Nowadays the demand for so-called free, or open source software for data analysis as well as the appeal to use it is great. An public domain software that has become extremely well-known, with ever-increasing numbers of fans and even co-workers, is Environment R, or simply R. R is extremely useful for data analysis and manipulation in view of a range of tools already implemented. Also, R is not simply a statistical program, because, by its easy on using internal functions and also creating new ones, statistical procedures applied to data can also be created, manipulated, evaluated and interpreted. R contains numerous libraries (or packages), some already included in the default setting. This course will focus on the application of R in statistical analyses in plant breeding. Explanations on the use of various commands and functions will be illustrated with examples, to facilitate the interpretation and adaptation to other similar problems.
statistical analysis; design of experiments; data analysis