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toolero: A Toolkit for Research Workflows

Provides utility functions to help researchers implement best practices for their coding projects. Includes tools for reading and cleaning data files, initializing R projects with a standard folder structure and optional YAML configuration, creating 'Quarto' documents from reproducible templates with optional sample data and custom styling, detecting the execution context across interactive, 'Quarto', and script-based workflows, splitting data frames into group-level output files, applying analysis functions to each group with optional parallel execution, and rendering syntactic tree diagrams as standalone PNG images via 'Typst'.

Version: 0.4.0
Depends: R (≥ 4.2.0)
Imports: cli, fs, glue, janitor, lifecycle, parallelly, purrr, quarto, readr, renv, rlang, rvest, tibble, tidyr, usethis, withr, xml2, yaml
Suggests: dplyr, furrr, future, knitr, pdftools, rmarkdown, spelling, testthat (≥ 3.0.0)
Published: 2026-07-16
DOI: 10.32614/CRAN.package.toolero
Author: Erwin Lares ORCID iD [aut, cre]
Maintainer: Erwin Lares <erwin.lares at wisc.edu>
BugReports: https://github.com/erwinlares/toolero/issues
License: MIT + file LICENSE
URL: https://github.com/erwinlares/toolero, https://erwinlares.github.io/toolero/
NeedsCompilation: no
Language: en-US
Citation: toolero citation info
Materials: README, NEWS
CRAN checks: toolero results

Documentation:

Reference manual: toolero.html , toolero.pdf
Vignettes: Rendering Syntactic Trees with arborize() (source, R code)
Writing context-aware R code with 'detect_execution_context()' (source, R code)
Getting started with toolero (source, R code)

Downloads:

Package source: toolero_0.4.0.tar.gz
Windows binaries: r-devel: toolero_0.3.0.zip, r-release: toolero_0.3.0.zip, r-oldrel: toolero_0.3.0.zip
macOS binaries: r-release (arm64): toolero_0.3.0.tgz, r-oldrel (arm64): toolero_0.3.0.tgz, r-release (x86_64): toolero_0.3.0.tgz, r-oldrel (x86_64): toolero_0.3.0.tgz
Old sources: toolero archive

Reverse dependencies:

Reverse suggests: submitr

Linking:

Please use the canonical form https://CRAN.R-project.org/package=toolero to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.