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- Series: Sams the Teach Yourself
- Paperback: 624 Pages
- Publisher: Sams Publishing; 1 Edition (January 1, 2016)
- ! Language: English
- 10-the ISBN: 0,672,338,483
- 13-ISBN: 978-0672338489
With the open source R programming language and its immense library of packages, you can perform virtually any data analysis task. Now, in just 24 lessons of one hour or less, you can learn all the skills and techniques you'll need to import, manipulate, summarize, model, and plot data with R, formalize analytical code; and build powerful R packages using current best practices Each short, easy lesson builds on all that's come before: you'll learn all of R's essentials as you create real. . R solutions R in 24 hours, Sams Teach Yourself covers the entire data analysis workflow from the viewpoint of professionals whose code must be efficient, reproducible and suitable for sharing with others You'll learn all this, and much more.:
· The Installing and Configuring at The R & lt Environment
· Creating SINGLE-MODE and Multi-MODE Data Structures
· Working the with a dates, Times, and Factors
· the Using Common R & lt Functions, and Writing your own
· Importing, Exporting, Manipulating, and Transforming Data
· Handling Data More Efficiently, and Writing More Efficient R & lt code
· the Plotting Data the with ggplot2 and the Lattice Graphics
· Building at The MOST Common types of R & lt Models
· Building High-at Quality Packages Standard Package, both Simple and Complex - Complete the with Data and Documentation
· Writing R & lt classes: S3, S4, and Beyond
· R & lt to the Using the Generate Automated Reports
· Building the with Shiny Web Applications
- Contents
HOUR 1 at The R & lt Community Community2 at The R & lt Environment
3 Single-Mode the Data Structures
4 the Multi-Mode the Data Structures
5 Dates, Times and Factors .
6 the Common R & lt Utility Functions .
7 Writing Functions: Part the I .
8 Writing Functions: Part II .
9 Loops and Summaries
10 Importing and Exporting .
11 the Data Manipulation and Transformation
12 the Efficient the Data Handling in R & lt
13 Graphics
14 at The ggplot2 Package Penalty for for Graphics
15 the Lattice Graphics
16 Introduction to R & lt Models and Object Orientation
17 the Common R & lt Models
18 Code Efficiency
19 Package Penalty for Building
20 Advanced Package Penalty for Building
21 Writing R & lt the Classes
22 Formal Systems Class
23 the Dynamic the Reporting
24 Building the with the Web the Applications Shiny
APPENDIX the Installation Index
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