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Using R for Statistics
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Using R for Statistics will get you the answers to most of the problems you are likely to encounter when using a variety of statistics.
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What Stands Out
Detajet e produktit
- A problem-solution primer for using R to handle data and perform a wide array of statistical tests
- Covers navigating the R system, entering/importing data, manipulating datasets, calculating summary statistics, creating statistical plots, customizing their appearance, performing hypothesis tests, and building regression models
- Provides examples based on real datasets to simulate real-world solutions
- Explains programming basics for those without a development background
- Suitable for individuals with no prior knowledge of R or programming, but some experience with statistics is recommended
- Intended to help users comfortably apply R to specific statistical analyses or hypothesis tests
| Publisher | Apress |
| Publication date | June 21, 2014 |
| Edition | First Edition |
| Language | English |
| Print length | 260 pages |
| ISBN-10 | 148420140X |
| ISBN-13 | 978-1484201404 |
| Item Weight | 1 pounds (450 grams) |
| Dimensions | 7.01 x 0.55 x 10 inches (17.8 x 1.4 x 25.4 cm) |
Who Should Buy?
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Statistics Students
Ideal for undergraduate and graduate students learning statistics, helping them understand concepts through practical data examples in R.
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Data Analysts
Provides a comprehensive guide for data analysts seeking to enhance their statistical analysis skills using R programming.
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Researchers
Beneficial for researchers in various fields who need to perform statistical analyses efficiently with R for data-driven decisions.
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Beginners in Programming
May overwhelm those without prior programming experience, as it assumes some familiarity with coding concepts and R syntax.
PËRSHKRIMI I PRODUKTIT
Using R for Statistics
About This Item
Are you looking to harness the power of R for statistical analysis? Look no further than our comprehensive guide, "Using R for Statistics 1st ed. Edition". This book is a must-have for students, researchers, and professionals in the field of data analysis. Whether you are new to statistical analysis or looking to expand your skills, "Using R for Statistics" covers all the crucial concepts and techniques you need to know.
From basic statistical theory to advanced methods, this book is your ultimate resource for mastering R and applying it to real-world scenarios. With a focus on practical application, this book takes you through the entire data analysis process, from data cleaning and preparation to visualization and interpretation. We provide step-by-step examples and exercises to help you practice and reinforce your understanding of statistical concepts. "Using R for Statistics" also delves into specialized topics like machine learning, big data analytics, and time series analysis. Whether you are interested in predictive modeling or experimental design, this book has got you covered. So, why choose "Using R for Statistics 1st ed.
Edition"? Here are some key highlights: 1. Clear explanations and examples: Our book breaks down complex statistical concepts into easy-to-understand language. We provide real-world examples and case studies to illustrate how R can be used for different types of data analysis. 2.
Hands-on practice: Each chapter includes exercises and datasets for you to practice what you've learned. This interactive approach helps solidify your knowledge and builds your confidence in using R for statistical analysis. 3. Comprehensive coverage: "Using R for Statistics" covers a wide range of statistical techniques and methods.
Whether you are interested in regression analysis, multivariate analysis, or experimental design, we provide detailed explanations and examples to guide you. 4. Practical tips and tricks: Throughout the book, we share practical tips and tricks that we have learned from our own experience in data analysis. These insights will help you navigate common challenges and make the most out of R for statistical analysis. Don't miss out on the opportunity to enhance your statistical analysis skills with "Using R for Statistics 1st ed.
Edition". Order your copy today and take your data analysis to the next level.
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Software Development Editorial Review
Using R for Statistics is a comprehensive guide published by Apress on June 21, 2014, spanning 260 pages. This book serves as a great introduction for those new to R, with clear explanations suited for both senior and graduate students studying data analysis. Many users find it beneficial for grasping essential data manipulation techniques, although some mention that the indexing could be improved for quicker navigation. It's particularly effective for learning from the command line, but the consensus suggests that using RStudio might enhance the overall experience. Readers will appreciate its practical approach, especially when paired with prepared datasets from instructors.
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Bëj vlerësim për këtë produkt
Ndaji mendimet me klientë të tjerë
Pro
- Clear explanations for R beginners
- Useful for data manipulation techniques
- Great for classroom settings
- Helpful even for experienced users
- Compact design with substantial content
Kundër
- Index could be better for quick reference
Product Price History
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Karakteristikat dhe Përfitimet
- Problem-solution primer for using R in statistics
- Walks through R basics and statistical operations
- Navigate R system, import/manipulate data, calculate summary stats
- Perform hypothesis tests and build regression models
- Examples with real-world datasets
- Suitable for beginners with no prior knowledge of R or programming
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