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$ show tidyverse/magrittr

[account ↗] [repo ↗] APPLICATION ★ 971 161 ● active (last update 6 months ago)
reviewed by: nvidia/nemotron-3-super-120b-a12b

magrittr is an R package that provides forward-pipe operators for chaining operations, most notably the %>% operator. The package transforms sequences of nested function calls into left-to-right pipelines, improving code readability and maintainability. Implemented with a hybrid R/C architecture, the core pipe logic is written in C for performance while maintaining R's semantics. The package supports lazy evaluation (since v2.0), allowing proper handling of warnings, errors, and side effects in pipelines. It includes specialized operators for assignment (%<>%), tee (%T>%), and exposition (%$%), plus aliases for base R operators to facilitate pipeline usage. The architecture features non-standard evaluation to capture pipeline expressions, which are then transformed and executed via a C backend. Lazy evaluation is implemented using R's promise mechanism, ensuring expressions are only evaluated when needed while preserving proper visibility semantics. The package also supports building functional sequences (unary functions) from pipelines starting with the placeholder dot (.).

RATING9.0/10
QUALITY9.0/10
MAINTENANCEactive
DRIFTlow
CONTRIBUTORS33
VELOCITY0.55
OPEN ISSUES27
CLOSED ISSUES180
LAST COMMIT6 months ago
Files by Type (count)
R
17
Other (.Rd)
15
Markdown
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Other (.png)
12
YAML
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Other (no ext)
6
Git Ignore
5
Other (.Rmd)
3
Other (.svg)
2
C
2
Other (.Rproj)
1
Other (.ico)
1
Files by Type (size)
Other (.png)
189KB
Other (.jpg)
92KB
Markdown
80KB
Other (.svg)
43KB
R
31KB
Other (.Rmd)
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Other (.Rd)
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Other (.ico)
14KB
C
13KB
YAML
8KB
Other (no ext)
2KB
C/C++ Header
1KB

The LLM identified 1 files worth highlighting for reuse:

Implements a clean, self-contained function for applying a list of functions sequentially to a value. Properly handles R's visible/invisible return mechanism using withVisible(), making it safe for use with any R functions. Zero dependencies beyond base R, easily extractable to other projects. Demonstrates solid understanding of R's evaluation model and edge cases.

file: R/freduce.R ↗ | tags: #functional-composition #sequential-application
Last analyzed: 2026-07-28 01:56:43.976870
Next check: 2026-08-04 01:56:43.972444
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