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Exploratory Multivariate Analysis by Example Using R

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four;

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Exploratory Multivariate Analysis by Example Using R

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four;

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Exploratory Multivariate Analysis by Example Using R

of scientific disciplines and implemented using an R package developed by the authors"--Provided by publisher.;

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Applied Multivariate Analysis

theory and practice including both the analysis of formal linear multivariate models and exploratory data analysis techniques. Each chapter;

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A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio

This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using the open;

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Hands-On Exploratory Data Analysis with R

Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills Key Features Speed up your;

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Applied Multivariate Research

encounter, using a conceptual, non-mathematical, approach. Addressing correlation, multiple regression, exploratory factor analysis, MANOVA, path;

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Multivariate Humanities

This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory;

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Multivariate Humanities

This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory;

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Multivariate Analysis for the Biobehavioral and Social Sciences

An insightful guide to understanding and visualizing multivariate statistics using SAS(R), STATA(R), and SPSS(R) Multivariate Analysis for;

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Chemometrics with R

description of the general data analysis paradigm, from exploratory analysis (principal component analysis, self-organizing maps and clustering) to;

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Robust Multivariate Analysis

by theory. The robust techniques are illustrated for methods such as principal component analysis, canonical correlation analysis, and factor;

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Exploring Data Tables, Trends, And Shapes

Analysis (UREDA). Whereas UREDA is a collection of exploratory and resistant methods of estimation and display, EDTTS goes a step further;

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Clinical Trial Data Analysis Using R and SAS

. -Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation;

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Clinical Trial Data Analysis Using R and SAS

years' experience in biostatistical research and clinical development. The authors develop step-by-step analysis code using appropriate R;

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Multivariate Analysis with LISREL

This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the;

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Data Analysis Using Hierarchical Generalized Linear Models with R

within the field and, using data examples, illustrates how to analyse various kinds of data using R. It provides a likelihood approach to;

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Data Analysis Using Hierarchical Generalized Linear Models with R

within the field and, using data examples, illustrates how to analyse various kinds of data using R. It provides a likelihood approach to;

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Univariate Bivariate & Multivariate Stat

immediately and quickly applied as needed to research projects Shows how to apply statistical analysis using R to data sets in order to get started;

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Reading and Understanding Multivariate Statistics

and correlation, path analysis, principal-components analysis, exploratory and confirmatory factor analysis, multidimensional scaling;

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The Essence of Multivariate Thinking

analysis, and latent variable models that include exploratory structural methods of principal component and factor analysis. The book concludes;

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The Essence of Multivariate Thinking

analysis, and latent variable models that include exploratory structural methods of principal component and factor analysis. The book concludes;

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Quantitative Methods in Archaeology Using R

Quantitative Methods in Archaeology Using R is the first hands-on guide to using the R statistical computing system written specifically;

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Introduction to Multivariate Statistical Analysis in Chemometrics

Using formal descriptions, graphical illustrations, practical examples, and R software tools, Introduction to Multivariate Statistical;

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Applied Univariate, Bivariate, and Multivariate Statistics Using Python - A Beginner's Guide to Advanced Data Analysis

, and type I and type II errors An introduction to Python, exploring how to communicate with Python A treatment of exploratory data analysis;

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Essentials of Multivariate Data Analysis

them for more complex analyses using software such as Minitab (R), R, SAS, SPSS, and Stata.;

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Using R for Data Management, Statistical Analysis, and Graphics

Using R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without;

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