Inhaltsverzeichnis
This book can be used for self-study by those in business administration, engineering, and the social, health, or biological science fields, to become competent in statistical programming. it can be used as supplementary material for statistics-related courses. Each chapter ends with a summary of R commands and appropriate exercises. Moreover, the appendix presents detailed code solutions to facilitate faster code-learning among readers. this book can evoke readers interests in analyzing data and reduce the learning difficulty. (Mei-Hsien Lee, Biometrics, Vol. 77 (4), December, 2021)
I enjoyed reading this book. The authors were good at creating a complete tool for beginners to start along the path of essential statistical analysis in R. I recommend this book, for its content, writing, and organization, to undergraduate or graduate students of disciplines other than statistics but also to professionals (non-statisticians) who would like to acquire or improve their analysis skills and understand the depth of R functionality, especially nowadays that R use is very popular among data analysts. (Georgios Nikolopoulos, ISCB News, iscb. info, Vol. 72, December, 2021)Es wurden noch keine Bewertungen abgegeben. Schreiben Sie die erste Bewertung zu "Data Analysis with RStudio" und helfen Sie damit anderen bei der Kaufentscheidung.