 Название: Data Analysis with RStudio: An Easygoing Introduction
Автор: Franz Kronthaler, Silke Zollner
Издательство: Springer
Год: 2021
Страниц: 131
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
R is a powerful freely available open-source tool for analyzing data and creating graphs ready for publication. In just a few years, R has become the leading statistical software in science and is now becoming even more widespread in practice and in business. R can be used to analyze data and to generate knowledge for companies and institutions that they can include in their business decisions.
The objective of the text is to introduce R - specifically RStudio - to students from different fields of study and to practitioners and enable them to use R in their everyday work. The script is not a substitute for statistical textbooks. The focus lies on the use of RStudio for data analysis, but at the same time, also some statistical knowledge is conveyed. If someone feels the need to deepen the statistical knowledge, he or she should read a textbook of statistics. At the end of the script, various textbooks are briefly described. The main purpose however is to hand over the joy of analyzing data with RStudio!
The objective of this text is to introduce RStudio to practitioners and students and enable them to use R in their everyday work. It is not a statistical textbook, the purpose is to transmit the joy of analyzing data with RStudio. Practitioners and students learn how RStudio can be installed and used, they learn to import data, write scripts and save working results. Furthermore, they learn to employ descriptive statistics and create graphics with RStudio. Additionally, it is shown how RStudio can be used to test hypotheses, run an analysis of variance and regressions. To deepen the learned content, tasks are included with the solutions provided at the end of the textbook. This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.
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