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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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Statistical Analysis of Microbiome Data

methods, particular emphasis is placed on examples in R that rely on available statistical packages for microbiome data. With its wide-ranging;

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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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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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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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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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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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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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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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Clinical Trial Data Analysis Using R and SAS

Adds SAS programs along with the R programs for clinical trial data analysis. Updates all the statistical analysis with;

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Clinical Trial Data Analysis Using R and SAS

Adds SAS programs along with the R programs for clinical trial data analysis. Updates all the statistical analysis with updated R;

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Easy Statistics for Food Science with R

for the analysis and interpretation of data. R statistical software is used throughout the book to analyze the data. Contains;

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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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Statistical Data Analysis Explained

. Statistical Data Analysis Explained: Applied Environmental Statistics with R provides, on an accompanying website, the software to undertake all the;

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Analysis Of Questionnaire Data With R

disadvantages. Analysis of Questionnaire Data with R translates certain classic research questions into statistical formulations. As indicated in the;

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R Cookbook Proven Recipes for Data Analysis, Statistics, and Graphics

Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language;

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Using R for Data Analysis in Social Sciences

substantive questions with data analysis and replicate published findings. Using R for Data Analysis in Social Sciences adopts a minimalist;

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Biostatistics with R: An Introduction to Statistics Through Biological Data

Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their;

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Book Of R The

begin using R effectively for statistical analysis. You ll start with the basics, like how to handle data and write simple programs, before;

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Computational Statistics

software package for data analysis, statistical programming, and graphics. Integrating R code and examples throughout, the text only requires basic;

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Beginning R Statistical Progmng Language

Beginning R offers anyone who needs to perform statistical analysis the information necessary to use R with confidence.;

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