{ "_id": "6a1f28b4b401979e73423815", "Package": "egor", "Type": "Package", "Title": "Import and Analyse Ego-Centered Network Data", "Version": "1.25.10", "Date": "2025-10-27", "Language": "en-US", "Authors@R": "c(\nperson(\"Till\", \"Krenz\", email = \"egor@tillt.net\",\nrole = c(\"aut\", \"cre\")),\nperson(\"Pavel N.\", \"Krivitsky\", email=\"pavel@statnet.org\",\nrole=c(\"aut\")),\nperson(\"Raffaele\", \"Vacca\", email = \"r.vacca@ufl.edu\",\nrole = c(\"aut\")),\nperson(given = \"Michal\",\nfamily = \"Bojanowski\",\nrole = \"aut\",\nemail = \"michal2992@gmail.com\",\ncomment = c(ORCID = \"0000-0001-7503-852X\")),\nperson(\"Markus\", \"Gamper\", email = \"m.gamper@uni-koeln.de\",\nrole = c(\"ctb\")),\nperson(\"Andreas\", \"Herz\", email = \"herzand@uni-hildesheim.de\",\nrole = c(\"aut\")),\nperson(\"Christopher\", \"McCarty\", email = \"ufchris@ufl.edu\",\nrole = c(\"ctb\")))", "Description": "Tools for importing, analyzing and visualizing\nego-centered network data. Supports several data formats,\nincluding the export formats of 'EgoNet', 'EgoWeb 2.0' and\n'openeddi'. An interactive (shiny) app for the intuitive\nvisualization of ego-centered networks is provided. Also\nincluded are procedures for creating and visualizing Clustered\nGraphs (Lerner 2008 ).", "URL": "https://github.com/tilltnet/egor, https://egor.tillt.net/", "BugReports": "https://github.com/tilltnet/egor/issues", "License": "AGPL-3", "VignetteBuilder": "knitr", "RoxygenNote": "7.3.3", "Roxygen": "list(markdown = TRUE)", "LazyData": "true", "Encoding": "UTF-8", "Config/pak/sysreqs": "libglpk-dev make libicu-dev libxml2-dev", "Repository": "https://tilltnet.r-universe.dev", "Date/Publication": "2026-03-16 23:19:54 UTC", "RemoteUrl": "https://github.com/tilltnet/egor", "RemoteRef": "HEAD", "RemoteSha": "687ea063867c99691762f3c744ce565f8637df23", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-16 05:16:07 UTC", "User": "root" }, "Author": "Till Krenz [aut, cre],\nPavel N. Krivitsky [aut],\nRaffaele Vacca [aut],\nMichal Bojanowski [aut] (ORCID:\n),\nMarkus Gamper [ctb],\nAndreas Herz [aut],\nChristopher McCarty [ctb]", "Maintainer": "Till Krenz ", "MD5sum": "958961b9248c439c5904bf7afeb96b11", "_user": "tilltnet", "_type": "src", "_file": "egor_1.25.10.tar.gz", "_fileid": "833d4f45f579e13bf1eac86474bb6369affdadc610be750abfdf6edd5b854463", "_filesize": 4068260, "_sha256": "833d4f45f579e13bf1eac86474bb6369affdadc610be750abfdf6edd5b854463", "_created": "2026-05-16T05:16:07.000Z", "_published": "2026-06-02T19:02:12.170Z", "_distro": "noble", "_jobs": [ { "job": 79149572029, "time": 220, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7030749796" }, { "job": 79149572270, "time": 210, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7030748819" }, { "job": 79149572053, "time": 199, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7030745085" }, { "job": 79149571971, "time": 176, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7030743094" }, { "job": 79149570822, "time": 228, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7030725874" }, { "job": 79149571176, "time": 124, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7367182061" }, { "job": 79149571902, "time": 164, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7030743874" }, { "job": 79149571839, "time": 188, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7030746390" }, { "job": 79149571780, "time": 161, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7030743603" } ], "_buildurl": "https://github.com/r-universe/tilltnet/actions/runs/25953574360", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/tilltnet/egor", "_commit": { "id": "687ea063867c99691762f3c744ce565f8637df23", "author": "tilltnet ", "committer": "tilltnet ", "message": "fix `as_igraph()` and `as_network()` return name list where names are egoIDs; closes #103\n", "time": 1773703194 }, "_maintainer": { "name": "Till Krenz", "email": "egor@tillt.net" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "dplyr", "role": "Depends" }, { "package": "tibble", "role": "Depends" }, { "package": "tidygraph", "role": "Imports" }, { "package": "tidyselect", "role": "Imports" }, { "package": "srvyr", "role": "Imports" }, { "package": "tidyr", "role": "Imports" }, { "package": "methods", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "purrr", "role": "Imports" }, { "package": "rlang", "role": "Imports" }, { "package": "pillar", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "testthat", "version": ">= 2.1.0", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "survey", "role": "Suggests" }, { "package": "shiny", "role": "Suggests" }, { "package": "igraph", "role": "Suggests" }, { "package": "network", "role": "Suggests" }, { "package": "haven", "role": "Suggests" } ], "_owner": "tilltnet", "_selfowned": true, "_usedby": 2, "_updates": [ { "week": "2025-41", "n": 3 }, { "week": "2025-42", "n": 1 }, { "week": "2025-43", "n": 8 }, { "week": "2025-44", "n": 6 }, { "week": "2026-12", "n": 2 } ], "_tags": [], "_topics": [ "ego-centered", "egonet", "egor", "network-analysis", "sna" ], "_stars": 27, "_contributors": [ { "user": "tilltnet", "count": 499, "uuid": 8319636 }, { "user": "krivit", "count": 159, "uuid": 15682462 }, { "user": "mbojan", "count": 19, "uuid": 636574 }, { "user": "joylosee", "count": 7, "uuid": 78813050 }, { "user": "raffaelevacca", "count": 5, "uuid": 6641423 }, { "user": "mattwigway", "count": 2, "uuid": 566958 }, { "user": "romainfrancois", "count": 1, "uuid": 2625526 } ], "_userbio": { "uuid": 8319636, "type": "user", "name": "Till Krenz" }, "_downloads": { "count": 1060, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/egor" }, "_devurl": "https://github.com/tilltnet/egor", "_pkgdown": "https://egor.tillt.net/", "_searchresults": 100, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/egor.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/tilltnet/egor", "_realowner": "tilltnet", "_cranurl": true, "_releases": [ { "version": "0.18.06-02", "date": "2018-07-02" }, { "version": "0.18.08-02", "date": "2018-08-20" }, { "version": "0.19.1", "date": "2019-02-01" }, { "version": "0.19.10", "date": "2019-10-08" }, { "version": "0.20.01", "date": "2020-01-27" }, { "version": "0.20.03", "date": "2020-03-03" }, { "version": "0.20.06", "date": "2020-06-12" }, { "version": "0.21.01", "date": "2021-01-16" }, { "version": "0.21.02", "date": "2021-02-12" }, { "version": "1.21.6", "date": "2021-06-11" }, { "version": "1.21.7", "date": "2021-07-01" }, { "version": "1.21.10", "date": "2021-10-07" }, { "version": "1.22.1", "date": "2022-01-14" }, { "version": "1.22.5", "date": "2022-05-14" }, { "version": "1.22.12", "date": "2022-12-20" }, { "version": "1.23.3", "date": "2023-03-16" }, { "version": "1.24.2", "date": "2024-02-02" }, { "version": "1.25.10", "date": "2025-10-31" } ], "_exports": [ "aaties_by_ego", "activate", "alter_design", "alter_design<-", "alters_by_ego", "alts_diversity_count", "alts_diversity_entropy", "append_cols", "append_rows", "as_aaties_df", "as_aaties_survey", "as_alters_df", "as_alters_survey", "as_egos_df", "as_egos_survey", "as_igraph", "as_nested_egor", "as_network", "as.egor", "clustered_graphs", "comp_ei", "comp_ply", "composition", "count_dyads", "create_edge_names_wide", "din_page_dist", "dyad.poss", "dyads_possible_between_groups", "ego_constraint", "ego_density", "ego_design", "ego_design<-", "egor", "egor_options", "egor_vis_app", "EI", "has_ego_design", "layout_egogram", "make_egor", "onefile_to_egor", "plot_ego_graphs", "plot_egograms", "plot_egor", "read_egonet", "read_egoweb", "read_openeddi", "rowlist", "sanitize.wide.edges", "strip_ego_design", "threefiles_to_egor", "trim_aaties", "trim_alters", "twofiles_to_egor", "vis_clustered_graphs" ], "_datasets": [ { "name": "aaties32", "title": "32 sets of randomly created alter-alter ties belonging to ego-centered networks", "object": "aaties32", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ ".EGOID", ".SRCID", ".TGTID", "weight" ], "rows": 1056, "table": true, "tojson": true }, { "name": "allbus_2010_simulated", "title": "Simulated Allbus 2010 Data", "object": "allbus_2010_simulated", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19", "V20", "V21", "V22", "V23", "V24", "V25", "V26", "V27", "V28", "V29", "V30", "V31", "V32", "V33", "V34", "V35", "V36", "V37", "V38", "V39", "V40", "V41", "V42", "V43", "V44", "V45", "V46", "V47", "V48", "V49", "V50", "V51", "V52", "V53", "V54", "V55", "V56", "V57", "V58", "V59", "V60", "V61", "V62", "V63", "V64", "V65", "V66", "V67", "V68", "V69", "V70", "V71", "V72", "V73", "V74", "V75", "V76", "V77", "V78", "V79", "V80", "V81", "V82", "V83", "V84", "V85", "V86", "V87", "V88", "V89", "V90", "V91", "V92", "V93", "V94", "V95", "V96", "V97", "V98", "V99", "V100", "V101", "V102", "V103", "V104", "V105", "V106", "V107", "V108", "V109", "V110", "V111", "V112", "V113", "V114", "V115", "V116", "V117", "V118", "V119", "V120", "V121", "V122", "V123", "V124", "V125", "V126", "V127", "V128", "V129", "V130", "V131", "V132", "V133", "V134", "V135", "V136", "V137", "V138", "V139", "V140", "V141", "V142", "V143", "V144", "V145", "V146", "V147", "V148", "V149", "V150", "V151", "V152", "V153", "V154", "V155", "V156", "V157", "V158", "V159", "V160", "V161", "V162", "V163", "V164", "V165", "V166", "V167", "V168", "V169", "V170", "V171", "V172", "V173", "V174", "V175", "V176", "V177", "V178", "V179", "V180", "V181", "V182", "V183", "V184", "V185", "V186", "V187", "V188", "V189", "V190", "V191", "V192", "V193", "V194", "V195", "V196", "V197", "V198", "V199", "V200", "V201", "V202", "V203", "V204", "V205", "V206", "V207", "V208", "V209", "V210", "V211", "V212", "V213", "V214", "V215", "V216", "V217", "V218", "V219", "V220", "V221", "V222", "V223", "V224", "V225", "V226", "V227", "V228", "V229", "V230", "V231", "V232", "V233", "V234", "V235", "V236", "V237", "V238", "V239", "V240", "V241", "V242", "V243", "V244", "V245", "V246", "V247", "V248", "V249", "V250", "V251", "V252", "V253", "V254", "V255", "V256", "V257", "V258", "V259", "V260", "V261", "V262", "V263", "V264", "V265", "V266", "V267", "V268", "V269", "V270", "V271", "V272", "V273", "V274", "V275", "V276", "V277", "V278", "V279", "V280", "V281", "V282", "V283", "V284", "V285", "V286", "V287", "V288", "V289", "V290", "V291", "V292", "V293", "V294", "V295", "V296", "V297", "V298", "V299", "V300", "V301", "V302", "V303", "V304", "V305", "V306", "V307", "V308", "V309", "V310", "V311", "V312", "V313", "V314", "V315", "V316", "V317", "V318", "V319", "V320", "V321", "V322", "V323", "V324", "V325", "V326", "V327", "V328", "V329", "V330", "V331", "V332", "V333", "V334", "V335", "V336", "V337", "V338", "V339", "V340", "V341", "V342", "V343", "V344", "V345", "V346", "V347", "V348", "V349", "V350", "V351", "V352", "V353", "V354", "V355", "V356", "V357", "V358", "V359", "V360", "V361", "V362", "V363", "V364", "V365", "V366", "V367", "V368", "V369", "V370", "V371", "V372", "V373", "V374", "V375", "V376", "V377", "V378", "V379", "V380", "V381", "V382", "V383", "V384", "V385", "V386", "V387", "V388", "V389", "V390", "V391", "V392", "V393", "V394", "V395", "V396", "V397", "V398", "V399", "V400", "V401", "V402", "V403", "V404", "V405", "V406", "V407", "V408", "V409", "V410", "V411", "V412", "V413", "V414", "V415", "V416", "V417", "V418", "V419", "V420", "V421", "V422", "V423", "V424", "V425", "V426", "V427", "V428", "V429", "V430", "V431", "V432", "V433", "V434", "V435", "V436", "V437", "V438", "V439", "V440", "V441", "V442", "V443", "V444", "V445", "V446", "V447", "V448", "V449", "V450", "V451", "V452", "V453", "V454", "V455", "V456", "V457", "V458", "V459", "V460", "V461", "V462", "V463", "V464", "V465", "V466", "V467", "V468", "V469", "V470", "V471", "V472", "V473", "V474", "V475", "V476", "V477", "V478", "V479", "V480", "V481", "V482", "V483", "V484", "V485", "V486", "V487", "V488", "V489", "V490", "V491", "V492", "V493", "V494", "V495", "V496", "V497", "V498", "V499", "V500", "V501", "V502", "V503", "V504", "V505", "V506", "V507", "V508", "V509", "V510", "V511", "V512", "V513", "V514", "V515", "V516", "V517", "V518", "V519", "V520", "V521", "V522", "V523", "V524", "V525", "V526", "V527", "V528", "V529", "V530", "V531", "V532", "V533", "V534", "V535", "V536", "V537", "V538", "V539", "V540", "V541", "V542", "V543", "V544", "V545", "V546", "V547", "V548", "V549", "V550", "V551", "V552", "V553", "V554", "V555", "V556", "V557", "V558", "V559", "V560", "V561", "V562", "V563", "V564", "V565", "V566", "V567", "V568", "V569", "V570", "V571", "V572", "V573", "V574", "V575", "V576", "V577", "V578", "V579", "V580", "V581", "V582", "V583", "V584", "V585", "V586", "V587", "V588", "V589", "V590", "V591", "V592", "V593", "V594", "V595", "V596", "V597", "V598", "V599", "V600", "V601", "V602", "V603", "V604", "V605", "V606", "V607", "V608", "V609", "V610", "V611", "V612", "V613", "V614", "V615", "V616", "V617", "V618", "V619", "V620", "V621", "V622", "V623", "V624", "V625", "V626", "V627", "V628", "V629", "V630", "V631", "V632", "V633", "V634", "V635", "V636", "V637", "V638", "V639", "V640", "V641", "V642", "V643", "V644", "V645", "V646", "V647", "V648", "V649", "V650", "V651", "V652", "V653", "V654", "V655", "V656", "V657", "V658", "V659", "V660", "V661", "V662", "V663", "V664", "V665", "V666", "V667", "V668", "V669", "V670", "V671", "V672", "V673", "V674", "V675", "V676", "V677", "V678", "V679", "V680", "V681", "V682", "V683", "V684", "V685", "V686", "V687", "V688", "V689", "V690", "V691", "V692", "V693", "V694", "V695", "V696", "V697", "V698", "V699", "V700", "V701", "V702", "V703", "V704", "V705", "V706", "V707", "V708", "V709", "V710", "V711", "V712", "V713", "V714", "V715", "V716", "V717", "V718", "V719", "V720", "V721", "V722", "V723", "V724", "V725", "V726", "V727", "V728", "V729", "V730", "V731", "V732", "V733", "V734", "V735", "V736", "V737", "V738", "V739", "V740", "V741", "V742", "V743", "V744", "V745", "V746", "V747", "V748", "V749", "V750", "V751", "V752", "V753", "V754", "V755", "V756", "V757", "V758", "V759", "V760", "V761", "V762", "V763", "V764", "V765", "V766", "V767", "V768", "V769", "V770", "V771", "V772", "V773", "V774", "V775", "V776", "V777", "V778", "V779", "V780", "V781", "V782", "V783", "V784", "V785", "V786", "V787", "V788", "V789", "V790", "V791", "V792", "V793", "V794", "V795", "V796", "V797", "V798", "V799", "V800", "V801", "V802", "V803", "V804", "V805", "V806", "V807", "V808", "V809", "V810", "V811", "V812", "V813", "V814", "V815", "V816", "V817", "V818", "V819", "V820", "V821", "V822", "V823", "V824", "V825", "V826", "V827", "V828", "V829", "V830", "V831", "V832", "V833", "V834", "V835", "V836", "V837", "V838", "V839", "V840", "V841", "V842", "V843", "V844", "V845", "V846", "V847", "V848", "V849", "V850", "V851", "V852", "V853", "V854", "V855", "V856", "V857", "V858", "V859", "V860", "V861", "V862", "V863", "V864", "V