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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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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stringr.plus
stringr.plus provides additional functions for working with strings, especially for extracting specific text from URLs and file paths. It is a package for the R programming language.
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Working with Strings in R: Seattle Pet Names
This is a tutorial on how to work with strings in R using the 'stringr' package and the 'rebus' package. The tutorial uses the 'Seattle Pet Names' dataset from TidyTuesday and focuses on the names given to cats and dogs. It demonstrates the manipulation of strings by removing punctuation and excess white space from the names.
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