R Observatory: Metrics for LipidomicsR version 0.3.6

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

LipidomicsR

0.3.6Package record

Elegant Tools for Processing and Visualization of Lipidomics Data

0packages depend

2.5Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Hengyu ZhuCRAN page ↗GitHub ↗Issues ↗

An elegant tool for processing and visualizing lipidomics data generated by mass spectrometry. 'LipidomicsR' simplifies channel and replicate handling while providing thorough lipid species annotation. Its visualization capabilities encompass principal components analysis plots, heatmaps, volcano plots, and radar plots, enabling concise data summarization and quality assessment. Additionally, it can generate bar plots and line plots to visualize the abundance of each lipid species.

Install

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

install.packages("LipidomicsR", 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("mingshi1/LipidomicsR")

Development version from mingshi1/LipidomicsR. 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-lipidomicsr

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-LipidomicsR

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-LipidomicsR

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: 3.2 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09

Show 2 earlier changesHide 2 earlier changes

ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.3.6

READMEYes · 63 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 28
Examples that run: 100%8 run in a plain check
Exported functions with examples: 42%
Documented parameters: 96%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

2.5K

CRAN downloads in the past year

Rank #17,694 · ~7/day · ~210/mo

Releases R versions

Daily download trend is not available in this view yet.

32430 days

71590 days

2.5K1 year

Compare downloads with other packages →

Also on67 r2u1 autocran

How downloads are counted

Repository

mingshi1/lipidomicsr ↗Account: mingshi1

2Stars

0Forks

0Open issues

0Open PRs

0Releases

7Commits

2Commit identities

License file reads as MIT · 7 commits · Last activity 2024-04-21 · 0% stars, 30d

Responsiveness

not measured

Stars over time

2025-10-17 · 22026-07-07 · 2

How these are measured

PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/mingshi1/lipidomicsr on 2026-10-11.

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

20 external dependencies (excludes base and recommended)

Installing LipidomicsR adds 165 packages (84 with compiled code, 123 MB of source tarballs). Heaviest: stringi 11 MB, TH.data 8.2 MB, ggplot2 6.0 MB.

Depends (1)

tidyverse

Imports (19)

broom car ggiraph rcompanion tidyr cowplot dplyr fmsb ggplot2 ggplotify ggrepel pheatmap RColorBrewer reshape2 scales stringr tidyselect ggforce ggsci

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Hengyu Zhu

Author, Maintainer since 0.1.0 (2024)

Mingshi Li

Author, Compiler

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.3.6Latest
record
2024-04-22 · current release · diff ↗ ·
removed 1 export
cleanXpert

added 3 exports
groupXpert, rsd_calculator, total.abundance
0.1.6
record
2024-03-17 · diff ↗
0.1.0
record
2024-03-14
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2024-03-14
Total releases: 3 / 2 yrs
License: MIT + file LICENSE OSI
Download size: 32 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LipidomicsR")

Format

Zhu, H., & Li, M. (2024). LipidomicsR: Elegant Tools for Processing and Visualization of Lipidomics Data (Version 0.3.6) [Computer software]. https://doi.org/10.32614/CRAN.package.LipidomicsR

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for LipidomicsR version 0.3.6 [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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