« A beginner's guide to programming with R, the statistical programming language. Covers key programming techniques like manipulating data structures, reading data from a file, and writing functions. Introduces statistics topics like probability distributions, hypothesis testing…
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The Book of R teaches statistics and programming in R for beginners.
Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R's functionality.
"A beginner's guide to programming with R, the statistical programming language. Covers key programming techniques like manipulating data structures, reading data from a file, and writing functions. Introduces statistics topics like probability distributions, hypothesis testing,…
"A beginner's guide to programming with R, the statistical programming language. Covers key programming techniques like manipulating data structures, reading data from a file, and writing functions. Introduces statistics topics like probability distributions, hypothesis testing,…
Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R's functionality. --
"A beginner's guide to programming with R, the statistical programming language. Covers key programming techniques like manipulating data structures, reading data from a file, and writing functions. Introduces statistics topics like probability distributions, hypothesis testing,…
There's nothing random about it this is the book on statistical analysis with Excel Stunned by statistics? Exhausted by Excel? Relax! Statistical Analysis with Excel For Dummies, 4th Edition shows you how to use the world's most popular spreadsheet program to crunch numbers and …
Mine valuable insights from your data using popular tools and techniques in R About This Book Understand the basics of data mining and why R is a perfect tool for it. Manipulate your data using popular R packages such as ggplot2, dplyr, and so on to gather valuable business insi…
Fundamental concepts on neural networks -- Some common neural network models -- Multivariate statistics neural network models -- Regression neural network models -- Survival analysis and other networks.
"The book begins by going over the basics of R and the tidyverse. You learn R throughout the book, but in the first part we go over the building blocks needed to keep learning during the rest of the book"--