865", "V866", "V867", "V868", "V869", "V870", "V871", "V872", "V873", "V874", "V875", "V876", "V877", "V878", "V879", "V880", "V881", "V882", "V883", "V884", "V885", "V886", "V887", "V888", "V889", "V890", "V891", "V892", "V893", "V894", "V895", "V896", "V897", "V898", "V899", "V900", "V901", "V902", "V903", "V904", "V905", "V906", "V907", "V908", "V909", "V910", "V911", "V912", "V913", "V914", "V915", "V916", "V917", "V918", "V919", "V920", "V921", "V922", "V923", "V924", "V925", "V926", "V927", "V928", "V929", "V930", "V931", "V932", "V933", "V934", "V935", "V936", "V937", "V938", "V939", "V940", "V941", "V942", "V943", "V944", "V945", "V946", "V947", "V948", "V949", "V950", "V951", "V952", "V953", "V954", "V955", "V956", "V957", "V958", "V959", "V960", "V961", "V962", "V963", "V964", "V965", "V966", "V967", "V968", "V969", "V970", "V971", "V972", "V973", "V974", "V975", "V976", "V977", "V978", "V979", "V980", "V981" ], "rows": 100, "table": true, "tojson": false }, { "name": "alter_df", "title": "Transnational personal communities of social support of German migrants in Great Britain", "object": "alter_df", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "egoID", "alterID", "selected", "advice", "help", "talk", "money", "hobby", "conflict", "rely", "livinguk", "sex", "age", "cont_partner", "cont_parent", "cont_child", "cont_sibling", "cont_kin", "cont_colleague", "cont_friend", "cont_neighbour", "citizenship", "distance", "duration", "intensity" ], "rows": 385, "table": true, "tojson": true }, { "name": "alters32", "title": "32 sets of randomly created alters belonging to ego-centered networks", "object": "alters32", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ ".ALTID", ".EGOID", "sex", "age", "age.years", "country", "income" ], "rows": 384, "table": true, "tojson": true }, { "name": "ego_df", "title": "Transnational personal communities of social support of German migrants in Great Britain", "object": "ego_df", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "egoID", "duration", "inhabitants", "birthyear", "sex", "maritalstatus", "children", "nochildren", "skills", "education", "workperweek", "b10_1_2", "b10_1_3", "b10_2_3", "b10_1_4", "b10_2_4", "b10_3_4", "b10_1_5", "b10_2_5", "b10_3_5", "b10_4_5", "b10_1_6", "b10_2_6", "b10_3_6", "b10_4_6", "b10_5_6", "b10_1_7", "b10_2_7", "b10_3_7", "b10_4_7", "b10_5_7", "b10_6_7", "b10_1_8", "b10_2_8", "b10_3_8", "b10_4_8", "b10_5_8", "b10_6_8", "b10_7_8" ], "rows": 50, "table": true, "tojson": true }, { "name": "egor32", "title": "32 randomly created ego-centered networks stored as an egor object", "object": "egor32", "class": [ "egor", "list" ], "fields": [], "table": false, "tojson": false }, { "name": "egos32", "title": "32 randomly created egos belonging to ego-centered networks", "object": "egos32", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ ".EGOID", "sex", "age", "age.years", "country", "income" ], "rows": 32, "table": true, "tojson": true }, { "name": "gss2004", "title": "A selective subset of GSS 2004 data", "object": "gss2004", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "id", "vpsu", "vstrat", "wtssall", "age", "race", "sex", "marital", "numgiven", "age1", "age2", "age3", "age4", "age5", "intrace1", "race1", "race2", "race3", "race4", "race5", "intrace2", "intrace3", "sexsex5", "sex1", "sex2", "sex3", "sex4", "sex5", "spouse1", "spouse2", "spouse3", "spouse4", "spouse5", "close12", "close23", "close13", "close14", "close24", "close34", "close15", "close35", "close45", "close25" ], "rows": 594, "table": true, "tojson": true }, { "name": "transnat", "title": "Transnational personal communities of social support of German migrants in Great Britain", "object": "transnat", "class": [ "egor", "list" ], "fields": [], "table": false, "tojson": true } ], "_help": [ { "page": "aaties32", "title": "32 sets of randomly created alter-alter ties belonging to ego-centered networks", "topics": [ "aaties32" ] }, { "page": "activate.egor", "title": "Activate ego, alter or alter-alter tie data level of an egor dataset", "topics": [ "activate.egor" ] }, { "page": "allbus_2010_simulated", "title": "Simulated Allbus 2010 Data", "topics": [ "allbus_2010_simulated" ] }, { "page": "alter_design", "title": "Set and query the alter nomination design", "topics": [ "alter_design", "alter_design.egor", "alter_design<-", "alter_design<-.egor" ] }, { "page": "alters32", "title": "32 sets of randomly created alters belonging to ego-centered networks", "topics": [ "alters32" ] }, { "page": "alts_diversity_count", "title": "Calculate diversity measures on an 'egor' object.", "topics": [ "alts_diversity_count", "alts_diversity_entropy" ] }, { "page": "append_egor", "title": "Append rows/columns to ego, alter or aatie data", "topics": [ "append_cols", "append_egor", "append_rows" ] }, { "page": "as_igraph", "title": "Convert 'egor' object to 'network' or 'igraph' objects", "topics": [ "as.igraph.egor", "as.network.egor", "as_igraph", "as_network" ] }, { "page": "as_tibble.egor", "title": "Extract ego, alter, and alter-alter tables from an 'egor' object.", "topics": [ "as_aaties_df", "as_aaties_survey", "as_alters_df", "as_alters_survey", "as_egos_df", "as_egos_survey", "as_survey.egor", "as_tibble.egor" ] }, { "page": "egor", "title": "egor - a data class for ego-centered network data.", "topics": [ "as.egor", "as.egor.list", "as.egor.nested_egor", "egor" ] }, { "page": "clustered_graphs", "title": "Cluster ego-centered networks by a grouping factor", "topics": [ "clustered_graphs", "clustered_graphs.data.frame", "clustered_graphs.egor", "clustered_graphs.list" ] }, { "page": "comp_ei", "title": "Calculate the EI-Indices of an 'egor' object as a measurement of ego-alter homophily", "topics": [ "comp_ei" ] }, { "page": "comp_ply", "title": "Calculate custom compositional measures on an 'egor' object", "topics": [ "comp_ply" ] }, { "page": "composition", "title": "Calculate the composition of alter attributes in an 'egor' object", "topics": [ "composition" ] }, { "page": "count_dyads", "title": "Count attribute combinations of dyads in ego-centered networks", "topics": [ "count_dyads" ] }, { "page": "ego_constraint", "title": "Calculate Burt constraint for the egos of ego-centered networks", "topics": [ "ego_constraint" ] }, { "page": "ego_density", "title": "Calculate the relationship density in ego-centered networks", "topics": [ "ego_density", "ego_density.egor" ] }, { "page": "ego_design", "title": "Set and query the ego sampling design", "topics": [ "ego_design", "ego_design.egor", "ego_design.nested_egor", "ego_design<-", "ego_design<-.egor", "ego_design<-.nested_egor", "has_ego_design", "has_ego_design.egor", "has_ego_design.nested_egor", "strip_ego_design" ] }, { "page": "egor_options", "title": "Display names and values of global egor options.", "topics": [ "egor_options" ] }, { "page": "egor_vis_app", "title": "'egor' Network Visualization App", "topics": [ "egor_vis_app" ] }, { "page": "egor32", "title": "32 randomly created ego-centered networks stored as an egor object", "topics": [ "egor32" ] }, { "page": "egos32", "title": "32 randomly created egos belonging to ego-centered networks", "topics": [ "egos32" ] }, { "page": "EI", "title": "Calculate EI-Index of ego networks", "topics": [ "EI" ] }, { "page": "extract_egos_and_return", "title": "This extracts egos from igraph/network data if they are named in 'ego_name' and returns an egor