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.R for Data Analysis in easy steps has an easy-to-follow style that will appeal to anyone who wants to produce graphic;
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Helping to bridge the gap between data gathering and data analysis, this book is based on a set of easy-to-follow steps woven throughout;
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Helping to bridge the gap between data gathering and data analysis, this book is based on a set of easy-to-follow steps woven throughout;
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substantive questions with data analysis and replicate published findings. Using R for Data Analysis in Social Sciences adopts a minimalist;
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Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods;
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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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This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics;
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Through this book, researchers and students will learn to use R for analysis of large-scale genomic data and how to create routines to;
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for data analysis. R has also become popular in commercial use at companies such as Microsoft, Google, and Oracle. Your investment;
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workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data;
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workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data;
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to apply useful data analysis techniques in R for real-world applications * An easy-to-follow guide to make the life of data scientist;
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for the analysis and interpretation of data. R statistical software is used throughout the book to analyze the data. Contains;
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Stata is the most flexible and extensible data analysis package available from a commercial vendor. R is a similarly flexible free and open;
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, behavioral, and natural sciences, Univariate, Bivariate, and Multivariate Statistics Using R offers an easy-to-use guide for performing data analysis;
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as spline basis functions, data smoothing, curve registration, functional linear models and dynamic systems Functional data analysis is put;
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>Importing and exporting of dataMaking queries to extract specific dataProducing Forms for data entry
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databases, * Explore fast, streaming, and scalable data analysis with the most cutting-edge technologies in the market Who This Book Is For;
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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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Adds SAS programs along with the R programs for clinical trial data analysis. Updates all the statistical analysis with;
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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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for anyone getting to grips with data analysis using R and excel. - Amazon 5-star review It has been very easy to follow and will be;
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for anyone getting to grips with data analysis using R and excel. - Amazon 5-star review It has been very easy to follow and will be;
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trails, getting data back out of R, and more. * The only single-source guide to R data and its preparation, it describes best practices for;
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leaders with simple steps for facilitating accurate analysis and interpretation of data, while avoiding common errors and pitfalls. How to Make;
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