• 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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