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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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RStudio. The book is aimed at R developers and analysts who wish to do R statistical development while taking advantage of RStudio functionality;
Vergelijkbare producten zoals Learning RStudio for R Statistical Computing
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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* 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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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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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 problems, making the versatile R language an ideal computing environment for these fields. One of the first books on these topics to;
Vergelijkbare producten zoals Statistical Computing with R
. 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.;
Vergelijkbare producten zoals 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 is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data;
Vergelijkbare producten zoals 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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This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics;
Vergelijkbare producten zoals R In Finance And Economics
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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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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in computational statistics or for self-study, Statistical Computing with R, Second Edition provides a balanced, accessible introduction to computational;
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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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. 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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for exploring statistical models. This book gives a comprehensive introduction to the exciting area of sampling-based methods. An Introduction;
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Provides researchers with a reproducible research workflow for using RRStudio to make the entire researchprocess reproducible; from data;
Vergelijkbare producten zoals Reproducible Research with R and RStudio
Provides researchers with a reproducible research workflow for using RRStudio to make the entire researchprocess reproducible; from data;
Vergelijkbare producten zoals Reproducible Research with R and RStudio
Statistics is made simple with this award-winning guide to using R and applied statistical methods. With a clear step-by-step;
Vergelijkbare producten zoals 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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development of statistical theory. At the same time, the computational methods used in statistical work span much of computer science. Elements;
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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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Designed to provide Business students and professionals with a pragmatic introduction to R, RStudio, Git, GitHub, and GitKraken in the;
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This manual provides an introduction to R , a software package for statistical computing and graphics. R is free software, distributed;
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This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using the open;
Vergelijkbare producten zoals A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio
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