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Chapman & Hall/CRC The R Series


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Spatial Data Science With Applications in R

Spatial Data Science: With Applications in R

1st Edition

Forthcoming

By Edzer Pebesma, Roger Bivand
May 01, 2023

Spatial Data Science introduces fundamental aspects of spatial data that every data scientist should know before they start working with spatial data. These aspects include how geometries are represented, coordinate reference systems (projections, datums), the fact that the Earth is round and its ...

Deep Learning and Scientific Computing with R torch

Deep Learning and Scientific Computing with R torch

1st Edition

Forthcoming

By Sigrid Keydana
April 18, 2023

torch is an R port of PyTorch, one of the two most-employed deep learning frameworks in industry and research. It is also an excellent tool to use in scientific computations. It is written entirely in R and C/C++. Though still "young" as a project, R torch already has a vibrant community of users ...

Tidy Finance with R

Tidy Finance with R

1st Edition

Forthcoming

By Christoph Scheuch, Stefan Voigt, Patrick Weiss
April 05, 2023

This textbook shows how to bring theoretical concepts from finance and econometrics to the data. Focusing on coding and data analysis with R, we show how to conduct research in empirical finance from scratch. We start by introducing the concepts of tidy data and coding principles using the ...

Analyzing US Census Data Methods, Maps, and Models in R

Analyzing US Census Data: Methods, Maps, and Models in R

1st Edition

Forthcoming

By Kyle Walker
January 16, 2023

Census data are widely used by practitioners to understand demographic change, allocate resources, address inequalities, and make sound business decisions. Until recently, projects using US Census data have required proficiency with multiple web interfaces and software platforms to prepare, map, ...

A Criminologist's Guide to R Crime by the Numbers

A Criminologist's Guide to R: Crime by the Numbers

1st Edition

Forthcoming

By Jacob Kaplan
December 15, 2022

A Criminologist's Guide to R: Crime by the Numbers introduces the programming language R and covers the necessary skills to conduct quantitative research in criminology. By the end of this book, a person without any prior programming experience can take raw crime data, be able to clean it, ...

ANOVA and Mixed Models A Short Introduction Using R

ANOVA and Mixed Models: A Short Introduction Using R

1st Edition

By Lukas Meier
November 04, 2022

ANOVA and Mixed Models: A Short Introduction Using R provides both the practitioner and researcher a compact introduction to the analysis of data from the most popular experimental designs. Based on knowledge from an introductory course on probability and statistics, the theoretical foundations of ...

Spatial Sampling with R

Spatial Sampling with R

1st Edition

By Dick J. Brus
September 26, 2022

Scientific research often starts with data collection. However, many researchers pay insufficient attention to this first step in their research. The author, researcher at Wageningen University and Research, often had to conclude that the data collected by fellow researchers were suboptimal, or in ...

Outstanding User Interfaces with Shiny

Outstanding User Interfaces with Shiny

1st Edition

By David Granjon
August 31, 2022

Outstanding User Interfaces with Shiny provides the reader with necessary knowledge to develop beautiful and highly interactive user interfaces. It gives the minimum requirements in HTML/JavaScript and CSS to be able to extend already existing Shiny layouts or develop new templates from scratch. ...

Rasch Measurement Theory Analysis in R

Rasch Measurement Theory Analysis in R

1st Edition

By Stefanie Wind, Cheng Hua
June 03, 2022

Rasch Measurement Theory Analysis in R provides researchers and practitioners with a step-by-step guide for conducting Rasch measurement theory analyses using R. It includes theoretical introductions to major Rasch measurement principles and techniques, demonstrations of analyses using several R ...

R for Political Data Science A Practical Guide

R for Political Data Science: A Practical Guide

1st Edition

By Francisco Urdinez, Andres Cruz
May 30, 2022

R for Political Data Science: A Practical Guide is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret and analyze political data. It was written by political scientists, thinking about the many real-world problems faced in their work. The ...

Behavior Analysis with Machine Learning Using R

Behavior Analysis with Machine Learning Using R

1st Edition

By Enrique Garcia Ceja
November 26, 2021

Behavior Analysis with Machine Learning Using R introduces machine learning and deep learning concepts and algorithms applied to a diverse set of behavior analysis problems. It focuses on the practical aspects of solving such problems based on data collected from sensors or stored in electronic ...

Event History Analysis with R

Event History Analysis with R

2nd Edition

By Göran Broström
November 11, 2021

With an emphasis on social science applications, Event History Analysis with R, Second Edition, presents an introduction to survival and event history analysis using real-life examples. Since publication of the first edition, focus in the field has gradually shifted towards the analysis of large ...

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