Possibilities of use of program R in the regression and contingency Possibilities of use of program R in the regression and contingency analysis

The aim of this bachelor thesis is to introduce the basics of the statistical program R and its application to regression and contingency analysis. The work focuses on basic user skills with data processing in the program R. The program is evaluated from many perspectives (eg, program benefits, data processing in R, working with PivotTables in R, graphs in R, import and export data, etc. .). Both analyses in this work are used for demonstration of commands and syntax for these statistics. The contribution of this work is to raise awareness about the great usefulness of the program and highlight the different functions both the analysis and the basis for statistical data processing. The main part of this work is focused on commands that can be applied directly to the command line in R in practice. The structure is divided into five main chapters. The first and second chapters provide a basic description of regression analysis and contingency. The third chapter introduces the syntax, commands and technical aspects of the program R. In the fourth and fifth chapter is application of both analyses in the program R. In the regression analysis is used simple and multiple regression analysis. The main scope of contingency analysis is working with data using tables in the program R