{"id":34700972,"url":"https://github.com/mncube/mxsrquick","last_synced_at":"2026-05-27T10:02:55.417Z","repository":{"id":151849319,"uuid":"416473777","full_name":"mncube/mxsrquick","owner":"mncube","description":"Streamline workflows for Bayesian mixing model and MixSIAR projects","archived":false,"fork":false,"pushed_at":"2021-10-28T16:59:29.000Z","size":13,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2023-10-20T21:52:00.379Z","etag":null,"topics":["bayesian","mixsiar","r","statistics"],"latest_commit_sha":null,"homepage":"","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mncube.png","metadata":{"files":{"readme":"README.Rmd","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2021-10-12T19:37:40.000Z","updated_at":"2023-10-20T21:52:00.676Z","dependencies_parsed_at":"2023-06-07T01:45:51.565Z","dependency_job_id":null,"html_url":"https://github.com/mncube/mxsrquick","commit_stats":null,"previous_names":[],"tags_count":0,"template":null,"template_full_name":null,"purl":"pkg:github/mncube/mxsrquick","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mncube%2Fmxsrquick","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mncube%2Fmxsrquick/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mncube%2Fmxsrquick/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mncube%2Fmxsrquick/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mncube","download_url":"https://codeload.github.com/mncube/mxsrquick/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mncube%2Fmxsrquick/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33560727,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-05-27T02:00:06.184Z","response_time":53,"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":["bayesian","mixsiar","r","statistics"],"created_at":"2025-12-24T22:51:56.602Z","updated_at":"2026-05-27T10:02:55.412Z","avatar_url":"https://github.com/mncube.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"---\noutput: github_document\n---\n\n\u003c!-- README.md is generated from README.Rmd. Please edit that file --\u003e\n\n```{r, include = FALSE}\nknitr::opts_chunk$set(\n  collapse = TRUE,\n  comment = \"#\u003e\",\n  fig.path = \"man/figures/README-\",\n  out.width = \"100%\"\n)\n```\n\n# mxsrquick\n\n\u003c!-- badges: start --\u003e\n\u003c!-- badges: end --\u003e\n\nThe goal of mxsrquick is to is to make MixSIAR project run quicker\n\n## Installation\n\nYou can install the development version of stepurr from [GitHub](https://github.com/) with:\n```{r}\n# install.packages(\"devtools\")\n# devtools::install_github(\"mncube/mxsrquick\")\n```\n\n## Example\n\nThis is a basic example which shows you how to solve a common problem:\n\n```{r example}\nlibrary(mxsrquick)\n\n#Create a dataframe which mimics isospace source data\niso_data \u003c- data.frame(iso_a = c(2.2, 4.4, 3.3, 5.1, 3.4),\n                       iso_b = c(1.6, 3.9, 5.2, 4.2, 3.7),\n                       prot = c(\"bug\", \"bug\", \"bug\", \"plant\", \"plant\"))\n\n#Create an isospace plot using source groups' means and standard deviations\n#Use tdf1 and tdf2 to correct for trophic discrimination factors\nsource_biplot(data = iso_data, group = prot, \n              var1 = iso_a, var2 = iso_b, \n              tdf1 = c(2, 1), tdf2 = c(1, 1),\n              x_lab = \"A\", y_lab = \"B\")\n```\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmncube%2Fmxsrquick","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmncube%2Fmxsrquick","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmncube%2Fmxsrquick/lists"}