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, Federal State Budgetary Educational Institution of Higher Education "Astrakhan State University named by V.N. Tatischev", Russia, 414056, Astrakhan, Tatischev st., 20a, 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.