R in Action, 3rd Ed (Manning)
Monday, 30 May 2022

This guide smooths R’s steep learning curve with practical solutions and real-world applications for commercial environments. In this revised and expanded third edition, Dr. Robert I. Kabacoff provides fresh coverage of the new tidyverse approach to data analysis and R’s state-of-the-art graphing capabilities with the ggplot2 package.

<ASIN:1617296058>

The examples cover real-world data challenges, including forecasting, data mining, and dynamic report writing. This revised third edition adds new coverage for graphing with ggplot2, along with examples for machine learning topics like clustering, classification, and time series analysis.

Author: Dr. Robert I. Kabacoff
Publisher: Manning
Date: May 2022
Pages: 656
ISBN: 978-1617296055
Print: 1617296058
Kindle: B09X633939
Audience: R programmers
Level: Intermediate/Advanced
Category: Data Science 

rinaction3

 

  • Set up and install R and RStudio   
  • Clean, manage, and analyze data with R
  • Use the ggplot2 package for graphs and visualizations
  • Solve data management problems using R functions
  • Fit and interpret regression models
  • Test hypotheses and estimate confidence
  • Simplify complex multivariate data with principal components and exploratory factor analysis
  • Make predictions using time series forecasting
  • Create dynamic reports and stunning visualizations
  • Techniques for debugging programs and creating packages

 

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