object", "topics": [ "extract_egos_and_return" ] }, { "page": "gss2004", "title": "A selective subset of GSS 2004 data", "topics": [ "gss2004" ] }, { "page": "helper", "title": "General helper functions", "topics": [ "aaties_by_ego", "aaties_by_ego.egor", "aaties_by_ego.nested_egor", "alters_by_ego", "alters_by_ego.egor", "alters_by_ego.nested_egor", "as_nested_egor", "create_edge_names_wide", "din_page_dist", "dyad.poss", "dyads_possible_between_groups", "helper", "sanitize.wide.edges" ] }, { "page": "layout_egogram", "title": "Create layout for an egogram", "topics": [ "layout_egogram" ] }, { "page": "make_egor", "title": "Generate random ego-centered-network data.", "topics": [ "make_egor" ] }, { "page": "onefile_to_egor", "title": "Import ego-centered network data from 'one file format'", "topics": [ "onefile_to_egor" ] }, { "page": "plot_egor", "title": "Plotting _egor_ objects", "topics": [ "plot.egor", "plot_egograms", "plot_egor", "plot_ego_graphs" ] }, { "page": "read_egonet", "title": "Read ego-centered network data exported with EgoNet software as an 'egor' object", "topics": [ "read_egonet" ] }, { "page": "return_results", "title": "Returns results inheriting 'srvyr' design if the input egor object has a an 'ego_design' and global option \"egor.return.results.with.design\" is 'TRUE' or 'NULL'.", "topics": [ "return_results" ] }, { "page": "rowlist", "title": "Convert a table to a list of rows", "topics": [ "rowlist" ] }, { "page": "subset.egor", "title": "Filter and Subset Ego-centered Datasets", "topics": [ "subset.egor", "[.egor" ] }, { "page": "summary.egor", "title": "Methods to print and summarize 'egor' objects", "topics": [ "print.egor", "summary.egor" ] }, { "page": "threefiles_to_egor", "title": "Read/ import ego-centered network data from the three files format, EgoWeb2.0 or openeddi.", "topics": [ "read_egoweb", "read_openeddi", "threefiles_to_egor" ] }, { "page": "transnat", "title": "Transnational personal communities of social support of German migrants in Great Britain", "topics": [ "alter_df", "ego_df", "transnat" ] }, { "page": "trim_aaties", "title": "Trims alter-alter ties of alters that are missing/ deleted from alters data.", "topics": [ "trim_aaties" ] }, { "page": "trim_alters", "title": "Trims alters that are missing/ deleted from ego data.", "topics": [ "trim_alters" ] }, { "page": "twofiles_to_egor", "title": "Import ego-centered network data from two file format", "topics": [ "twofiles_to_egor" ] }, { "page": "vis_clustered_graphs", "title": "Visualize clustered graphs", "topics": [ "vis_clustered_graphs" ] }, { "page": "weights.egor", "title": "'weights.egor()' extracts the (relative) sampling weights of each ego in the dataset.", "topics": [ "weights.egor" ] } ], "_readme": "https://github.com/tilltnet/egor/raw/HEAD/README.md", "_rundeps": [ "cli", "cpp11", "DBI", "dplyr", "generics", "glue", "igraph", "lattice", "lifecycle", "magrittr", "Matrix", "minqa", "mitools", "numDeriv", "pillar", "pkgconfig", "purrr", "R6", "Rcpp", "RcppArmadillo", "rlang", "srvyr", "stringi", "stringr", "survey", "survival", "tibble", "tidygraph", "tidyr", "tidyselect", "utf8", "vctrs", "withr" ], "_vignettes": [ { "source": "qualtrics.Rmd", "filename": "qualtrics.html", "title": "Qualtrics & egor: Setting up and analysing an ego-centered network survey with Qualtrics and egor", "author": "Joy Losee, Till Krenz", "engine": "knitr::rmarkdown", "headings": [ "Structure of an ego-centered network survey", "Best practices", "Create an Ego-Centered Network Survey", "Fixed-Choice", "Free-Choice", "Downloading the data and importing it with egor" ], "created": "2021-02-11 20:03:14", "modified": "2022-01-13 20:03:39", "commits": 13 }, { "source": "using_egor.Rmd", "filename": "using_egor.html", "title": "Using egor to analyse ego-centered network data", "author": "Till Krenz", "engine": "knitr::rmarkdown", "headings": [ "The egor Package", "Import", "Manipulate", "Base R", "activate() and dplyr verbs", "Analyse", "Summary", "Density", "Composition", "Diversity", "Ego-Alter Homophily (EI-Index)", "EI-Index for Alter-Alter Ties", "Count attribute combinations in alter-alter ties/ dyads", "comp_ply()", "Visualize", "Clustered Graphs", "igraph & network plotting", "Shiny App for Visualization", "Conversions" ], "created": "2018-06-16 10:33:56", "modified": "2022-01-13 20:03:39", "commits": 14 }, { "source": "egor_allbus.Rmd", "filename": "egor_allbus.html", "title": "Working with Allbus 2010 ego-centered network data using egor", "author": "Till Krenz", "engine": "knitr::rmarkdown", "headings": [ "The Allbus 2010: ego-centered network data", "Load packages and data", "Convert the data to egor objects", "Visualize and analyze" ], "created": "2020-01-10 17:52:06", "modified": "2025-10-20 01:35:06", "commits": 6 } ], "_score": 8.888033393582745, "_indexed": true, "_nocasepkg": "egor", "_universes": [ "tilltnet" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.25.10", "date": "2026-05-16T05:18:36.000Z", "distro": "noble", "commit": "687ea063867c99691762f3c744ce565f8637df23", "fileid": "04207e7903659f67416fbb07feaba7bc947605d503af795868fc86bb7ffb4c60", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/tilltnet/actions/runs/25953574360" }, { "r": "4.6.0", "os": "linux", "version": "1.25.10", "date": "2026-05-16T05:18:33.000Z", "distro": "noble", "commit": "687ea063867c99691762f3c744ce565f8637df23", "fileid": "31da5fa629a66421ac87431598719500cecbd63073e37f879952abe85c3209a6", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/tilltnet/actions/runs/25953574360" }, { "r": "4.5.3", "os": "mac", "version": "1.25.10", "date": "2026-05-16T05:18:30.000Z", "commit": "687ea063867c99691762f3c744ce565f8637df23", "fileid": "3272c20471d60ce701219a4c7f204d10174a626b9749a6644f916022a71fa6c2", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/tilltnet/actions/runs/25953574360" }, { "r": "4.6.0", "os": "mac", "version": "1.25.10", "date": "2026-05-16T05:18:09.000Z", "commit": "687ea063867c99691762f3c744ce565f8637df23", "fileid": "d1c1c87055e172961fef79a4e2757600932fb404d9289cdfbe01b373637467a3", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/tilltnet/actions/runs/25953574360" }, { "r": "4.7.0", "os": "win", "version": "1.25.10", "date": "2026-05-16T05:17:29.000Z", "commit": "687ea063867c99691762f3c744ce565f8637df23", "fileid": "f5879d9f0dbbed99142999ab135e43b7f7958c14866811be304f8b7b5d110a38", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/tilltnet/actions/runs/25953574360" }, { "r": "4.5.3", "os": "win", "version": "1.25.10", "date": "2026-05-16T05:17:56.000Z", "commit": "687ea063867c99691762f3c744ce565f8637df23", "fileid": "ea7d076326349218c3b31d2bae4b2d275c7b6285d7c033fac9c3b512fd4249f4", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/tilltnet/actions/runs/25953574360" }, { "r": "4.6.0", "os": "win", "version": "1.25.10", "date": "2026-05-16T05:17:26.000Z", "commit": "687ea063867c99691762f3c744ce565f8637df23", "fileid": "7d438432f4150621840ce2a5ac94b59a29ebae77749e477ab4c102b1ed0c8608", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/tilltnet/actions/runs/25953574360" }, { "r": "4.6.0", "os": "wasm", "version": "1.25.10", "date": "2026-06-02T19:01:26.000Z", "commit": "687ea063867c99691762f3c744ce565f8637df23", "fileid": "3905601891ab8db9b0f63043ca2d3ffd18bb3f78771289f1a6a4981a11a748d2", "status": "success", "buildurl": "https://github.com/r-universe/tilltnet/actions/runs/25953574360" } ] }