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Learning RStudio for R Statistical Computing

RStudio. The book is aimed at R developers and analysts who wish to do R statistical development while taking advantage of RStudio functionality;

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RStudio for R Statistical Computing Cookbook

reproducible statistical analyses in your R projects * Use RStudio to design predictive models for a specific domain-based application * Use RStudio;

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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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Mastering RStudio - Develop, Communicate, and Collaborate with R

* Manage the R environment for your organization with RStudio and Shiny server * Apply your obtained knowledge about RStudio and R development to;

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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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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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Statistical Computing with R

statistical problems, making the versatile R language an ideal computing environment for these fields. One of the first books on these topics to;

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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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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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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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Statistical Computing Environments for Social Research

data are analyzed in the chapters on Axis, R-code, and ViSta packages. The chapters in Statistical Computing Environments for Social Research;

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Statistical Computing Environments for Social Research

data are analyzed in the chapters on Axis, R-code, and ViSta packages. The chapters in Statistical Computing Environments for Social Research;

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Beginning R 4

Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical;

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Ready, Set, Go! A Student Guide to SPSS (R) 13.0 and 14.0 for Windows (R)

versions 13.0 and 14.0; through ten guided assignments, students learn about statistical analysis of data while also learning the steps in the;

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Statistical Computing with R, Second Edition

in computational statistics or for self-study, Statistical Computing with R, Second Edition provides a balanced, accessible introduction to computational;

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Learn RStudio IDE

the insights you need in your data science projects. What You Will Learn Quickly, effectively, and productively use RStudio IDE for;

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Practical R 4

. Next, you'll carry out advanced statistical analysis using R and MouselabWeb. Then, you'll see how R can work for you without statistics;

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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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Introdu To Statistical Computing

for exploring statistical models. This book gives a comprehensive introduction to the exciting area of sampling-based methods. An Introduction;

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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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Data Analytics for the Social Sciences

applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter;

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Data Analytics for the Social Sciences

applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter;

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Using R for Introductory Statistics

The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them;

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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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