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Statistical Analysis of Network Data with R

statistical analysis of network data, although advanced undergraduates already comfortable with R should find the book fairly accessible as well.;

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Machine Learning for Knowledge Discovery with R

Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction;

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Data Analytics for the Social Sciences

applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter;

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Data Analytics for the Social Sciences

applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter;

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Statistical Analysis of Financial Data: With Examples in R

Hands-on analysis of actual financial data Accessible coverage of statistical methods Exercises to reinforce concepts;

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R and Data Mining

, clustering, outlier detection, association rules, sequence analysis, text mining, social network analysis, sentiment analysis, and more. Data;

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R Through Excel: A Spreadsheet Interface for Statistics, Data Analysis, and Graphics

In this book, the authors build on RExcel, a free add-in for Excel that can be downloaded from the R distribution network. RExcel;

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Network Psychometrics with R

A systematic, innovative introduction to the field of network analysis, Network Psychometrics with R: A Guide for Behavioral and Social;

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Statistical Application Development with R and Python -

preliminary concepts right away using R and Python. * Understand data modeling and visualization to perform efficient statistical analysis with this;

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Applied Meta-Analysis with R and Stata

without having to plough through theorems and proofs. -Journal of Applied Statistics Statistical Meta-Analysis with R and Stata, Second;

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Applied Meta-Analysis with R and Stata

without having to plough through theorems and proofs. -Journal of Applied Statistics Statistical Meta-Analysis with R and Stata, Second;

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Intensive Longitudinal Analysis of Human Processes

statistical methods in the context of human research Empirical and simulated data examples used throughout the book R code for;

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Statistical Analysis of Microbiome Data with R

This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-world;

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RStudio for R Statistical Computing Cookbook

Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature About This Book;

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Inferential Network Analysis

This unique textbook provides an introduction to statistical inference with network data. The authors present a self-contained derivation;

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Inferential Network Analysis

This unique textbook provides an introduction to statistical inference with network data. The authors present a self-contained derivation;

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First Guide to Statistical Computations in R

, at least among statisticians, and it is freely available. This book is intended for the newcomer who wants to do statistical analysis with R;

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Introductory Statistics with R

methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way;

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A Handbook of Statistical Analyses Using R

, Second Edition provides a guide to data analysis using the R system for statistical computing. Each chapter includes a brief account of the;

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Data Analysis for the Life Sciences with R

include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.;

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Data Analysis for the Life Sciences with R

include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.;

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Statistical Analysis of Network Data: Methods and Models

and statistical analysis of data from a network-centric perspective. Accordingly, the contributions to statistical methods and modeling;

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Probabilistic Inference and Statistical Methods in Network Analysis

social network software. Provide the reader with the insights into the development of network analysis by using various statistical methodologies;

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Introduction to R for Terrestrial Ecology: Basics of Numerical Analysis, Mapping, Statistical Tests and Advanced Application of R

This textbook covers R data analysis related to environmental science, starting with basic examples and proceeding up to advanced;

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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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Statistical Analysis for Environmental Data with R

"Statistical Data Analysis Explained" together with C. Reimann, R.G. Garrett and R. Dutter.;

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Statistical Analysis With R for Dummies

and procedures. But now, thanks to Statistical Analysis with R For Dummies, you have access to a trusted, easy-to-follow guide that focuses on;

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