R Observatory: Metrics for aridagri version 2.0.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

aridagri

2.0.4Package record

Comprehensive Statistical Tools for Agricultural Research

0packages depend

12.4Kdownloads / year

48.4%test coverage

13/13flavors OK

Overview

About

Maintained by Lalit Kumar RolaniyaCRAN page ↗GitHub ↗Issues ↗

A comprehensive suite of statistical and analytical tools for agricultural research. Includes complete analysis of variance (ANOVA) functions for all experimental designs: Completely Randomized Design (CRD), Randomized Block Design (RBD), Pooled RBD, Split Plot with all variations, Split-Split Plot, Strip Plot, Latin Square, Factorial, Augmented, and Alpha Lattice, with proper error terms and comprehensive Standard Error (SE) and Critical Difference (CD) calculations. Features multiple post-hoc tests: Least Significant Difference (LSD), Duncan Multiple Range Test (DMRT), Tukey Honestly Significant Difference (HSD), Student-Newman-Keuls (SNK), Scheffe, Bonferroni, and Dunnett, along with assumption checking and publication-ready output. Advanced methods include stability analysis using Eberhart-Russell regression, Additive Main Effects and Multiplicative Interaction (AMMI), Finlay-Wilkinson regression, Shukla stability variance, Wricke ecovalence, Coefficient of Variation (CV), and Cultivar Superiority Index as described in Eberhart and Russell (1966) doi:10.2135/cropsci1966.0011183X000600010011x. Thermal indices include Growing Degree Days (GDD), Heliothermal Units (HTU), Photothermal Units (PTU), and Heat Use Efficiency (HUE). Crop growth analysis covers Crop Growth Rate (CGR), Relative Growth Rate (RGR), Net Assimilation Rate (NAR), and Leaf Area Index (LAI). Also provides harvest index, yield gap analysis, economic efficiency indices (Benefit-Cost ratio), nutrient use efficiency calculations, correlation matrix, Principal Component Analysis (PCA), path analysis, and Structural Equation Modeling (SEM). Statistical methods follow Gomez and Gomez (1984, ISBN:0471870927) and Panse and Sukhatme (1985, ISBN:8170271169).

Changes in 2.0.4

Bug fixes

anova_spd() split-plot ANOVA: the main-plot error term (Error a) and the sub-plot sum of squares are now extracted from the ANOVA table by term name rather than by fixed row position. Because R orders main-effect terms ahead of interaction terms, the previous positional extraction swapped the sub-plot effect with Error(a), which produced incorrect main-plot and sub-plot F-tests and an incorrect Error(a) mean square, main-plot standard error, critical difference and CV(a). Sub-plot standard error, critical difference and CV(b), and the returned ANOVA table itself, were not affected.
anova_spd_ab_main(), anova_spd_c_main_ab_sub(), anova_spd_ab_cd() and anova_sspd() now test each effect against its correct error term. Previously these functions reported the raw combined ANOVA, in which the main-plot (and, for the split-split design, sub-plot) factors were tested against the residual rather than against the properly pooled main-plot / sub-plot error. The returned anova_table now gives the correct F-values and p-values for every stratum, and the objects carry the corresponding error mean squares, degrees of freedom and CVs. Verified against independent aov() Error()-strata models.

