A User's Guide to Network Analysis in R Springer | Mathematics | January 6, 2016 | ISBN-10: 3319238825 | 238 pages | pdf | 6.6 mb
Authors: Luke, Douglas A. Provides a practical, hands-on tour of the major network analytic tasks R is capable of, including network data management, network visualization, network description, and network modeling Includes all R code needed for examples used throughout the book Serves as an excellent reference resource for teaching and learning network science, analytics, and techniques
Learning Data Analysis with R MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 6 Hours | 4.04 GB Genre: eLearning | Language: English
R is a programming language and software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.