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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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Beginning Data Science in R 4

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist;

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LabVIEW Graphical Programming, Fifth Edition

*Data acquisition *Object-oriented programming in LabVIEW *Frameworks, including the Delacor Queued Message Handler (DQMH (R)) and Actor;

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Beginning Data Science in R 4

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist;

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Advanced R Statistical Programming and Data Models

, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes;

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R 4 Data Science Quick Reference

, magnittr, dplyr, purrr, ggplot2, modelr, and more. With R 4 Data Science Quick Reference, you'll have the code, APIs, and insights to write data;

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Advanced Object-Oriented Programming in R

Learn how to write object-oriented programs in R and how to construct classes and class hierarchies in the three object-oriented systems;

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Software for Data Analysis

packages provide a powerful mechanism for contributions to be organized and communicated. This is the only advanced programming book on R, written;

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R 4 Data Science Quick Reference

, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more. With R 4 Data Science Quick Reference, you'll have the code, APIs, and insights;

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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 for Data Analysis in easy steps

The R language is widely used by statisticians for data analysis, and the popularity of R programming has therefore increased substantially;

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Mastering Parallel Programming with R

, and hybrid parallel R programs In Detail R is one of the most popular programming languages used in data science. Applying R to big data;

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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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Learning R Programming

Become an efficient data scientist with R About This Book * Explore the R language from basic types and data structures to advanced;

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Computing with Data

programming tools, big data frameworks, and cloud computing. The book is fashioned with several audiences in mind. Readers without a strong;

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Mastering Cloud Computing

computing, and data-intensive systems. The book introduces the principles of distributed and parallel computing underlying cloud architectures;

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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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Julia 1.0 Programming Cookbook

processing, and cloud computing with Julia. By the end of the book, you will have acquired the skills to work more effectively with your data What;

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A Primer in Biological Data Analysis and Visualization Using R

R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data;

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A Primer in Biological Data Analysis and Visualization Using R

R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data;

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Practical R 4

many examples and projects, this book teaches you how to get data into R and how to work with that data using R. Once grounded in the;

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Trustworthy Cloud Computing

readers to grasp the introductory and advanced level concepts of cloud computing. * Examines cloud computing platforms such as Microsoft Azure;

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Scientific and Engineering C++

commonality and abstraction, and the advanced coverage illustrates coordination of advanced C++ by developing several interesting examples, including;

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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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R for Cloud Computing

R for Cloud Computing looks at some of the tasks performed by business analysts on the desktop (PC era) and helps the user navigate the;

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Cloud Computing Security

to a wide range of cloud computing security issues. As more organizations use cloud computing and cloud providers for data operations, the;

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