£86.76

Columbia University Press A Primer in Biological Data Analysis and Visualization Using R

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Description

Master the essential skills of biological data analysis with this practical introduction to R, the most widely used open-source statistical and programming environment in the life sciences. Written by Gregg Hartvigsen, an experienced biostatistics educator, this lab-oriented textbook guides students through the complete workflow of entering, organising, computing, and visualising biological data using R and RStudio. Whether you're new to programming or seeking to deepen your statistical analysis capabilities, this hands-on guide provides clear instruction on data management techniques, statistical methods for biological research, and creating publication-quality visualisations. Ideal for undergraduates and early-career researchers, the text bridges theory and practice with real-world examples and exercises designed for life science applications. Columbia University Press delivers a comprehensive resource that transforms raw data into meaningful biological insights through systematic, reproducible analytical workflows.

Key Features

Columbia University Press publication covering R fundamentals and RStudio workflows for life science students and researchers.

Practical lab-oriented approach that teaches correct data entry, organisation, and analysis techniques for biological statistics.

Comprehensive instruction on creating histograms and other visualisations to communicate biological data effectively.

Open-source R environment guidance enabling reproducible, accessible statistical analysis without expensive commercial software.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
29 June 2021
Listed Since
31 October 2020

Barcode

No barcode data available

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