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This concise book presents a very applied introduction to compositional data analysis, focussing on the use of R for analysis. It includes lots of real examples, code snippets, and colour figures, to illustrate the methods.
This book gives an overview of statistical methods that have been developed during the last years due to increasing computer use, including random number... Læs mere
Covers material typically presented in an intermediate statistics course at the undergraduate level and a first course in applied statistics... Læs mere
This book covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single and short book.... Læs mere
This book covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single and short book.... Læs mere
Continuous linear systems and discrete linear systems are broad topics and each merit a single book devoted to the respective subject matter. The objective of... Læs mere
It covers the creation of datasets in SAS, debugging a program, the overall construction of a SAS program, all DATA Step operations, t-tests,... Læs mere
It covers the creation of datasets in SAS, debugging a program, the overall construction of a SAS program, all DATA Step operations, t-tests,... Læs mere
This book is designed to provide a range of examples of how to extend the functionality of your R Markdown documents. As a cookbook, this guide is recommended to new or intermediate R Markdown users.