R Observatory: Metrics for grafify version 5.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

grafify

5.1.0Package record

Easy Graphs for Data Visualisation and Linear Models for ANOVA

0packages depend

6.3Kdownloads / year

37.7%test coverage

13/13flavors OK

Overview

About

Maintained by Avinash R ShenoyCRAN page ↗GitHub ↗

Easily explore data by plotting graphs with a few lines of code. Use these ggplot() wrappers to quickly draw graphs of scatter/dots with box-whiskers, violins or SD error bars, data distributions, before-after graphs, factorial ANOVA and more. Customise graphs in many ways, for example, by choosing from colour blind-friendly palettes (12 discreet, 3 continuous and 2 divergent palettes). Use the simple code for ANOVA as ordinary (lm()) or mixed-effects linear models (lmer()), including randomised-block or repeated-measures designs, and fit non-linear outcomes as a generalised additive model (gam) using mgcv(). Obtain estimated marginal means and perform post-hoc comparisons on fitted models (via emmeans()). Also includes small datasets for practising code and teaching basics before users move on to more complex designs. See vignettes for details on usage https://grafify.shenoylab.com/. Citation: doi:10.5281/zenodo.5136508.

Changes in 5.1.0

This is an update with a new function plot_xy_Group, therefore the number increases to 5.1.0.

Major update

1. New function plot_xy_Group that is for data with numeric variables on both X- and Y-axes and a grouping variable, which can be either categorical or numeric. This function could replace plot_xy_CatGroup and plot_xy_NumGroup in future releases. The new feature is that now data can be summarised as mean and SD/SEM/CI95 or box and whiskers. A line joining the central value (mean or median) can also be added. Alternatively, a fitted smooth "linear" or "loess" line can be added to data. This is added via stat_smooth with lm or loess can also be added.

Minor update

1. Fixed tests to be compatible with latest release of ggplot2.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("grafify", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("ashenoy-cmbi/grafify")

Development version from ashenoy-cmbi/grafify. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-grafify

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-grafify

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-grafify

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 5.2 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK12 OK2026-04-25

Show 1 earlier changeHide 1 earlier change

NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 5.1.0

READMENoVignettesNoNEWSYes · 100% structured · mentions 5.1.0Citation fileYes · computed when R runs it

Help pages: 66
Examples that run: 100%52 run in a plain check
Exported functions with examples: 90%
Documented parameters: 97%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

6.3K

CRAN downloads in the past year

Rank #5,462 · ~17/day · ~528/mo

Releases R versions

Daily download trend is not available in this view yet.

65030 days

1.5K90 days

6.3K1 year

Compare downloads with other packages →

Also on118 r2u7 autocran1.8K conda_forge

How downloads are counted

Repository

ashenoy-cmbi/grafify ↗Account: ashenoy-cmbi

57Stars

8Forks

0Open issues

1Open PRs

20Releases

208Commits

3Commit identities

linear-modelspost-hoc-comparisonsvignettesstatisticsggplot2r

208 commits · Last activity 2025-08-25 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 67%
Median days to close, 50 most recently updated closed issues: 30
Median days to close, 50 most recently updated closed PRs: 3

Stars over time

2025-06-12 · 502026-07-31 · 57

How these are measured

PracticesBeta

5 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/ashenoy-cmbi/grafify on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (2)

pkgdown

GitHub Pages site last deployed 2025-08-25

CRAN release process (1)

CRAN-SUBMISSION

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

16 external dependencies (excludes base and recommended)

Installing grafify adds 93 packages (48 with compiled code, 86 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (2)

R >= 4.0ggplot2

Imports (12)

car dplyr emmeans Hmisc lme4 lmerTest magrittrmgcvpatchwork purrrstatstidyr

LinkingTo (0)

none

Suggests (6)

knitrMatrixrlang rmarkdown pbkrtest testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Avinash R Shenoy

Maintainer since 2.0.0 (2022), Author

Releases (12)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
5.1.0Latest
record
2025-08-25 · current release · diff ↗ ·
added 1 export
plot_xy_Group
R
R 4.5.0 released · 2025-04-11
5.0.0.1
record
2025-03-10 · diff ↗
5.0.0
record
2025-03-09 · diff ↗
R
R 4.4.0 released · 2024-04-24
4.0.1
record
2024-02-25 · diff ↗
4.0
record
2023-10-07 · diff ↗ ·
added 2 exports
plot_3d_point_sd, plot_4d_point_sd
3.2.0
record
2023-04-30 · diff ↗
R
R 4.3.0 released · 2023-04-21
3.0.1
record
2023-02-07 · diff ↗ ·
removed 1 export
plot_bar_sd
3.0.0
record
2022-10-23 · diff ↗ ·
removed 2 exports
colorRampPalette_d, colorRamp_d

added 10 exports
ga_anova, ga_model, plot_befafter_box, plot_gam_predict, plot_lm_predict, plot_logscale, plot_qq_gam, table_summary, table_x_reorder, theme_grafify
2.3.0
record
2022-05-30 · diff ↗ ·
removed 14 exports
plot_bar_sd_sc, plot_dotbar_sd_sc, plot_dotbox_sc, plot_dotviolin_sc, plot_point_sd_sc, plot_scatterbar_sd_sc, plot_scatterbox_sc, plot_scatterviolin_sc, scale_color_grafify2, scale_color_grafify_c, scale_colour_grafify2, scale_colour_grafify_c, scale_fill_grafify2, scale_fill_grafify_c
R
R 4.2.0 released · 2022-04-22
2.2.0
record
2022-03-24 · diff ↗ ·
removed 1 export
posthoc_Trends

added 2 exports
plot_3d_scatterviolin, plot_4d_scatterviolin
2.1.0
record
2022-01-28 · diff ↗ ·
added 3 exports
posthoc_Trends_Levelwise, posthoc_Trends_Pairwise, posthoc_Trends_vsRef

Show 2 earlier eventsHide 2 earlier events

2.0.0
record
2022-01-20
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2022-01-20
Total releases: 12 / 4 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 4.0
Bundled data: 24 KB / 8 files
Download size: 3.8 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("grafify")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for grafify version 5.1.0 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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