{"id":32204085,"url":"https://github.com/zsteinmetz/envalysis","last_synced_at":"2025-10-22T04:50:58.249Z","repository":{"id":32591784,"uuid":"36175149","full_name":"zsteinmetz/envalysis","owner":"zsteinmetz","description":"Miscellaneous Functions for Environmental Analyses","archived":false,"fork":false,"pushed_at":"2024-10-17T08:42:30.000Z","size":7371,"stargazers_count":8,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-15T03:21:49.704Z","etag":null,"topics":["analytics","chemistry","ecotoxicology","environment","soil"],"latest_commit_sha":null,"homepage":"http://zsteinmetz.de/envalysis/","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/zsteinmetz.png","metadata":{"files":{"readme":"README.md","changelog":"NEWS.md","contributing":null,"funding":".github/FUNDING.yml","license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null},"funding":{"github":["zsteinmetz"]}},"created_at":"2015-05-24T14:07:42.000Z","updated_at":"2024-10-17T08:39:48.000Z","dependencies_parsed_at":"2024-04-02T11:58:52.232Z","dependency_job_id":"b65a4e8c-0ae1-4121-9d38-c3c5e2608c86","html_url":"https://github.com/zsteinmetz/envalysis","commit_stats":{"total_commits":260,"total_committers":4,"mean_commits":65.0,"dds":0.5346153846153846,"last_synced_commit":"e2e79a0462859a05503182db0640dbfb638969d0"},"previous_names":[],"tags_count":12,"template":false,"template_full_name":null,"purl":"pkg:github/zsteinmetz/envalysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zsteinmetz%2Fenvalysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zsteinmetz%2Fenvalysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zsteinmetz%2Fenvalysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zsteinmetz%2Fenvalysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/zsteinmetz","download_url":"https://codeload.github.com/zsteinmetz/envalysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zsteinmetz%2Fenvalysis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279353258,"owners_count":26154074,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-17T02:00:07.504Z","response_time":56,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["analytics","chemistry","ecotoxicology","environment","soil"],"created_at":"2025-10-22T04:50:57.670Z","updated_at":"2025-10-22T04:50:58.197Z","avatar_url":"https://github.com/zsteinmetz.png","language":"R","funding_links":["https://github.com/sponsors/zsteinmetz"],"categories":["Natural Resources"],"sub_categories":["Soil and Land"],"readme":"# envalysis\n\nMiscellaneous Functions for Environmental Analyses\n\n\u003c!-- badges: start --\u003e\n[![CRAN version](https://www.r-pkg.org/badges/version/envalysis)](https://CRAN.R-project.org/package=envalysis) \n[![Project Status](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)\n[![R-CMD-check](https://github.com/zsteinmetz/envalysis/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/zsteinmetz/envalysis/actions/workflows/R-CMD-check.yaml)\n[![Codecov test coverage](https://codecov.io/gh/zsteinmetz/envalysis/branch/main/graph/badge.svg)](https://app.codecov.io/gh/zsteinmetz/envalysis?branch=main)\n[![License](https://img.shields.io/badge/license-GPL--3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)\n[![Downloads](https://cranlogs.r-pkg.org/badges/grand-total/envalysis)](https://CRAN.R-project.org/package=envalysis)\n[![DOI](https://img.shields.io/badge/shortDOI-10/ft9p-blue.svg)](https://doi.org/10.5281/ZENODO.1240304)\n\u003c!-- badges: end --\u003e\n\n**envalysis** is an R package containing miscellaneous functions for data\nanalysis in environmental chemistry and ecotoxicology. Provides, for example,\n`calibration()` to calculate calibration curves and corresponding limits of\ndetection (LODs) and limits of quantification (LOQs) according to German DIN\n32645 (2008). `texture()` makes it easy to estimate soil particle size\ndistributions from hydrometer measurements (ASTM D422-63, 2007). Some functions\nof the package require **ggplot2** or **drc**.\n\n## Functions\n\nThe following functions are available:\n\n### Data manipulation and analysis\n\n* Calculating limits of detection `lod()` and limits of quantification `loq()`\n  as part of the `'calibration'` class to produce linear calibration curves\n  in accordance with German DIN 32645 (2008); see\n  [vignette](https://zsteinmetz.de/envalysis/articles/calibration.html) for\n  details\n* Calculating concentrations from calibration curves using `inv_predict()`\n* Finding optimum weights for weighted calibrations using `weight_select()`\n* Estimating matrix effects (signal suppression/enhancement) with\n  `matrix_effect()`\n* Determining particle size distributions and soil texture classes (DIN/USDA)\n  measured with a soil hydrometer in accordance with ASTM D422-63 (2007) using\n  `texture()`; see\n  [vignette](https://zsteinmetz.de/envalysis/articles/texture.html) for details\n* Confidence intervals `CI()`, standard errors `se()`, and root mean square\n  errors `rmse()`\n* Various sorption isotherms `sorption()`\n\n### Data presentation\n\n* Categorize water drop penetration times according to Bisdom et al. (1993)\n  with `bisdom()`\n* Report significant figures, namely round means and errors to the least\n  significant digit, using `signifig()`\n* Clean, black-and-white ggplot2 theme for scientific publications\n  `theme_publish()`; a preview is available\n  [here](https://zsteinmetz.de/envalysis/articles/theme_publish.html)\n\n## Installation\n\n**envalysis** is available on CRAN and GitHub.\n\n### Install from CRAN (stable version)\n\nYou can install the released version of **envalysis** from\n[CRAN](https://cran.r-project.org/package=envalysis) with:\n\n```r\ninstall.packages(\"envalysis\")\n```\n\n### Install from GitHub (development version)\n\nTo install the development version of this package, paste the following code\ninto your R console (requires **devtools**):\n\n```r\nif(!require(devtools)) install.packages(\"devtools\")\ndevtools::install_github(\"zsteinmetz/envalysis\")\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzsteinmetz%2Fenvalysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzsteinmetz%2Fenvalysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzsteinmetz%2Fenvalysis/lists"}