Infopaket

Software environment R

1.7

Обов’язкова дисципліна для ОП

Second

2023/2024

1 Semester

5

PLO 3. To communicate freely on professional and scientific issues in the state and foreign languages orally and in writing PLO 8. Collect, process and analyze statistical data, scientific and analytical materials needed to solve complex economic problems. PLO10. Apply modern information technologies and specialized software in socio-economic research and management of socio-economic systems. PLO 17. Use modern educational and research technologies in the field of economics.

Distance form

1. Know: the theory of methods of statistical analysis (disciplines: Statistics, Statistics for economists). 2. Possess: programming methods (disciplines: Fundamentals of programming, programming, Python and others).

The curriculum consists of one module: Software environment R. How to program in R, how to use programming language R for effective analysis of economic data, installation and configuration of software required for statistical programming environment, description of general concepts of programming languages during their implementation at a high level of statistical language, practical issues of statistical calculations, including programming in R, reading data in R.

1. S. van Buuren. Flexible Imputation of Missing Data. Chapman & Hall/CRC Interdisciplinary Statistics. CRC Press LLC, 2018. ISBN 9781138588318 2. Dan E. Kelley. Oceanographic Analysis with R. Springer-Verlag, New York, October 2018. ISBN 978-1-4939-8842-6 3. Sarah Stowell. Using R for Statistics. Apress, 2014. ISBN 978-1484201404 4. Vikram Dayal. An Introduction to R for Quantitative Economics: Graphing, Simulating and Computing. Springer, 2015. ISBN 978-81-322-2340-5 5. C. Sun. Empirical Research in Economics: Growing up with R. Pine Square, Starkville, Mississippi, USA, 1st edition, 2015

The purpose of the discipline - Formation of students' necessary theoretical knowledge and practical skills for the effective use of programming language R with the use of special libraries of analysis and visualization of data for further use in professional activities.

Forms of student assessment: (max. Points 60 / min. Points 36) 1. Performance of practical and laboratory works - 48 points / 30 points; 2. Independent work - estimated individual task - 12 points / 6 points; - final assessment in the form of an exam

Ukrainian