Here, free means not only free of charge (as in free beer) but also free as in freedom.
#R STUDIO HELP SOFTWARE#
A few words about R: R is a free software tool for statistical analyses comprised of the R programming language and the R environment. In the coming chapters we will cover most of RStudio's features, and emphasize some best practices in statistical data analyses. This book is aimed at beginning and moderate R users who want to get the most out of R and RStudio. In that case, RStudio's interface will run in your browser. Additionally, it can be used to run R on a remote web server.
#R STUDIO HELP MAC OS#
RStudio runs on all the major operating systems, including Windows, Linux, and Mac OS X. Share your code and collaborate with other users Maintain the packages in your R installation Organize your code and maintain multiple projects Work with R and R's graphics interactively RStudio™ is a free and open source tool that makes it easier for you to do the following: Needless to say, things can become even more difficult when collaborating with a number of people on such projects. Moreover, as a project turns more and more into a spaghetti of files and folders, reproducing exactly what you did becomes harder and harder. Re-running calculations, and re-inserting figures, tables, and results can take a lot of time. If this sounds familiar, you probably also had to rewrite pieces of your report while debugging your analyses, or when receiving updates of your data sets. If you have ever had to analyze data for work, study, or a research project you'd have probably run into a situation where you ended up with a messy kludge of temporary files, scripts, and intermediate results that are almost impossible to untangle. We will first show a simple RStudio session that already results in a simple, fully reproducible report. An introduction to the concepts of reproducible research will be given.
#R STUDIO HELP HOW TO#
This chapter shows how to obtain R and RStudio.
"Learning RStudio for R Statistical Computing" is stuffed with feature-rich and easy-to-understand examples, through step-by-step instructions helping you to quickly master the most popular IDE for R development. You will then be able to explore the available features for effective coding, graphical analysis, R project management, report generation, and even project management. The book starts with a quick introduction where you will learn to load data, perform simple analysis, plot a graph, and generate automatic reports. This book will help you to learn and understand RStudio features to effectively perform statistical analysis and reporting, code editing, and R development. R developers will learn about package development, coding principles, and version control with RStudio. "Learning RStudio for R Statistical Computing" will teach you how to quickly and efficiently create and manage statistical analysis projects, import data, develop R scripts, and generate reports and graphics. This book will show you how to deal with it like never before, thus providing an edge and improving productivity. The necessity to handle many, complex statistical analysis projects is hitting statisticians and analysts across the globe. Data is coming at us faster, dirtier, and at an ever increasing rate.
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