Interpreted string literals for R that embed expressions in curly braces for easy data interpolation.
glue is an R package that provides interpreted string literals for embedding R expressions directly within strings. It solves the problem of messy string concatenation by allowing developers to insert variables and expressions using a simple curly brace syntax, making code more readable and maintainable.
R developers and data scientists who need to generate dynamic strings, format output, or create SQL queries within their R workflows, especially those using the tidyverse ecosystem.
Developers choose glue for its minimal dependencies, fast performance, and intuitive syntax that reduces the complexity of string manipulation compared to base R functions like `paste()` or `sprintf()`.
Glue strings to data in R. Small, fast, dependency free interpreted string literals.
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Embeds R expressions within {} for direct evaluation, making code more readable and reducing syntactical noise compared to paste() or sprintf().
Interpolates from local environment, named arguments, or data frames via glue_data(), seamlessly adapting to various data sources in R workflows.
Trims empty lines and common leading whitespace while preserving indentation, ensuring clean multi-line strings without manual adjustment.
Works with vectorized data to produce strings for each row in data frames, ideal for data-driven outputs like reports or messages.
Includes glue_sql() for safe SQL query building and custom knitr engines for R Markdown, extending utility beyond basic string interpolation.
Focuses on interpolation; lacks built-in tools for regex operations, locale-specific formatting, or conditional string logic, requiring additional packages.
While dependency-free, its integration with stringr and tidyverse may encourage lock-in, complicating transitions for teams using base R exclusively.
For massive datasets, vectorized operations in glue_data() can be memory-intensive compared to optimized, low-level string concatenation methods.