R Cookbook for Data Analysis, Statistics & Graphics by Teetor & Long - 2019 Paperback-image
R Cookbook for Data Analysis, Statistics & Graphics by Teetor & Long - 2019 Paperback-image

R Cookbook for Data Analysis, Statistics & Graphics by Teetor & Long - 2019 Paperback

$ 14.1

Language: English Edition Number: 2 Illustrated: Yes Item Length: 9.4 in Intended Audience: Scholarly & Professional brand: O'reilly Media, Incorporated Subject: Data Modeling & Design, Mathematical & Statistical Software, Probability & Statistics / General, Programming / Open Source Number of Pages: 500 Pages ISBN-10: 1492040681 Subject Area: Mathematics, Computers Publisher: O'reilly Media, Incorporated Item Height: 1.2 in Publication Year: 2019 Item Weight: 36.1 Oz Format: Trade Paperback Item Width: 7.6 in LC Classification Number: QA276.45.R3 gtin13: 9781492040682 Dewey Decimal: 519.502855133 LCCN: 2020-301350 Type: Textbook Publication Name: R Cookbook : Proven Recipes for Data Analysis, Statistics, and Graphics Dewey Edition: 23 Synopsis: Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an intermediate user, this book will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform basic functions Simplify data input and output Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data ISBN-13: 9781492040682 Author: Paul Teetor, J. D. Long

Description

  1. This R Cookbook is a lifesaver for data analysis! Packed with clear, practical recipes, it makes complex tasks feel simple. Whether you're a beginner or an experienced R user, the step-by-step examples save time and frustration. The explanations are concise yet thorough, and the real-world applications are incredibly helpful. A must-have reference for anyone working with R—highly recommended!

    Miguel27c4d6

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