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
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...
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...
The only hardware requirement for most of the R tutorials is a PC with the latest free open source R software installed. R has extensive documentation and active online community support. It is the perfect environment to get started in statistical computing. ...
Depending on the analyses performed, the datasets were filtered using different stringencies (see Fig. S2.2 for more details). Variants were output in binary variant call format (BCF) and were converted to variant call format (VCF) and compressed VCF (vcf.gz) using BCFtools for uses in ...
Introduction to Statistical Pattern Recognition, Second Edition (Computer Science and Scientific Computing Series) 作者: Keinosuke Fukunaga 出版社: Academic Press出版年: 1990-10页数: 592定价: USD 110.00装帧: HardcoverISBN: 9780122698514豆瓣评分 评价人数不足 ...
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...
Known for its versatility, the free programming language R is widely used for statistical computing and graphics, but is also a fully functional programming language well suited to scientific programming. An Introduction to Scientific Programming and Simulation Using R teaches the skills needed to perfo...
R documentation:https://www.r-project.org/other-docs.html Books Summary R is a powerful programming language for statistical computing and graphics. It is free and open-source software with a large community of users. R is a great language to learn if you are interested in data science. ...
There are two possible ways for developing or concretely using an IoT system dedicated to smart agriculture: acquiring a technology developed ad hoc or tapping into the countless opportunities that the open source world offers. While the first way, certainly more professional, involves major investment...