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|a Wiley, Matt,
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|a Beginning R 4 :
|b from beginner to pro /
|c Matt Wiley, Joshua F. Wiley.
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264 |
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|a [Berkeley, CA] :
|b Apress,
|c [2020]
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|a 1 online resource (481 pages)
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|a Includes bibliographical references and index.
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|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 |
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|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.
|
588 |
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|a Online resource; title from digital title page (viewed on December 21, 2020).
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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|a Statistics
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|a Wiley, Joshua F.,
|e author.
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|i Print version:
|a Wiley, Matt.
|t Beginning R 4.
|d [Berkeley, CA] : Apress, [2020]
|z 9781484260524
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|u https://learning.oreilly.com/library/view/~/9781484260531/?ar
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