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Cambridge University Press - Data Analysis Using R Guide

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Description

Master statistical modeling with A Practical Guide to Data Analysis Using R: An Example-Based Approach from Cambridge University Press. This text uses diverse real-world examples to examine how models function within specific research contexts. You will learn to identify underlying assumptions and methods to check them effectively. Building on the foundation of Data Analysis and Graphics Using R, this expanded edition covers advanced topics such as cluster analysis, exponential time series, matching, seasonality, and resampling approaches. The book provides an extended look at p-values, addressing replicability issues and complex contexts like gene expression where numerous p-values exist. This guide is designed to help you develop practical intuition for data analysis through hands-on, example-driven learning.

Key Features

Cambridge University Press provides this example-based approach to help readers understand data analysis models in specific research contexts.

The text expands on previous work to include cluster analysis, exponential time series, matching, seasonality, and resampling approaches.

Learn to identify and check the assumptions that underlie various statistical analyses used in research.

Gain a deeper understanding of p-values and replicability issues, including applications in gene expression contexts.

Develop practical intuition for data science through the use of diverse real-world examples throughout the book.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 May 2024
Listed Since
26 October 2023

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