Statistics Applied with the R Commander by Franz Kronthaler (.PDF)
File Size: 17.2 MB
Statistics Applied with the R Commander: Data Analysis Is (Not) an Art by Franz Kronthaler
Requirements: .PDF reader, 17.2 MB
Overview: This book shows you how to analyze data sets systematically and to use the R Commander to extract information from data almost effortlessly. Both are (not) an art! The statistical methods are presented and discussed using a single data set. This makes it clear how the methods build on each other and gradually more and more information can be extracted from the data. R and the R Commander functions used are explained in detail – the procedure can be easily transferred to other data sets. The book thus provides a simple introduction to professional and free statistical software. Various didactic elements facilitate orientation and working with the book: At the checkpoints, the most important aspects from each chapter are briefly summarized. In the freak knowledge section, more advanced aspects are addressed to whet the appetite for more. All examples are calculated with hand and the R Commander. Numerous applications and solutions as well as further data sets are available on the author’s internet platform. A free and also professional statistical software is available with the program “R”. “R” is an open source software, many people are involved in its development, and like SPSS, it allows the application of most of the known methods of statistics. The great advantage of “R” lies in its free availability, the wide range of statistical methods and the ever-growing mass of people who use this program and offer help on the Internet. However, a disadvantage is that the use of “R” requires some programming skills. This is particularly the case with complex statistical applications. Those who are not afraid to learn a new software will be well served with R and the R Commander. R is free, available as open source software and we can find numerous aids on the Internet. In addition, R is becoming the standard in data analysis.
Genre: Non-Fiction > Tech & Devices
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