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Reproducible Research with R and RStudio

Provides researchers with a reproducible research workflow for using RRStudio to make the entire researchprocess reproducible; from data;

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Reproducible Research with R and RStudio

Provides researchers with a reproducible research workflow for using RRStudio to make the entire researchprocess reproducible; from data;

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Learning RStudio for R Statistical Computing

A practical tutorial covering how to leverage RStudio functionality to effectively perform R Development, analysis, and reporting with;

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Reproducible Research with R and R Studio

All the Tools for Gathering and Analyzing Data and Presenting Results Reproducible Research with R and RStudio;

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R In Finance And Economics

This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics;

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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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R Markdown

. He wrote the lubridate R package and works for RStudio as an advocate who trains engineers to do data science with R and the Tidyverse.;

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R Markdown

. He wrote the lubridate R package and works for RStudio as an advocate who trains engineers to do data science with R and the Tidyverse.;

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Mastering RStudio - Develop, Communicate, and Collaborate with R

* Discover the multi-functional use of RStudio to support your daily work with R code * Learn to create stunning, meaningful, and interactive graphs;

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Data Analysis with RStudio

The objective of this text is to introduce RStudio to practitioners and students and enable them to use R in their everyday work. It is not;

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Learn RStudio IDE

with ggplot; and create custom R packages and web-based interactive visualizations with Shiny. In addition, you will cover common data analysis;

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Introduction to R for Business

Designed to provide Business students and professionals with a pragmatic introduction to R, RStudio, Git, GitHub, and GitKraken in the;

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A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio

source software R.;

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Modern Data Science with R

using R and Rstudio A true blend of statistics and computer science -- not just a grab bag of topics from each;

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Practical R 4

Get started with an accelerated introduction to the R ecosystem, programming language, and tools including R script and RStudio. Utilizing;

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Data Science for Business With R

text also features full integration of R and RStudio software.;

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A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio

is based on R for EFA - a highly popular and free to use statistics software package. 3. Clear step-by-step guidance combined with screen shots to;

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A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio

is based on R for EFA - a highly popular and free to use statistics software package. 3. Clear step-by-step guidance combined with screen shots to;

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Bayesian Networks

Explains the material step-by-step starting from meaningful examples Steps detailed with R code in the spirit of reproducible research Real;

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SAS and R

EditionThis edition now covers RStudio, a powerful and easy-to-use interface for R. It incorporates a number of additional topics, including using;

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Statistics with R

Statistics is made simple with this award-winning guide to using R and applied statistical methods. With a clear step-by-step;

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Statistics with R

Statistics is made simple with this award-winning guide to using R and applied statistical methods. With a clear step-by-step;

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Using R and RStudio for Data Management, Statistical Analysis, and Graphics

Improve Your Analytical Skills Incorporating the latest R packages as well as new case studies and applications, Using R and RStudio for;

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R Primer

frequently encountered by new users of this statistical software. This new edition adds coverage of R Studio and reproducible research.;

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R Primer Chapman HallCRC The R Series

frequently encountered by new users of this statistical software. This new edition adds coverage of R Studio and reproducible research.;

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Reproducible Research in Pattern Recognition

focused on reproducible research frameworks. The second category focused on reproducible research results and the last category included ICPR;

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Introduction to Mathematics for Economics with R

through foundational topics in linear algebra, calculus, and optimization. The book is organized in order of increasing difficulty, beginning with;

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