IMPLEMENTATION OF THE R SOFTWARE ENVIRONMENT CAPABILITIES FOR ENVIRONMENTAL RESEARCH

Safaraliev Ildar A.  -  Candidate of Biological Sciences, Head of The Sturgeon Laboratory, Volga-Caspian branch of the VNIRO (“CaspNIRKH”), Russia, 414056, Astrakhan, Savushkina St., 1, safaraliev.i.a@mail.ru

Puchkov Mikhail Yurievich  -  Doctor of Agricultural Sciences, Professor of the Department of Agricultural Technology, Educational and Experimental Farm, Astrakhan State University named by V.N. Tatischev, Russia, 414000, Astrakhan, pl. Shaumyan, 1, rosecostroi@mail.ru

The article presents the of the R software environment capabilities as a tool for statistical analysis. A brief comparison with other statistical software products is given, showing the advantage of the R environment. As examples of work in the R environment, some statistical methods from the textbook by G.F. Lakin "Biometrics" (1990) are given, which are implemented in R and testify to the current relevance of this monograph when used simultaneously with this programming language, both in scientific research and in the educational process.

Key words: biometrics, quantitative biology, statistical methods, Wilcoxon test (Mann-Whitney), multiple correlation, MS Excel, R, RStudio.