Reviews
A recent review of the lascivious data we've been reading. To understand the content, you need knowledge from your academic level of feedback, mathematical statistics, experimental planning, multi-division analysis, and general data analysis, but you can look at the applications and see what happens through R-code. The study of the results of the study shows that the results are similar to those of Professor Kim Yankjin's casual data analysis, but it is also characteristic of the more
Lee Geun-baek: Using R for Longitudinal Data Analysis
This book is written about a graduate student in statistics, master and Ph.D. So, the basic mathematical statistics, reciprocity analysis and generalization of data are suggested, explaining models and the estimate of population. In other words, a student who has not finished the above course can be a little bit difficult. The student suggests to skip the detailed formula and focus on data analysis using model descriptions and R codes. Data analysis using R-code shows as many forms of data as possible and tries to use only code to analyze the different shallow data that readers meet. Additionally, for students of statistics and Ph.D., more or less theoretical content (the chapter or verse part) has been added to help them in their research.
Korean title: 경시적 자료분석 R활용
Korean author: 이근백
Korean publisher: 자유아카데미
ISBN-13: 9791158083465
Reviews
A recent review of the lascivious data we've been reading. To understand the content, you need knowledge from your academic level of feedback, mathematical statistics, experimental planning, multi-division analysis, and general data analysis, but you can look at the applications and see what happens through R-code. The study of the results of the study shows that the results are similar to those of Professor Kim Yankjin's casual data analysis, but it is also characteristic of the more
