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visvaR

1.0.0

Shiny-Based Statistical Solutions for Agricultural Research

0packages depend
6Kdownloads / year
34.1%test coverage
13/13checks pass

Overview

About
Maintained by Ramesh RamasamyFirst published 2024-11-141 releasesCRAN page ↗GitHub ↗

Visualize Variance is an intuitive 'shiny' applications tailored for agricultural research data analysis, including one-way and two-way analysis of variance, correlation, and other essential statistical tools. Users can easily upload their datasets, perform analyses, and download the results as a well-formatted document, streamlining the process of data analysis and reporting in agricultural research.The experimental design methods are based on classical work by Fisher (1925) and Scheffe (1959). The correlation visualization approaches follow methods developed by Wei & Simko (2021) and Friendly (2002) doi:10.1198/000313002533.

Install

Health

CRAN checks
13OK
Slowest check: 2.4 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.19
34.1%
Coverage · measured lines
100%
Documentation · exports
20
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 139 wordsVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
not tracked
Return-value docs
100%
References docs
83%

Downloads

6K
CRAN downloads in the past year
Rank #7,971 · ~16/day · ~500/mo
Daily download trend is not available in this view yet.
18530 days
1.1K90 days
6K1 year
Compare downloads with other packages →
Also on88 r2u14 autocran

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
0Releases
agricultureanova-analysiscorrelationexperexperimentalexperimental-design
License AGPL-3.0 · Last activity 2024-11-17

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/rameshram96/visvar on 2026-08-16.

Continuous integration (1)
GitHub Actions
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
20 external dependencies (excludes base and recommended)
Depends (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (1)
Author, Maintainer, Copyright holder
Contributors (2)
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2024-11-14
Total releases
1 / 2 yrs
License
AGPL (>= 3) OSI
Download size
464 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("visvaR")
Ramasamy, R., Arumugam, T., & Kulandaivadivel, M. (2024). visvaR: Shiny-Based Statistical Solutions for Agricultural Research (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.visvaR

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 visvaR version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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