Static Code Analysis for R

In computer programming, "linting" is the process of analyzing the source code to identify possible programming and stylistic problems (Wikipedia contributors, 2024a) and a linter is a tool used for linting.A linter analyzes code to identify potential errors, stylistic issues, or deviations from coding standards.It helps ensure consistency, readability, and best practices by flagging common mistakes, such as syntax errors, unused variables, or improper formatting.Linters are essential for improving code quality, preventing bugs, and maintaining a clean codebase, especially in collaborative development environments (Wikipedia contributors, 2024b).{lintr} is an open-source package that provides linters for the R programming language, which is an interpreted, dynamically-typed programming language (R Core Team, 2023), and is used by a wide range of researchers and data scientists.{lintr} can thus act as a valuable tool for R users to help improve the quality and reliability of their code.

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Publication Details

Journal
The Journal of Open Source Software
Published
2025-04-03
DOI
https://doi.org/10.21105/joss.07240
Primary Topic
Data Analysis with R
Type
article
Field-Weighted Citation Impact
0.00
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article

Static Code Analysis for R

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Static Code Analysis for R

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article en

Abstract

In computer programming, "linting" is the process of analyzing the source code to identify possible programming and stylistic problems (Wikipedia contributors, 2024a) and a linter is a tool used for linting.A linter analyzes code to identify potential errors, stylistic issues, or deviations from coding standards.It helps ensure consistency, readability, and best practices by flagging common mistakes, such as syntax errors, unused variables, or improper formatting.Linters are essential for improving code quality, preventing bugs, and maintaining a clean codebase, especially in collaborative development environments (Wikipedia contributors, 2024b).{lintr} is an open-source package that provides linters for the R programming language, which is an interpreted, dynamically-typed programming language (R Core Team, 2023), and is used by a wide range of researchers and data scientists.{lintr} can thus act as a valuable tool for R users to help improve the quality and reliability of their code.

The Journal of Open Source SoftwareVol. 10(108)
Google (United States) (US), Carl Zeiss (Germany) (DE), The University of Queensland (AU), Heinrich Heine University Düsseldorf (DE), Netflix (United States) (US)
Openalex Percentile: Top 97%
Data Analysis with R
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