Beginning R 4 : from beginner to pro
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Format
Language
English
ISBN
9781484260531, 1484260538
UPC
10.1007/978-1-4842-6053-1
Notes
Bibliography
Includes bibliographical references and index.
Description
Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data import settings for text (as well as the statistical methods to model text-based, categorical data). Each chapter starts with a list of learning outcomes and concludes with a summary of any R functions introduced in that chapter, along with exercises to test your new knowledge. The text opens with a hands-on installation of R and CRAN packages for both Windows and macOS. The bulk of the book is an introduction to statistical methods (non-proof-based, applied statistics) that relies heavily on R (and R visualizations) to understand, motivate, and conduct statistical tests and modeling. Beginning R 4 shows the use of R in specific cases such as ANOVA analysis, multiple and moderated regression, data visualization, hypothesis testing, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done. You will: Acquire and install R and RStudio Import and export data from multiple file formats Analyze data and generate graphics (including confidence intervals) Interactively conduct hypothesis testing Code multiple and moderated regression solutions.
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O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Wiley, M., & Wiley, J. F. (2020). Beginning R 4: from beginner to pro . Apress.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Wiley, Matt and Joshua F., Wiley. 2020. Beginning R 4: From Beginner to Pro. [Berkeley, CA]: Apress.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Wiley, Matt and Joshua F., Wiley. Beginning R 4: From Beginner to Pro [Berkeley, CA]: Apress, 2020.
Harvard Citation (style guide)Wiley, M. and Wiley, J. F. (2020). Beginning R 4: from beginner to pro. [Berkeley, CA]: Apress.
MLA Citation, 9th Edition (style guide)Wiley, Matt,, and Joshua F. Wiley. Beginning R 4: From Beginner to Pro Apress, 2020.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
beb82899-aed5-ee34-fc6e-67e95eac1d36-eng
Grouping Information
| Grouped Work ID | beb82899-aed5-ee34-fc6e-67e95eac1d36-eng |
|---|---|
| Full title | beginning r 4 from beginner to pro |
| Author | wiley matt |
| Grouping Category | book |
| Last Update | 2025-01-24 12:33:29PM |
| Last Indexed | 2025-02-07 03:27:32AM |
Book Cover Information
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|---|---|
| First Loaded | Jan 15, 2025 |
| Last Used | Jan 15, 2025 |
Marc Record
| First Detected | Dec 16, 2024 11:14:30 PM |
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| Last File Modification Time | Dec 17, 2024 08:14:25 AM |
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| 505 | 0 | |a 1: Installing R -- 2: Installing Packages and Using Libraries -- 3: Data Input and Output -- 4: Working with Data -- 5: Data and Samples -- 6: Descriptive Statistics -- 7: Understanding Probability and Distribution -- 8: Correlation and Regression -- 9: Confidence Intervals -- 10: Hypothesis Testing -- 11: Multiple Regression -- 12: Moderated Regression -- 13: Analysts of Variance -- Bibliography. | |
| 520 | |a Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data import settings for text (as well as the statistical methods to model text-based, categorical data). Each chapter starts with a list of learning outcomes and concludes with a summary of any R functions introduced in that chapter, along with exercises to test your new knowledge. The text opens with a hands-on installation of R and CRAN packages for both Windows and macOS. The bulk of the book is an introduction to statistical methods (non-proof-based, applied statistics) that relies heavily on R (and R visualizations) to understand, motivate, and conduct statistical tests and modeling. Beginning R 4 shows the use of R in specific cases such as ANOVA analysis, multiple and moderated regression, data visualization, hypothesis testing, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done. You will: Acquire and install R and RStudio Import and export data from multiple file formats Analyze data and generate graphics (including confidence intervals) Interactively conduct hypothesis testing Code multiple and moderated regression solutions. | ||
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