Even if you have no programming experience and little more than a grounding in the basics of mathematics, you'll find everything you need to begin using R effectively for statistical analysis in this beginner-friendly guide subtitled "A First Course in Programming and Statistics" which includes dozens of hands-on exercises, with downloadable solutions, to take you from theory to practice,.
<ASIN:1593276516>
Author: Tilman M. Davies Publisher: No Starch Press Date: July 23, 2016 Pages: 832 ISBN: 978-1593276515 Print: 1593276516 Kindle: B01J92NR22
- The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops
- Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R
- How to access R's thousands of functions, libraries, and data sets
- How to draw valid and useful conclusions from your data
- How to create publication-quality graphics of your results
Related Reviews
R in 24 Hours
Getting Started with R
Learning R
R Cookbook
R in Action
The Art of R Programming
Visit Book Watch Archive for hundreds more titles.
Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.
To have new titles included in Book Watch contact BookWatch@i-programmer.info
Practices of the Python Pro
Author: Dane Hillard Publisher: Manning Date: January 2020 Pages: 248 ISBN: 978-1617296086 Print: 1617296082 Audience: Python developers Rating: 3 Reviewer: Mike James I want to be a Python Pro....
|
HTML, CSS & JavaScript (In Easy Steps)
Author: Mike McGrath Publisher: In Easy Steps Date: July 2020 Pages: 480 ISBN: 978-1840788785 Print: 184078878X Kindle: B08FBGXGF1 Audience: would-be web developers Rating: 5 Reviewer Mike James The three core web technologies in a single book.
| More Reviews |
|