Resources
This carefully curated collection of resources will help you find packages and learning resources to help you on your R journey.
For fs – Notes from a data witch
The blog post discusses the 'fs' R package, which provides a cross-platform interface for filesystem operations, replacing base R functions like file.path(). Despite the belief that such a package is boring, the author emphasizes the hidden nuances and pitfalls in seemingly simple tasks like specifying file paths. The post illustrates the benefits of using fs's path() function over paste() to avoid errors in large projects where file paths could become complex to handle. The inclusion of a conversation with the author's alter ego adds humor, portraying the challenge in writing about a technical and unglamorous tool.
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formattable
This package is designed for applying formatting on vectors and data frames to make data presentation easier, richer, more flexible and hopefully convey more information.
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Formatted Spreadsheets to gts • forgts
The forgts package provides a way to convert spreadsheets into gt tables while preserving cell and text formatting from the original file. It supports a variety of format attributes, including font styles, cell fills, and borders, but intentionally ignores header formatting. This tool iterates over the gt defaults to apply necessary styling. Useful in data reporting and visualization, forgts allows easy installation from GitHub and seamless integration with RMarkdown and Quarto, completed by exporting functionalities with gt::gtsave(). It facilitates creating visually consistent tables for analysis and presentation within the R ecosystem.
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Four ways to write assertion checks in R
This content provides a personal narrative detailing the importance of writing assertion checks in R, particularly when dealing with data that can change structure over time. The author shares a transformation from a confident young analyst to one who has learned to be cautious and employ defensive programming techniques. The focus is on the 'identifier' function, illustrating the need for assertions with 'stopifnot()' to handle unexpected and incorrect inputs. The article emphasizes rigorous validation of assumptions to prevent silent errors in code.
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Full-Stack Survey Research with SurveyMonkey • svmkR
This package provides a suite of tools to work with SurveyMonkey surveys in R.
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Full-Stack Survey Research with SurveyMonkey • svmkR
svmkR is an R package that provides a comprehensive toolkit for managing SurveyMonkey surveys within the R programming environment. It enables users to create, upload, download, and analyze surveys directly from R. Users can calculate margins of error, apply statistical survey weights through raking, and generate SurveyMonkey-style banner presentations for polls. The package is installed from GitHub and serves as a full-stack survey research solution. The source is available on GitHub, and the package was developed by a team of contributors, building on the surveymonkey package by enhancing and refactoring it.
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Functions and Themes for gt tables
A tutorial on using functions and themes for creating gt tables in R language.
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Gentelella Shiny
This is an R Shiny HTML Template version of the gentelella bootstrap theme. It provides a unique looking Shiny dashboard with features like login authentication, dynamic progress bar visualization, custom boxes for plots, and more.
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Geocomputation with R
Geocomputation with R is a book on geographic data analysis, visualization, and modeling. It covers various topics related to working with geographic data in R.
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