Beginning R 4: From Beginner to Pro Contributor(s): Wiley, Matt (Author), Wiley, Joshua F. (Author) |
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ISBN: 148426052X ISBN-13: 9781484260524 Publisher: Apress
WE WILL NOT BE UNDERSOLD! Click here for our low price guarantee Binding Type: Paperback - See All Available Formats & Editions Published: October 2020 |
Additional Information |
BISAC Categories: - Computers | Mathematical & Statistical Software - Computers | Programming Languages - General - Computers | Programming - General |
Dewey: 519.502 |
Physical Information: 0.98" H x 7" W x 10" L (1.85 lbs) 467 pages |
Descriptions, Reviews, Etc. |
Publisher 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:
Who This Book Is For Programmers and data analysts who are new to R. Some prior experience in programming is recommended. |
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