RStudio for R Statistical Computing Cookbook
About this ebook
This book is targeted at R statisticians, data scientists, and R programmers. Readers with R experience who are looking to take the plunge into statistical computing will find this Cookbook particularly indispensable.
What You Will LearnFamiliarize yourself with the latest advanced R console featuresCreate advanced and interactive graphicsManage your R project and project files effectivelyPerform reproducible statistical analyses in your R projectsUse RStudio to design predictive models for a specific domain-based applicationUse RStudio to effectively communicate your analyses results and even publish them to a blogPut yourself on the frontiers of data science and data monetization in R with all the tools that are needed to effectively communicate your results and even transform your work into a data productIn DetailThe requirement of handling complex datasets, performing unprecedented statistical analysis, and providing real-time visualizations to businesses has concerned statisticians and analysts across the globe. RStudio is a useful and powerful tool for statistical analysis that harnesses the power of R for computational statistics, visualization, and data science, in an integrated development environment.
This book is a collection of recipes that will help you learn and understand RStudio features so that you can effectively perform statistical analysis and reporting, code editing, and R development. The first few chapters will teach you how to set up your own data analysis project in RStudio, acquire data from different data sources, and manipulate and clean data for analysis and visualization purposes. You'll get hands-on with various data visualization methods using ggplot2, and you will create interactive and multidimensional visualizations with D3.js. Additional recipes will help you optimize your code; implement various statistical models to manage large datasets; perform text analysis and predictive analysis; and master time series analysis, machine learning, forecasting; and so on. In the final few chapters, you'll learn how to create reports from your analytical application with the full range of static and dynamic reporting tools that are available in RStudio so that you can effectively communicate results and even transform them into interactive web applications.
Style and approachRStudio is an open source Integrated Development Environment (IDE) for the R platform. The R programming language is used for statistical computing and graphics, which RStudio facilitates and enhances through its integrated environment.
This Cookbook will help you learn to write better R code using the advanced features of the R programming language using RStudio. Readers will learn advanced R techniques to compute the language and control object evaluation within R functions. Some of the contents are:
Accessing an API with RSubstituting missing values by interpolationPerforming data filtering activitiesR Statistical implementation for Geospatial dataDeveloping shiny add-ins to expand RStudio functionalitiesUsing GitHub with RStudioModelling a recommendation engine with RUsing R Markdown for static and dynamic reportingCurating a blog through RStudioAdvanced statistical modelling with R and RStudioAbout the author
Andrea Cirillo is currently working as an internal auditor at Intesa Sanpaolo banking group. He gained a lot of financial and external audit experience at Deloitte Touche Tohmatsu and internal audit experience at FNM, a listed Italian company. His current main responsibilities involve evaluation of credit risk management models and their enhancement mainly within the field of the Basel III capital agreement. He is married to Francesca and is the father of Tommaso, Gianna, and Zaccaria. Andrea has written and contributed to a few useful R packages and regularly shares insightful advice and tutorials about R programming. His research and work mainly focuses on the use of R in the fields of risk management and fraud detection, mainly through modeling custom algorithms and developing interactive applications.
