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
Giuseppe Ciaburro, "Regression Analysis with R: Design and develop statistical nodes to identify unique relationships within data at scale" English | ISBN: 178862730X | 2018 | EPUB | 422 pages | 25,3 MB
R: Powerful Data Analysis with R MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 8.5 Hours | 5.15 GB Genre: eLearning | Language: English
There’s an increasing number of data being produced every day which has led to the demand for skilled professionals who can analyze these data and make decisions. R is one of the popular tool which is widely used by data analysts for performing data analysis on real-world data.