There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis …
This book is the revised and extended second edition of Statistics for Linguistics with R. The comprehensive revision includes new …
This is the third, newly revised and extended edition of this successful book (that has already been translated into three …
Neil J. Salkind’s bestselling Statistics for People Who (Think They) Hate Statistics has been helping ease student anxiety around an …
A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based …
The first textbook of its kind, Quantitative Corpus Linguistics with R demonstrates how to use the open source programming language …
This textbook examines empirical linguistics from a theoretical linguist’s perspective. It provides both a theoretical discussion of what quantitative corpus …
A Guide to Doing Statistics in Second Language Research Using SPSS and R, Second Edition is the only text available …
Turn your R code into packages that others can easily download and use. This practical book shows you how to …
The goal of this guide and manual is to provide a practical and brief overview of the theory on computerized …
Turn your R code into packages that others can easily install and use. With this fully updated edition, developers and …
In this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to …
Learn the ropes of supervised machine learning with R by studying popular real-world use-cases, and understand how it drives object …
This practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the …
R is an Open Source implementation of the well-known S language. It works on multiple computing platforms and can be …
R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely …
R, a free and open source program, is one of the most powerful and the fastest-growing statistics program. Microsoft Excel …
Get valuable insights from your data by building data analysis systems from scratch with R.About This BookA handy guide to …
Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or …
Models can be used in almost any domain for purposes including prediction, inference, or simply describing data. In all these …
If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to …
Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how …
Master functions and discover how to write functional programs in R. In this book, updated for R 4, you'll learn …
Discover over 80 recipes for modeling and handling real-life biological data using modern libraries from the R ecosystemKey Features Apply …
