clean code
code
coding
coding for beginners
computer
computer programming
computers
data
data analysis
data analytics
data science
data structures
data visualization
econometrics
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_new_release
eq_nobargain
eq_non-fiction
learn programming
learn R
linear regression
machine learning with r
math
math book
math books
mathematics
maths
modeling
numbers
practical sql
probability
programming
programming language
python crash course
r language
r programming
statistical analysis
statistical programming
statistics
statistics with r
storytelling with data
tech
technology

Product details

  • ISBN 9781718503687
  • Dimensions: 179 x 234mm
  • Publication Date: 25 Nov 2025
  • Publisher: No Starch Press,US
  • Publication City/Country: US
  • Product Form: Paperback
Secure checkout Fast Shipping Easy returns
Even if you have no programming experience and little more than a grounding in basic math, The Book of R, 2nd Edition will teach you everything you need to know for using R effectively in statistical analysis. You'll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data, performing statistical tests, and modelling. You'll also learn how to create impressive data visualizations with R's graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Over 30 of hands-on exercises (with downloadable solutions) take you from theory to practice, as you explore: the fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops; statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R; how to access R's thousands of functions, libraries, and data sets, and how to draw valid and useful conclusions from your data How to create publication-quality graphics of your results.
Tilman M. Davies is an academic at the Department of Mathematics and Statistics at the University of Otago in New Zealand, where he teaches statistics at all university levels. He has been programming in R since the early 2000s and uses it in all of his courses. Davies has received multiple significant research grants for his methodological work in spatial statistics and in 2024 received the Littlejohn Award, the premier research award of the New Zealand Statistical Association.

More from this author