R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics by JD Long, Paul Teetor
- R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics
- JD Long, Paul Teetor
- Page: 600
- Format: pdf, ePub, mobi, fb2
- ISBN: 9781492040682
- Publisher: O'Reilly Media, Incorporated
Ebooks for mobile phones download R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics iBook 9781492040682
With more than 275 practical recipes, this expanded edition helps you perform data analysis with R quickly and efficiently. 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 other 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
Statistical tools for high-throughput data analysis - STHDA
Regression with Categorical Variables: Dummy Coding Essentials in R R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics
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R Data Visualization Recipes: A cookbook with 65+ data
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R Cookbook: Proven Recipes for Data Analysis, Statistics, and
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R Cookbook : Proven Recipes For Data Analysis, Statistics, And
These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and
R Cookbook: Proven Recipes for Data Analysis, Statistics, and
R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics - Ebook written by Paul Teetor. Read this book using Google Play Books app on your
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Editorial Reviews. About the Author. Paul Teetor is a quantitative developer with Masters R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'reilly Cookbooks) 1st Edition, Kindle Edition. by
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