R is a predominately syntax driven computational software package and relies on its user to known the R language (which is derived from the S, S-plus and UNIX programming languages). R is comparable in structure and conceptual arrangement to other syntax based software packages such as SAS. ...
To fully understand R, it’s helpful to understand S, the main language that informed its development. The S programming language S was developed in the mid-1970s by John Chambers and others working for Bell Labs. Its purpose was to offer an interactive approach to statistical computing, on...
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lots of networks have reached the throughput of 100 Gbps [83]. To keep up with the pace of the soaring throughput of networks, multi-thread approaches [35, 77] have been proposed
Statistical Computing: An Introduction to Data Analysis using SPlus Many statistical modelling and data analysis techniques can be difficult to grasp and apply, and it is often necessary to use computer software to aid the ... Robert Kushler - 《Technometrics》 被引量: 3617发表: 2002年 加载更多...
This introductory R programming course provides hands-on experience using R, a programming language for statistical computing, machine learning, and graphics. R is widely used in diverse disciplines to estimate, predict, and display results. Students will learn how to use R to clean, analyze, and...
Introduction to RLink R is a programming language and software environment for statistical computing and graphics. R is an open-source project, and a result of a large community effort. More information about R can be found at http://www.r-project.org. RLink is a Mathematica application tha...
Fukunaga跟Duda他们代表了一个时代,这本书也是关于经典的Bayes Decision Theory 我要写书评 Introduction to Statistical Pattern Recognition, Second Edition (Computer Science and Scientific Computing Series)的书评 ··· ( 全部0 条 ) 论坛 ··· 在这本书的论坛里发言 + 加入购书单 ...
Linear Regression Analysis Using R Another Chi-Square Test Graphs with R Show 2 more July 2015 Volume 30 Number 7 R Programming Language - Introduction to R for C# Programmers ByJames McCaffrey The R language is used by data scientists and programmers for statistical comput...
Ryan Heartfield, et al. Self-Configurable Cyber-Physical Intrusion Detection for Smart Homes Using Reinforcement Learning. IEEE TIFS. To detect attacks early and potentially reduce their damaging consequences, we need a reliable and robust intrusion detection system (IDS) for the power grid. The exi...