Journal ArticleDOI
The Grammar of Graphics
TLDR
The book describes clearly and intuitively the differences between exploratory and confirmatory factor analysis, and discusses how to construct, validate, and assess the goodness of fit of a measurement model in SEM by confirmatory factors analysis.Abstract:
Examples are discussed to show the differences among discriminant analysis, logistic regression, and multiple regression. Chapter 6, “Multivariate Analysis of Variance,” presents advantages of multivariate analysis of variance (MANOVA) over univariate analysis of variance (ANOVA), discusses assumptions of MANOVA, and assesses validations of MANOVA assumptions and model estimation. The authors also discuss post hoc tests of MANOVA and multivariate analysis of covariance. Chapter 7, “Conjoint Analysis,” explains what conjoint analysis does and how it is different from other multivariate techniques. Guidelines of selecting attributes, models, and methods of data collection are presented. Chapter 8, “Cluster Analysis,” studies objectives, roles, and limitations of cluster analysis. Two basic concepts: similarity and distance are discussed. The authors also discuss details of five most popular hierarchical algorithms (singlelinkage, complete-linkage, average-linkage, centroid method, Ward’s method) and three nonhierarchical algorithms (the sequential threshold method, the parallel threshold method, and the optimizing procedure). Profiles of clusters and guidelines for cluster validation are studied as well. Chapter 9, “Multidimensional Scaling and Correspondence Analysis,” introduces two interdependence techniques to display the relationships in the data. The book describes clearly and intuitively the differences between the two techniques and how these two techniques are performed. Chapters 10–12 cover topics in SEM. Chapter 10, “Structural Equation Modeling: An Introduction,” introduces SEM and related concepts such as exogenous, endogenous constructs, and so on, points out the differences between SEM and other multivariate techniques, overviews the decision process of SEM. Chapter 11, “Confirmatory Factor Analysis,” explains the differences between exploratory and confirmatory factor analysis, discusses how to construct, validate, and assess the goodness of fit of a measurement model in SEM by confirmatory factor analysis. Chapter 12, “Testing a Structural Model,” presents some methods of SEM in examining the relationships between latent constructs. The book is an excellent book for people in management and marketing. For the Technometrics audience, this book does not have much flavor of physical, chemical, and engineering sciences. For example, partial least squares, a very popular method in Chemometrics, is discussed but not as detailed as other techniques in the book. Furthermore, due to the amount of materials covered in the book, it might be inappropriate for someone who is new to multivariate analysis.read more
Citations
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Journal ArticleDOI
phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data.
Paul J. McMurdie,Susan Holmes +1 more
TL;DR: The phyloseq project for R is a new open-source software package dedicated to the object-oriented representation and analysis of microbiome census data in R, which supports importing data from a variety of common formats, as well as many analysis techniques.
Journal ArticleDOI
Welcome to the Tidyverse
Hadley Wickham,Mara Averick,Jennifer Bryan,Winston Chang,Lucy D'Agostino McGowan,Romain François,Garrett Grolemund,Alex Hayes,Lionel Henry,Jim Hester,Max Kuhn,Thomas Lin Pedersen,Evan Miller,Stephan Milton Bache,Kirill Müller,Jeroen Ooms,David Robinson,Dana P. Seidel,Vitalie Spinu,Kohske Takahashi,Davis Vaughan,Claus O. Wilke,Kara H. Woo,Hiroaki Yutani +23 more
TL;DR: This is a list of winners and nominees for the 2016 Paralympic Games in Rio de Janeiro, Brazil.
Posted Content
Principles of data mining
TL;DR: This paper gives a lightning overview of data mining and its relation to statistics, with particular emphasis on tools for the detection of adverse drug reactions.
Journal ArticleDOI
ggtree: an R package for visualization and annotation of phylogenetic trees with their covariates and other associated data
TL;DR: An r package, ggtree, which provides programmable visualization and annotation of phylogenetic trees, which can read more tree file formats than other softwares, and support visualization of phylo, multiphylo, phylo4, phyla4d, obkdata and phyloseq tree objects defined in other r packages.
Journal ArticleDOI
ggmap: Spatial Visualization with ggplot2
David Kahle,Hadley Wickham +1 more
TL;DR: This article details some new methods for the visualization of spatial data in R using the layered grammar of graphics implementation of ggplot2 in conjunction with the contextual information of static maps from Google Maps, OpenStreetMap, Stamen Maps or CloudMade Maps and presents an overview of a few utility functions.
References
More filters
Journal ArticleDOI
phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data.
Paul J. McMurdie,Susan Holmes +1 more
TL;DR: The phyloseq project for R is a new open-source software package dedicated to the object-oriented representation and analysis of microbiome census data in R, which supports importing data from a variety of common formats, as well as many analysis techniques.
Journal ArticleDOI
Welcome to the Tidyverse
Hadley Wickham,Mara Averick,Jennifer Bryan,Winston Chang,Lucy D'Agostino McGowan,Romain François,Garrett Grolemund,Alex Hayes,Lionel Henry,Jim Hester,Max Kuhn,Thomas Lin Pedersen,Evan Miller,Stephan Milton Bache,Kirill Müller,Jeroen Ooms,David Robinson,Dana P. Seidel,Vitalie Spinu,Kohske Takahashi,Davis Vaughan,Claus O. Wilke,Kara H. Woo,Hiroaki Yutani +23 more
TL;DR: This is a list of winners and nominees for the 2016 Paralympic Games in Rio de Janeiro, Brazil.
Posted Content
Principles of data mining
TL;DR: This paper gives a lightning overview of data mining and its relation to statistics, with particular emphasis on tools for the detection of adverse drug reactions.
Journal ArticleDOI
ggmap: Spatial Visualization with ggplot2
David Kahle,Hadley Wickham +1 more
TL;DR: This article details some new methods for the visualization of spatial data in R using the layered grammar of graphics implementation of ggplot2 in conjunction with the contextual information of static maps from Google Maps, OpenStreetMap, Stamen Maps or CloudMade Maps and presents an overview of a few utility functions.
Journal ArticleDOI
Toward a Deeper Understanding of the Role of Interaction in Information Visualization
TL;DR: Seven general categories of interaction techniques widely used in Infovis are proposed, organized around a user's intent while interacting with a system rather than the low-level interaction techniques provided by a system.