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Reporting of socioeconomic data using R Markdown
Sládek, David ; Sobíšek, Lukáš (advisor) ; Procházka, Jiří (referee)
This bachelor thesis does theoretical as well as practical research in R Markdown tool. The practical part should serve as a guide for new users of this system. The description of features of this tool is shown directly at this thesis, because it is completely written in R Markdown. The second part investigates the possibility of quantification of religious belief's strength in several European countries and comparison of this belief among them. For this purpose has been used basic tools of contingency analysis. The results show different tendencies of strength of belief among some countries.
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Analysis of voting in the Chamber of Deputies
Ventruba, Štěpán ; Vrabec, Michal (advisor) ; Řezanková, Hana (referee)
This bachelor thesis investigates voting of members and political groups of the Parliament's Chamber of Deputies. Descriptive statistics, contingency analysis and chi-square tests were used to explore the existence and intensity of dependencies in voting patterns of deputies and political groups, their activity, intragroup agreement, intergroup agreement and accordance of their voting with the voting patterns of coalition government and opposition. The results reveal a significant effect of changes in rules of procedure on the perception of activity of individual members.
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Possibilities of use of program R in the regression and contingency Possibilities of use of program R in the regression and contingency analysis
Ballarinová, Marie ; Blatná, Dagmar (advisor) ; Plašil, Miloslav (referee)
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.
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