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Practical Guide to Cluster Analysis in R
This book provides practical guide to cluster analysis, elegant visualization and interpretation. It covers 1) dissimilarity measures; 2) partitioning clustering methods (K-means, K-Medoids and CLARA...
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Practical Guide To Principal Component Methods in R
This book provides a solid practical guidance to summarize, visualize and interpret the most important information in a large multivariate data sets, using principal component methods in R. You will...
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R Graphics Essentials for Great Data Visualization
This book provides more than 200 practical examples to create great graphics for the right data using either the ggplot2 package and extensions or the traditional R graphics. Order a Physical Copy on...
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Network Analysis and Visualization in R
This book provides a quick start guide to network analysis and visualization in R. You'll learn, how to create static and interactive network graphs. Order a Physical Copy on Amazon: Or, Buy and...
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Machine Learning Essentials: Practical Guide in R
Discovering knowledge from big multivariate data, recorded every days, requires specialized machine learning techniques. This book presents an easy to use practical guide in R to compute the most...
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GGPlot2 Essentials for Great Data Visualization in R
This book presents the essentials of ggplot2 package to easily create beautiful graphics in R. Key features: - Covers the most important graphic functions - Short, self-contained chapters with...
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Inter-Rater Reliability Essentials: Practical Guide in R
This ebook presents the essentials of inter-rater reliability analyses in R. Key features: Covers the most common statistical measures for the inter-rater reliability analyses, including cohen’s Kappa,...
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Practical Statistics in R for Comparing Groups: Numerical Variables
(This is an ebook) This R Statistics book provides a solid step-by-step practical guide to statistical inference for comparing groups means using the R software. It is designed to get you doing the...
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