Data Analysis

Many useful methods for data analysis have been developed in the field of statistics, and most of these methods are ready and waiting to be used in R. Interest in R language(m) is increasing day by day as it makes it possible to access many resources and data on the internet. The data to be used in practice is also very important, especially for understanding a statistical analysis. In addition to the datasets built in the R language, every web page describing statistical data analysis using the R language also includes application data. This leads to an easy comprehension of the R language. Another advantage of the R language is that high quality graphics can be obtained by easily installing various graphics software packages into the R environment. It is also free and flexible since it is open-source. Authors of new statistical methods contribute regularly to many libraries in R, so R is a living language.
With these features, it is a unique software for undergraduate, graduate or doctoral students. It is a very enjoyable, attractive and indispensable language for those who work in the fields of statistics and econometrics, as it has a wide range of resources and is easily accessible. This book aims to spread, popularize and support the use of the R programming language within the framework of the above-mentioned motives and is designed for all scientists who need to analyze data on their own. Intended for practitioners faced with data analysis, this book is practice-oriented in this respect. I hope that the book, in which the writing of mathematics is reduced as much as possible, and more attention is drawn to examples and intuition, will be useful...