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Graphical Data Analysis with R

See How Graphics Reveal Information Graphical Data Analysis with R shows you what information you can gain from graphical displays. The;

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Graphical Data Analysis with R

See How Graphics Reveal Information Graphical Data Analysis with R shows you what information you can gain from graphical displays. The;

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Graphical Analysis

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Interactive Graphics for Data Analysis

Interactive Graphics for Data Analysis: Principles and Examples discusses exploratory data analysis (EDA) and how interactive graphical;

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Interactive Graphics for Data Analysis

Interactive Graphics for Data Analysis: Principles and Examples discusses exploratory data analysis (EDA) and how interactive graphical;

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Handbook of Data Visualization

graphical methodology for particular areas of statistics, for example Bayesian analysis, genomic data and cluster analysis, as well software for;

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Bayesian and grAphical Models for Biomedical Imaging

papers highlight the potential of using Bayesian or random field graphical models for advancing scientific research in biomedical image analysis;

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Graphics for Statistics and Data Analysis with R

Praise for the First Edition The main strength of this book is that it provides a unified framework of graphical tools for data analysis;

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Graphics for Statistics and Data Analysis with R

Praise for the First Edition The main strength of this book is that it provides a unified framework of graphical tools for data;

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Statistical Computing Environments for Social Research

The nature of statistics has changed from classical notions of hypothesis testing toward graphical and exploratory data analysis that;

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Statistical Computing Environments for Social Research

The nature of statistics has changed from classical notions of hypothesis testing toward graphical and exploratory data analysis that;

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A User's Guide to Path Analysis

User's Guide to Path Analysis contains: _ Definition and graphical illustrations of basic terms and concepts _ Illustration of causal diagrams;

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Causal Analysis in Biomedicine and Epidemiology

method of model parametritization. Illustrates structural equations and graphical elements for complex causal systems.;

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Causal Analysis in Biomedicine and Epidemiology

method of model parametritization. Illustrates structural equations and graphical elements for complex causal systems.;

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Hands-On Exploratory Data Analysis with R

Discover and practice graphical exploratory analysis techniques across domains Book DescriptionHands-On Exploratory Data Analysis with R will;

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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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Discrete Data Analysis with R

An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete Data Analysis with R: Visualization and;

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Modern Quantification Theory

joint graphical display such as bimodal cluster analysis and other statistical problems relevant to quantification theory.;

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Modern Quantification Theory

joint graphical display such as bimodal cluster analysis and other statistical problems relevant to quantification theory.;

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Graphical Models with R

Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the;

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Gephi Cookbook

About This Book Design and explore graphical networks using a wide range of Gephi features Analyze the structure and properties;

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The Image-Interface - Graphical Supports for Visual Information

Digital practices are shaped by graphical representations that appear on the computer screen, which is the principal surface for designing;

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Compressed Sensing in Li-Fi and Wi-Fi Networks

-asymptotic analysis of random matrices, adaptive detection, greedy algorithms, and the use of graphical models.;

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Biostatistics for Epidemiology and Public Health Using R

analysis and graphical output. This is the first textbook to present classical biostatistical analysis for epidemiology and related public health;

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Biostatistical Design and Analysis Using R

. Topics covered include: * simple hypothesis testing, graphing * exploratory data analysis and graphical summaries * regression (linear, multi and;

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Biostatistical Design & Analysis Using R

. Topics covered include: * simple hypothesis testing, graphing * exploratory data analysis and graphical summaries * regression (linear, multi and;

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