Data Analysis with R statistical Software: A Guidebook for Scientists
Data Analysis with R statistical Software: A Guidebook for Scientists
by Rob Thomas
English | 2015 | ASIN: B014RIJBFA | 339 Pages | EPUB | 2 MB
by Rob Thomas
English | 2015 | ASIN: B014RIJBFA | 339 Pages | EPUB | 2 MB
The ability to understand, use and interpret statistics is one of the most empowering skills that a scientist can possess, because it enables the researcher to address any kind of scientific question in a rigorous and quantitative manner. When using statistics, scientists need to be sure that they are collecting the right sort of data in well-designed experiments, using the most appropriate statistical tests, and interpreting the results properly. Statistical analysis does not necessarily come easily to many scientists, but it is an increasingly important and useful part of the toolkit of techniques that are available for understanding the world about us. R is a very powerful statistical software package that will enable you to analyse more or less any dataset. This concise guide is designed to help you quickly to become familiar with R and to explore its potential as a powerful tool for analysing your data, whatever your field of research.