Name: R for Non-Programmers (en Inglés)
SKU: 64397189
Price: 73.98 USD
Availability: InStock
Author: Daniel Dauber

portada R for Non-Programmers (en Inglés)

Formato

Libro Físico

Editorial

Crc Pr Inc

Autor

Daniel Dauber

Idioma

Inglés

N° páginas

384

Encuadernación

Tapa Blanda

ISBN13

9781032780146

R for Non-Programmers (en Inglés)

Daniel Dauber (Autor) · Crc Pr Inc · Tapa Blanda

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Reseña del libro "R for Non-Programmers (en Inglés)"

Unlock the Power of Data Analysis with RWhether you are a researcher, student, or professional new to programming, this book provides a step-by-step guide to mastering R for quantitative and mixed-methods analysis. Designed for those who still need to gain program- ming experience or wish to learn a new one, it demystifies data analysis, helping you tackle challenges from data wrangling to statistical modelling. Packed with practical examples, engaging explanations, and real-world applications, this book equips you with the tools to analyse data confidently, identify trends, and uncover meaningful insights.Transform Your Approach to ResearchThrough clear instructions and hands-on exercises, you will learn to prepare datasets, explore patterns with descriptive statistics, and create impactful visualisations. You will also gain confidence in performing statistical tests such as comparing groups and building predictive models using regression techniques. This book provides strategies and tools to streamline your workflow, whether handling large datasets, managing missing data, or conducting mixed-methods research.Each chapter builds your expertise incrementally, supported by accessible examples and interactive online training. The accompanying training modules, available through the book's companion package, offer engaging exercises and extended examples to reinforce learning. These features enable you to practise skills and retain knowledge more effectively.This book, which strongly focuses on reproducible research, is an indispensable guide for anyone looking to enhance their analytical toolkit and unlock R's full potential for data analysis and statistical modelling.