R - FOR BASIC AND APPLIED SCIENCES
Author | : JANARDHAN KADARI |
Publisher | : Shashwat Publication |
Total Pages | : 204 |
Release | : 2023-11-22 |
ISBN-10 | : 9789395125130 |
ISBN-13 | : 9395125136 |
Rating | : 4/5 (136 Downloads) |
Download or read book R - FOR BASIC AND APPLIED SCIENCES written by JANARDHAN KADARI and published by Shashwat Publication. This book was released on 2023-11-22 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: R is a Statistcal programming language. R is Free and open source. R is an interpreted language not a compiled one. The R programming environment contains the range of tools for parallel computing, machine and deep learning and for working with big Data, including Torch and Tensar flow facilitating construction and implementation of neural networks. The Bioconductor repository contains over a thousand of software packages written in R for analyzing data sets from CDNA microarrays to copy-number variation and epigenomics (Robert Gentleman-Sorin Draghicia). Due to Data Handling and Modeling capabilities and its flexibility, R is becoming the most widely used software in bioinformatics. The R program is built from a variety of packages. These packages are libraries of commands. The Packages are available from the CRAN website. The current R is the result of a collaborative effort of the R core Group. R has many functions for statistical analysis and graphics. R has an effective data handling and storage facility. R provides operators for calculation on arrays, vectors, lists and matrices. This Book Covers all these with suitable examples. R has a collection of tools for data analysis. Keeping in view the Beginners apprehensions the Book provides the Salient Features of Descriptive Statistics & Covers the specific R tools for Statistical analysis. Throughout the Book examples are accompanied by R commands for easy reference. This Book Covers data handling, graphics, and a wide range of Statistical techniques. The Book would be of immense help to basic sciences, Engineering, Business Statistics, medicine streams, Biotechnology, Pharma, Bioinformatics, Genetics and Epidemiology.