BlueSky Statistics is an easy-to-use and powerful menu-based system for data science. Its menus and dialog boxes make quick work of graphs and analyses without having to learn to program. Behind the scenes, it writes code using the powerful R language. It can show you the code it writes, allowing you to learn R and modify what it is doing. R programmers can easily add menus and dialog boxes to BlueSky. This guide is a subset of the BlueSky Statistics 7.1 User Guide. This one keeps the cost low by skipping advanced modeling, such as the Model Fitting and Model Tuning menus. The straightforward writing style used in both guides assumes a minimal background in statistics or machine learning. It includes: - An introduction that gets you going quickly. - Simple step-by-step instructions for each item on the Graphics and Analysis menus. - Instructions for setting graphics themes and table styles. - How to interpret each graph and output table. - Details of the Analysis Window, Datagrid, Output Window, and Model Scorer. - Extensive cross-references helping you relate one topic to another. - A detailed index allowing you to search by topic or by R function or package name. - A glossary of BlueSky terminology.
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