R All-in-One For Dummies

Häftad, Engelska, 2023

367 kr

Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

Beskrivning

A deep dive into the programming language of choice for statistics and dataWith R All-in-One For Dummies, you get five mini-books in one, offering a complete and thorough resource on the R programming language and a road map for making sense of the sea of data we're all swimming in. Maybe you're pursuing a career in data science, maybe you're looking to infuse a little statistics know-how into your existing career, or maybe you're just R-curious. This book has your back. Along with providing an overview of coding in R and how to work with the language, this book delves into the types of projects and applications R programmers tend to tackle the most. You'll find coverage of statistical analysis, machine learning, and data management with R. Grasp the basics of the R programming language and write your first lines of codeUnderstand how R programmers use code to analyze data and perform statistical analysisUse R to create data visualizations and machine learning programs Work through sample projects to hone your R coding skillThis is an excellent all-in-one resource for beginning coders who'd like to move into the data space by knowing more about R.

Produktinformation

Utgivningsdatum:2023-02-07
Mått:185 x 231 x 41 mm
Vikt:839 g
Format:Häftad
Språk:Engelska
Antal sidor:688
Förlag:John Wiley & Sons Inc
ISBN:9781119983699

Utforska kategorier

Programmeringsböcker inom Data och IT

Mer om författaren

Joseph Schmuller is a cognitive scientist and statistical analyst. His recent work in the For Dummies series includes the 5th edition of Statistical Analysis with Excel For Dummies along with Statistical Analysis with R For Dummies and R Projects For Dummies.

Innehållsförteckning

Introduction 1Book 1: Introducing R 5Chapter 1: R: What It Does and How It Does It 7Chapter 2: Working with Packages, Importing, and Exporting 37Book 2: Describing Data 51Chapter 1: Getting Graphic 53Chapter 2: Finding Your Center 93Chapter 3: Deviating from the Average 103Chapter 4: Meeting Standards and Standings 113Chapter 5: Summarizing It All 125Chapter 6: What’s Normal? 145Book 3: Analyzing Data 163Chapter 1: The Confidence Game: Estimation 165Chapter 2: One-Sample Hypothesis Testing 181Chapter 3: Two-Sample Hypothesis Testing 207Chapter 4: Testing More than Two Samples 233Chapter 5: More Complicated Testing 257Chapter 6: Regression: Linear, Multiple, and the General Linear Model 279Chapter 7: Correlation: The Rise and Fall of Relationships 315Chapter 8: Curvilinear Regression: When Relationships Get Complicated 335Chapter 9: In Due Time 359Chapter 10: Non-Parametric Statistics 371Chapter 11: Introducing Probability 393Chapter 12: Probability Meets Regression: Logistic Regression 415Book 4: Learning from Data 423Chapter 1: Tools and Data for Machine Learning Projects 425Chapter 2: Decisions, Decisions, Decisions 449Chapter 3: Into the Forest, Randomly 467Chapter 4: Support Your Local Vector 483Chapter 5: K-Means Clustering 503Chapter 6: Neural Networks 519Chapter 7: Exploring Marketing 537Chapter 8: From the City That Never Sleeps 557Book 5: Harnessing R: Some Projects to Keep You Busy 573Chapter 1: Working with a Browser 575Chapter 2: Dashboards — How Dashing! 603Index 639