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Springer R Programming: Statistical Data Analysis in Research

Amazon

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Description

Master statistical data analysis using R with this comprehensive guide from Springer. Designed for researchers and students who need to develop practical programming skills, this book bridges the gap between statistical theory and real-world implementation. Whether you're working with datasets for academic research, conducting empirical studies, or building data-driven models, R provides the essential tools and flexibility required for modern statistical work. This resource covers fundamental programming concepts alongside advanced analytical techniques, enabling you to efficiently manage, analyse, and visualise complex datasets. The Springer publication combines clear explanations with practical examples, making it suitable for both beginners stepping into statistical programming and experienced analysts seeking to deepen their R expertise for research applications.

Key Features

R Programming covers statistical data analysis methods essential for academic and research-focused computing projects.

Published by Springer, a trusted academic publisher specialising in technical and scientific educational materials.

Suitable for introduction to programming learners who need statistical analysis capabilities for research work.

Combines theoretical statistical concepts with practical R implementation for real-world data analysis scenarios.

Addresses both foundational programming skills and advanced techniques within the Computing and Internet programming category.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
08 July 2025
Listed Since
31 July 2025

Barcode

No barcode data available

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