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Statistical Software

About R

R logoR is a statistical programming language that has recently seen increased used in text analysis. RStudio is the Integrated Development Environment (IDE) for working on R projects.

You can find more information about R and RStudio on Sarah Stanley's Guide on Text Analysis

R Workshop

 

 

The video displayed is a workshop included in the FSU STEM Data Workshop Series hosted at Dirac Library. Visit FSU Libraries on YouTube for more video guides.

This workshop is held by Sarah Stanley, the Digital Humanities Librarian in the Office of Digital Research and Scholarship at FSU Libraries.

 

Tutorials

  • Guru99
  • Reading tutorials for beginner users.

  • LinkedIn Learning
  • LinkedIn Learning offer tutorials from beginner to intermediate and advanced for R. This service can be accessed for free through your FSU account under Resources.

  • Codecademy
  • In this course, you’ll be exposed to fundamental programming concepts in R. After the basics, you’ll learn how to organize and modify data frames, a useful data structure in R.. Then you’ll learn how to clean messy data so it’s ready for analysis.

  • Coursera
  • Offers courses at the intermediate level for R.

  • Workshops held by the Office of Digital Research and Scholarship

Further Reading

  • FSU Libraries' Resources
  • Listing of the online and physical resources FSU Libraries provides access to.

  • R Project
  • Getting started with and documentation fro R.

  • Towards Data Science
  • A guide to R from the history behind the program to companies and the future job scope of those that use it.

  • Text Analysis with R for Students of Literature
  • A practical introduction to computational text analysis using the open source programming language R.

  • R Basics with Tabular Data
  • Lesson which teaches a way to quickly analyze large volumes of tabular data, making research faster and more effective.

  • Text Mining with R
  • An introduction of text mining using the tidytext package and other tidy tools in R.

FAQs

  • R-bloggers
  • A blog aggregator of content contributed by bloggers who write about R.

  • StackOverflow
  • A community hub of R users answering and posing FAQs.

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