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Advanced R Statistical Programming and Data Models

multiple examples using R to achieve results, and concludes with a case study. Written by Matt and Joshua F. Wiley, Advanced R Statistical;

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Statistics for Linguists

mathematical details. It contains many applied examples using the R statistical programming environment. Written in an accessible tone and style, this;

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Statistics for Linguists

mathematical details. It contains many applied examples using the R statistical programming environment. Written in an accessible tone and style, this;

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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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Introduction to R for Terrestrial Ecology

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

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R Statistics Cookbook

advanced statistical models in R to understand its concepts Perform Bayesian regression to predict models and input missing data Use time series;

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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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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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Art Of R Programming

economies running smoothly. The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures;

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Data Analysis with R

express complex analytics easily, quickly, and succinctly. Starting with the basics of R and statistical reasoning, this book dives into advanced;

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Beginning Data Science in R 4

number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern;

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Panel Data Econometrics with R

Panel Data Econometrics with R provides a tutorial for using R in the field of panel data econometrics. Illustrated throughout with;

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Advanced R 4 Data Programming and the Cloud

formally inherit from the array class, eliminating inconsistencies. Advanced R 4 Data Programming and the Cloud is not designed to teach advanced;

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Introduction to Deep Learning Using R

can apply the methodology in a variety of contexts. All examples are taught in the R statistical language, allowing students and professionals;

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Simulating Data with SAS

Data simulation is a fundamental technique in statistical programming and research. Rick Wicklin's Simulating Data with SAS brings together;

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Advanced Object-Oriented Programming in R

flexible and extendable software. After reading Advanced Object-Oriented Programming in R, you'll come away with a practical project that you can;

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Statistical Data Analytics

A comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and big data;

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Nonparametric Statistical Methods Using R

A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional;

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Nonparametric Statistical Methods Using R

A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers;

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Statistical Programming in SAS

insight-inspiring data visualizations Parsing, processing, and analyzing text Programming solutions using matrices and connecting to R;

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Statistical Programming in SAS

solutions for data-analytic problems will benefit from this book. The ideal background for a reader is some background in regression modeling and;

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Advanced Statistics for the Behavioral Sciences

the R software environment. Statistical methods are being increasingly developed and refined by computer scientists, with expertise in writing;

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R For Dummies 2Nd Edition

data, merge data sets, split and combine data, perform calculations on vectors and arrays, and so much more. R is an open source statistical;

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R Programming By Example

analysis and work with statistical models using R * Work efficiently with objects without using loops * Create diverse visualizations to gain;

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An R Companion to Linear Statistical Models

theory and applications of linear statistical models and wish to learn or enhance their skills in R; and those who are enrolled in an R-based;

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An R Companion to Linear Statistical Models

theory and applications of linear statistical models and wish to learn or enhance their skills in R; and those who are enrolled in an R-based;

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Production and Efficiency Analysis with R

the statistical software R. Numerous small simulations lead to a deeper understanding of random processes assumed in the models and of the;

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