This is an applied handbook on survival analysis (also known as reliability or duration analysis) with annotated examples using S-Plus or R. This is the first book ever explaining survival analysis by example and is intended for users at all levels. The examples can easily be replicated using other
Hypothesis Testing by Example: Hands on approach using R
β Scribed by Faye Anderson
- Tongue
- English
- Leaves
- 34
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This is an applied handbook on hypothesis testing with annotated examples using S-Plus or R. It is intended for any research project to help decide which test to use, how to interpret test results, and how to proceed afterwards. Although the twelve examples are presented in R, their results and interpretations are applicable to any other software attempting hypothesis testing. The examples cover univariate and multivariate data.
π SIMILAR VOLUMES
This is an applied handbook on survival analysis (also known as reliability or duration analysis) with annotated examples using S-Plus or R. This is the first book ever explaining survival analysis by example and is intended for users at all levels. The examples can easily be replicated using other
<P>Full of real-world case studies and practical advice, <STRONG>Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables ar
Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitati
''An introduction to exploratory techniques for multivariate data analysis, this book covers the key methodology, including principal components analysis, correspondence analysis, mixed models and multiple factor analysis. The authors take a practical approach, with examples leading the discussion o