R is a powerful computation program, generally known as an environment for statistical computation and graphics. Nowadays this program is an essential tool for data scientists. The importance of R on research field is inevitable, when the data-sets are complex and huge in number. The researchers have to be involved with collection, preparation, analysis, visualization, management, and preservation of large set of information. But unfortunately most of the researchers, especially biologists/ecologists are not have enough time to spend on coding,especially when they are in the middle of their research projects. But keep in mind the famous quote:
“Give me six hours to chop down a tree and I will spend the first four sharpening the axe.”
― Abraham Lincoln
Learning R for your research have same effect, it will sharpen your skills. From my own experience, I done my six month estimated data analysis within 6 hours. Most people thinks that R is just a program for statistical analysis. I must tell that, It is the bare minimum knowledge of R they have. In this post, I am trying to tell the possibilities of R. Whatever your research is, or what kind of data you are dealing with, R is the solution.