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shadowtext

0.1.6Package record

Shadow Text Grob and Layer

4packages dependsuggested by 2
267.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Implement shadowtextGrob() for 'grid' and geom_shadowtext() layer for 'ggplot2'. These functions create/draw text grob with background shadow.

Changes in 0.1.6
  • add geom_shadowtext_interactive() (2025-08-24, Sun, #18)

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.9 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.6
README· In the repository, left out of the releaseVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.1.6Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
8 (2 internal)includes a package overview page
Examples that run
100%1 run in a plain check
Exported functions with examples
14%
Documented parameters
98%
Return-value docs
43%
Help pages citing references
0%

Downloads

267.1K
CRAN downloads in the past year
Rank #737 · ~732/day · ~22.3K/mo
Daily download trend is not available in this view yet.
18.7K30 days
68.8K90 days
267.1K1 year
Compare downloads with other packages →
Also on1K r2u7 autocran58.4K conda_forge174 c2d4u

Repository

42Stars
7Forks
0Open issues
0Open PRs
0Releases
56Commits
6Commit identities
56 commits · Last activity 2025-09-01 · +2.4% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
89%
Median days to close, 50 most recently updated closed issues
44
Median days to close, 50 most recently updated closed PRs
1

Stars over time

2025-07-07 · 372026-10-17 · 42
PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/guangchuangyu/shadowtext on 2026-10-11.

Reproducibility and dev environment (1)
Makefile
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing shadowtext adds 55 packages (29 with compiled code, 44 MB of source tarballs). Heaviest: ggplot2 6.0 MB, bslib 5.6 MB, fontLiberation 4.3 MB.

Depends (1)
R >= 3.4.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
4direct
3indirect
Imports 4
Suggested by 2
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

People & History

People (2)
Author, Maintainer since 0.0.2 (2017), Copyright holder
Contributor · added in 0.1.6
Releases (15)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.6Latest
    record
    2025-08-24 · current release · diff ↗ ·
    added 2 exports
    GeomInteractiveShadowtext, geom_shadowtext_interactive
  • 0.1.5
    record
    2025-06-30 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.4
    record
    2024-07-18 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.3
    record
    2024-01-19 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.2
    record
    2022-04-22 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.1
    record
    2022-01-10 · diff ↗
  • 0.1.0
    record
    2021-12-20 · diff ↗ ·
    added 1 export
    GeomShadowtext
  • 0.0.9
    record
    2021-09-19 · diff ↗ ·
    added 1 export
    GeomShadowText
  • R
    R 4.1.0 released · 2021-05-18
  • 0.0.8
    record
    2021-04-23 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
Show 9 earlier eventsHide 9 earlier events

Package metadata

First published
2017-10-30
Total releases
15 / 9 yrs
License
Artistic-2.0 OSI
Minimum R
≥ 3.4.0
Download size
170 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("shadowtext")
Yu, G., & Xu, S. (2025). shadowtext: Shadow Text Grob and Layer (Version 0.1.6) [Computer software]. https://doi.org/10.32614/CRAN.package.shadowtext

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for shadowtext version 0.1.6 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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