Resources
This carefully curated collection of resources will help you find packages and learning resources to help you on your R journey.
A Scientist's Guide to R: Step 2.3 - string manipulation and regex
A Scientist's Guide to R: Step 2.3 - string manipulation and regex
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Baby got backreferences
This content is a written confession of a data practitioner about their struggle with and reluctant embrace of regular expressions. The author describes emotions and thoughts they undergo when considering the use of regular expressions for text manipulation tasks. The narrative is coupled with humorous references to fantasy elements such as Mordor and Sauron from 'The Lord of the Rings'. Despite self-admittedly not being an expert, the author offers a guide for regular expressions in R, beginning with loading the stringr package and reading song lyrics which serve as examples for pattern matching exercises.
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RegExplain
🕵️♂️ RegExplain is an RStudio addin and utility belt for regular expressions. It allows users to interactively build and test regular expressions, check the output of string matching functions, and consult help pages and resources.
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resouRces
This content encompasses a comprehensive list of R-related educational materials, packages, tutorials, and datasets with projected dates ranging up to the year 2025. It includes various titles that focus on learning R programming, data analysis, data visualization, geospatial mapping, and statistical methods. Significant emphasis is placed on resources for learning R, such as introductions to R, books, courses, and video tutorials. Additionally, specific packages for data wrangling, statistical modeling, and visualization are mentioned, indicating the evolution and specialization of R's ecosystem to cater to diverse data science needs.
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RVerbalExpressions
RVerbalExpressions is an R package that makes it easier to construct regular expressions using grammar and functionality inspired by VerbalExpressions.
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