Show all changes in 2.0.4Hide the rest of the changes in 2.0.4

anova_spd_pooled() and anova_sspd_pooled() (combined analysis over environments) now test each source against the correct pooled error. Both functions previously reported a single-stratum anova() table in which every effect was tested against one residual, so the environment main effect and the main-plot (and, for the split-split design, sub-plot) factors were tested against the sub-sub-plot residual rather than against their own pooled errors. Treating environments as fixed and replications as random within environment, the environment effect is now tested against the environment/replication error (E:Rep), the main-plot factors against the pooled main-plot error, and the sub-plot and sub-sub-plot factors against their respective pooled errors. The returned anova_table gives the correct F- and p-values for every stratum, the objects now carry per-stratum coefficients of variation, and anova_sspd_pooled() now returns factor means for plotting. Verified against independent aov() Error()-strata models.
perform_posthoc() can now be called directly without pre-computing the error mean square and error degrees of freedom. When mse or df_error are not supplied they are derived from the fitted model. This fixes errors in the Bonferroni method and in the manual (no agricolae) fallbacks for LSD and Tukey.
Fixed Dunnett's test: the comparison is now built against the actual treatment factor supplied by the user instead of a hard-coded factor name, so it works correctly when multcomp is installed.
verbose = FALSE is now fully respected by anova_crd(), anova_rbd() and anova_latin(); these no longer print post-hoc and assumption-check output when silent operation is requested. Result objects are unchanged and still contain the full post-hoc and diagnostic components regardless of verbose.
arid_plot() now draws factor or treatment means for every ANOVA design (factorial, three-way factorial, Latin square, all split-plot and split-split-plot variants, strip-plot, alpha lattice and the pooled designs), not only CRD and RBD. Designs with several factors are shown as a multi-panel bar chart, one panel per factor, with standard-deviation whiskers where available. Objects that expose no factor-means table return quietly with an informative message instead of an error.
arid_plot() produces plots using base graphics for correlation objects (a heatmap of the correlation matrix) and stability objects (a bar chart of the integrated stability ranking); it previously returned without plotting.
export_results() now supports format = "csv" in addition to "xlsx" and raises a clear error for unsupported formats.

Other changes

Added grDevices, graphics, stats and utils to Imports.

From NEWS.md in the release

Install

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

install.packages("aridagri", 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("lalitrolaniya/aridagri")

Development version from lalitrolaniya/aridagri. 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-aridagri

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-aridagri

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-aridagri

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: 1.6 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK12 OK2026-04-25
NOTE13 OK, 1 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.0.4

READMEYes · 685 wordsVignettesNoNEWSYes · 100% structured · mentions 2.0.4Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 35includes a package overview page
Examples that run: 94%29 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 94%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 3%

How these are measured

Downloads

12.4K

CRAN downloads in the past year

Rank #6,573 · ~34/day · ~1K/mo

Releases R versions

Daily download trend is not available in this view yet.

36430 days

1.3K90 days

12.4K1 year

Compare downloads with other packages →

Also on87 r2u21 autocran

How downloads are counted

Repository

lalitrolaniya/aridagri ↗Account: lalitrolaniya

7Stars

3Forks

0Open issues

0Open PRs

2Releases

35Commits

2Commit identities

agronomyanovacrancrop-scienceexperimental-designfield-experimentsgenotype-environment-interactionmulti-environment-trials

License file reads as GPL-3.0 · 35 commits · Last activity 2026-07-11 · +16.7% stars, 30d

Responsiveness

not measured

Stars over time

2026-02-26 · 12026-10-20 · 7

How these are measured

PracticesBeta

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

Checks run against github.com/lalitrolaniya/aridagri on 2026-10-25.

Reproducibility and dev environment (1)

Dockerfile

Research and citation (1)

CITATION.cff

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

15 external dependencies (excludes base and recommended)

Installing aridagri adds no packages beyond those that come with R.

Depends (1)

R >= 4.0.0

Imports (4)

grDevicesgraphicsstatsutils

LinkingTo (0)

none

Suggests (15)

ggplot2 dplyr tidyr emmeans multcomp corrplot factoextra FactoMineR lavaan semPlot agricolae car writexl rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (4)

Lalit Kumar Rolaniya

Author, Maintainer since 2.0.3 (2026)

Raja Ram Choudhary

Author

Ram Lal Jat

Author

Monika Punia

Author

Releases (2)

Pick two releases to compare their code metrics.

2.0.4Latest
record
2026-07-10 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
2.0.3
record
2026-02-24
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-02-24
Total releases: 2 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.0.0
Download size: 81 KB

Appears in task views

Agricultural Science

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("aridagri")

Format

Rolaniya, L. K., Choudhary, R. R., Jat, R. L., & Punia, M. (2026). aridagri: Comprehensive Statistical Tools for Agricultural Research (Version 2.0.4) [Computer software]. https://doi.org/10.32614/CRAN.package.aridagri

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

The repository also keeps a CITATION.cff.

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 aridagri version 2.0.4 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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