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visvaR

1.0.0Package record

Shiny-Based Statistical Solutions for Agricultural Research

0packages depend
5.7Kdownloads / year
34.1%test coverage
13/13flavors OK

Overview

About

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.

Changes in 1.0.0
  • Initial CRAN submission.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.4 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.0
READMEYes · 139 wordsVignettesNoNEWSYes · 67% structured · mentions 1.0.0Citation fileNoWebsiteYes · pkgdown
Help pages
6
Examples that run
100%5 run in a plain check (5 of them under a condition)
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
100%
Help pages citing references
83%

Downloads

5.7K
CRAN downloads in the past year
Rank #12,522 · ~16/day · ~474/mo
Daily download trend is not available in this view yet.
32130 days
88890 days
5.7K1 year
Compare downloads with other packages →
Also on63 r2u6 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
agricultureanova-analysiscorrelationexperexperimentalexperimental-design
License file reads as AGPL-3.0 · Last activity 2024-11-17
Responsiveness
not measured
PracticesBeta

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

Checks run against github.com/rameshram96/visvar 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 (3)
pkgdown

GitHub Pages site last deployed 2024-11-17 · The repository has a site deploy workflow

pkgdown site last built 2024-11-17

CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
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 visvaR adds 93 packages (48 with compiled code, 89 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 1.0.0 (2024), Copyright holder
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.0Latest
    2024-11-14 · current release
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-11-14
Total releases
1 / 2 yrs
License
AGPL (>= 3) OSI
Download size
464 KB

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 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 visvaR version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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