R is leading data analysis software and programming language. R is well known for its graphical capabilities, one of motivation to switch to R for scholars of different science and art disciplines. This manual is designed as self-help step-by-step guide avoiding lengthy verbose. The author useful for beginner to more advanced users, with some statistical and computing knowledge, with diverse background from several areas of sciences including Biology and life sciences (biological, medical, biomedical, plant science, animal science, molecular biology, biotechnology etc), computing and physical sciences (Physics, Chemistry, Earth science, Mathematics and Statistics)and Social and Socio-economic sciences. In addition to workable examples and scripts, a brief discussion on R installation and use, data manipulation is also provided at the beginning for those users who are new to R with limited knowledge on programming languages. Those users who want to do more on data analysis, can find the complementary book - "R for Data Analysis in Biological Sciences, Lambert Academic Publishing, ISBN 978-3-8443-2841-7) useful. R Software can be downloaded for free from: www.r-project.org.