Introductory Textbook of R Programmers for Statistical Analysis
STATISTICS BEING A SCIENCE IS CONCERNED WITH DEALING MULTIPLE NUMBERS AT A TIME USING VARIOUS METHODS, ONE OF THEM IS PROGRAMING LANGUAGE R. THIS LANGUAGE OFFERS MORE FUNCTIONS FOR DATA ANALYSIS THAN ANY OTHER STATISTICAL TOOLS. IT IS A LANGUAGE WHICH IS BASICALLY FOR ENVIRONMENTAL STATISTICS AND DISPLAYS SYSTEMS TO ACQUIRE INFORMATION OUT OF GIVEN INDEXES. THIS PARTICULAR BOOK “INTRODUCTORY TEXTBOOK OF R PROGRAMERS FOR STATISTICAL ANALYSIS” PROVIDES A CLEAR AND DEEPENED FORWARD KNOWLEDGE ABOUT THE IMPLEMENTATION OF R PROGRAMING LANGUAGE. R IS AN ALMOST PERFECT AND COMPACT INITIAL COURSE WHICH FOCUSES ON RECENT ADVANCES IN COMPUTATIONAL STATISTICS AND PROVIDES EASY TO USE MATERIALS LIKE T-TESTS, CHI-SQUARED TESTS AND MANY MORE. A LARGE COMMUNITY OF DEDICATED R USERS AND PROGRAMERS PROVIDES AN EXCELLENT R CODE, FUNCTIONS AND DATA SETS, WITH A CONSTANTLY EVOLVING ECOSYSTEM. IT IS THE MOST PREVALENT, EFFECTIVE AND FREE PROGRAMING LANGUAGE AND USED BY MULTIPLE ANALYTICS-DRIVEN ORGANIZATIONS LIKE GOOGLE AND FACEBOOK. YOUR INVESTMENT IN LEARNING R IS SURE TO PAY OFF IN THE LONG TERM AS R CONTINUES TO GROW INTO THE GO TO LANGUAGE FOR DATA ANALYSIS AND RESEARCH.