BASICS OF R
Basic R Packages
R Is the Most Worthwhile Programming Language to Learn
Installation of Different Versions of R
fortunes: Records the Wisdom of R
Using formatR to Format Codes Automatically
Multiuser Online Collaboration of R Development: RStudio Server
Foolproof Programming of R and JSON
High-Quality Graphic Rendering Library of R Cairo
A Peculiar Tool Set: caTools
Basic Packages of Time Series
Basic Time Series Library of R: zoo
Extensible Time Series: xts
Visualization of Time Series: plot.xts
Performance Monitoring Packages of R
Local Cache Tool of R: memoise
Performance Monitoring Tool of R: Rprof
Performance Visualization Tool of R: Lineprof
R SERVER
Cross-Platform Communication of R
Cross-Platform Communication between Rserve and Java
Rsession Makes It Easier for Java to Call R
High-Speed Channel between R and rJava
Cross-Platform Communication between Node.js and R
Server Implementation of R
A Detailed Elaboration of the Server Program of R: Rserve
The Client of Rserve in R: RSclient
An R Program Running on the Web: FastRWeb
Building a WebSocket Server by R
DATABASE AND BIG DATA
Database and NoSQL
Programming Guidance for the RMySQL Database
Connecting R with NoSQL: MongoDB
Connecting R with NoSQL: Redis
Connecting R with NoSQL: Cassandra
Connecting R with NoSQL: Hive
Extract Reverse Repurchase Information from Historical Data Using RHive
RHadoop
R Has Injected Statistical Elements into Hadoop
Installation and Use of RHadoop
RHadoop Experiment: Count the Times of the Appearance of Certain E-Mail Addresses
Implement the Collaborative Filtering Algorithm by RHadoop Based on MapReduce
Installation and Use of RHBase
Solve the Installation Error of RHadoop PipeMapRed.waitOutputThreads()
Appendices
Installation of a Java Environment
Installation of MySQL
Installation of Redis
Installation of MongoDB
Installation of Cassandra
Installation of Hadoop
Installation of the Hive Environment
Installation of HBase
Biography
Dan Zhang currently works at Qutke in the field of internet finance, leading a startup business of quantitative investment. As a programmer, he has worked in the area of program development for over ten years. Dan has developed mobile games as well as programming tools, and has worked on large Web application systems, internal CRM of companies, system integration of SOA, and big data tools based on Hadoop. Outsourcing, ecommerce, group purchase, payment, SNS and mobile SNS are all within his working range. He is familiar with four programming languages: R, Java, PHP, and JavaScript, and is knowledgeable of mass data storage, data analysis, and machine learning. His blog (http://blog.fens.me/) has a lot of R language original article.
