R Observatory: Metrics for spreval version 1.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

spreval

1.1.0Package record

Evaluation of Sprinkler Irrigation Uniformity and Efficiency

0packages depend

2.1Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Garry GrabowCRAN page ↗GitHub ↗Website ↗Issues ↗

Processing and analysis of field collected or simulated sprinkler system catch data (depths) to characterize irrigation uniformity and efficiency using standard and other measures. Standard measures include the Christiansen coefficient of uniformity (CU) as found in Christiansen, J.E.(1942, ISBN:0138779295, "Irrigation by Sprinkling"); and distribution uniformity (DU), potential efficiency of the low quarter (PELQ), and application efficiency of the low quarter (AELQ) that are implementations of measures of the same notation in Keller, J. and Merriam, J.L. (1978) "Farm Irrigation System Evaluation: A Guide for Management" https://pdf.usaid.gov/pdf_docs/PNAAG745.pdf. spreval::DU.lh is similar to spreval::DU but is the distribution uniformity of the low half instead of low quarter as in DU. spreval::PELQT is a version of spreval::PELQ adapted for traveling systems instead of lateral move or solid-set sprinkler systems. The function spreval::eff is analogous to the method used to compute application efficiency for furrow irrigation presented in Walker, W. and Skogerboe, G.V. (1987,ISBN:0138779295, "Surface Irrigation: Theory and Practice"),that uses piecewise integration of infiltrated depth compared against soil-moisture deficit (SMD), when the argument "target" is set equal to SMD. The other functions contained in the package provide graphical representation of sprinkler system uniformity, and other standard univariate parametric and non-parametric statistical measures as applied to sprinkler system catch depths. A sample data set of field test data spreval::catchcan (catch depths) is provided and is used in examples and vignettes. Agricultural systems emphasized, but this package can be used for landscape irrigation evaluation, and a landscape (turf) vignette is included as an example application.

Install

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

install.packages("spreval", 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("glgrabow/spreval")

Development version from glgrabow/spreval. 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-spreval

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-spreval

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-spreval

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: 1.3 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.0

READMEYes · 415 wordsVignettesYes · 4 · dynamicNEWSYes · 100% structured · does not mention 1.1.0Citation fileNoWebsiteYes · pkgdown

Help pages: 17
Examples that run: 100%17 run in a plain check
Exported functions with examples: 100%
Documented parameters: not tracked
Return-value docs: not tracked
Help pages citing references: 47%

Vignettes (4)

How these are measured

Downloads

2.1K

CRAN downloads in the past year

Rank #21,989 · ~6/day · ~178/mo

Releases R versions

Daily download trend is not available in this view yet.

21830 days

60990 days

2.1K1 year

Compare downloads with other packages →

Also on66 r2u8 autocran

How downloads are counted

Repository

glgrabow/spreval ↗Account: glgrabow

0Stars

0Forks

0Open issues

0Open PRs

2Releases

312Commits

4Commit identities

312 commits · Last activity 2022-03-26

Responsiveness

How these are sampled

PRs merged (all time): 98%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 0

Releases over time

2022-03-23 · 22026-07-07 · 2

How these are measured

PracticesBeta

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

Checks run against github.com/glgrabow/spreval on 2026-10-21.

Continuous integration (1)

GitHub Actions

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2022-03-26 · The repository has a site deploy workflow

pkgdown site last built 2022-03-26

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing spreval adds 5 packages (4 with compiled code, 5.0 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppEigen 1.7 MB, interp 1.1 MB.

Depends (1)

R >= 3.5.0

Imports (2)

timeDate interp

LinkingTo (0)

none

Suggests (4)

fields knitr rmarkdown plotrix

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)

Garry Grabow

Releases (2)

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
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
1.1.0Latest
record
2022-03-23 · current release · diff ↗
1.0.0
record
2021-07-06
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-07-06
Total releases: 2 / 5 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 0.8 KB / 1 file
Download size: 674 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("spreval")

Format

Grabow, G. (2022). spreval: Evaluation of Sprinkler Irrigation Uniformity and Efficiency (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.spreval

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 spreval version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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