Beginning R 4: From Beginner to Pro 1st Edition – Ebook Instant Download/Delivery ISBN(s): 9781484260524, 148426052X, 9781484260531, 1484260538

Product details:

• ISBN-10: 1484260538
• ISBN-13: 9781484260531
• Author: Matt Wiley, Joshua F. Wiley
  

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 Who This Book Is For Programmers and data analysts who are new to R. Some prior experience in programming is recommended.

Table contents:

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 Distributions

8. Correlation and Regression

9. Confidence Intervals

10. Hypothesis Testing

11. Multiple Regression

12. Moderated Regression

13. Analysis of Variance

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