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.