{ "_id": "6a104ff3acfb0bcc41ca0fd0", "Type": "Package", "Package": "ImportanceIndice", "Title": "Analyzing Data Through of Percentage of Importance Indice and\nIts Derivations", "Version": "0.0.2", "Authors@R": "c(person(given = \"Germano Leao Demolin\",\nfamily = \"Leite\",\nrole = \"aut\",\nemail = \"germano.demolin@gmail.com\",\ncomment = c(ORCID = \"0000-0002-2928-3193\")),\nperson(given = \"Alcinei Mistico\",\nfamily = \"Azevedo\",\nrole = c(\"aut\", \"cre\"),\nemail = \"alcineimistico@hotmail.com\",\ncomment = c(ORCID = \"0000-0001-5196-0851\")))", "Description": "The Percentage of Importance Indice (Percentage_I.I.)\nbases in magnitudes, frequencies, and distributions of\noccurrence of an event (DEMOLIN-LEITE, 2021)\n.\nThis index can detect the key loss sources (L.S) and solution\nsources (S.S.), classifying them according to their importance\nin terms of loss or income gain, on the productive system. The\nPercentage_I.I. = [(ks1 x c1 x ds1)/SUM (ks1 x c1 x ds1) + (ks2\nx c2 x ds2) + (ksn x cn x dsn)] x 100. key source (ks) is\nobtained using simple regression analysis and magnitude\n(abundance). Constancy (c) is SUM of occurrence of L.S. or S.S.\non the samples (absence = 0 or presence = 1), and distribution\nsource (ds) is obtained using chi-square test. This index has\nderivations: i.e., i) Loss estimates and solutions\neffectiveness and ii) Attention and non-attention levels\n(DEMOLIN-LEITE,2024) .", "License": "GPL-3", "Encoding": "UTF-8", "Language": "en-US", "LazyData": "false", "RoxygenNote": "7.2.0", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-10 05:48:37 UTC", "User": "root" }, "Author": "Germano Leao Demolin Leite [aut]\n(), Alcinei Mistico\nAzevedo [aut, cre] ()", "Maintainer": "Alcinei Mistico Azevedo ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2022-09-13 17:40:05 UTC", "RemoteUrl": "https://github.com/cran/ImportanceIndice", "RemoteRef": "HEAD", "RemoteSha": "ee8dde78d1b9b7f82ce16f5b0996e12bb6856e9f", "MD5sum": "15fc079cee1237a1e69b90dd3a627f62", "_user": "cran", "_type": "src", "_file": "ImportanceIndice_0.0.2.tar.gz", "_fileid": "43ae9e92b6b24fa7393090ca5d72a692017073b782d2929a8a22628c86331db5", "_filesize": 134456, "_sha256": 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"object": "DataSolutionSource", "file": "DataSolutionSource.txt.gz", "class": [ "data.frame" ], "fields": [ "SS1", "SS2", "SS3" ], "rows": 20, "table": true, "tojson": true } ], "_help": [ { "page": "DataLossSource", "title": "Loss sources data", "topics": [ "DataLossSource" ] }, { "page": "DataNumberSamples", "title": "Number samples data", "topics": [ "DataNumberSamples" ] }, { "page": "DataProduction", "title": "Production data", "topics": [ "DataProduction" ] }, { "page": "DataSolutionSource", "title": "Solution sources data", "topics": [ "DataSolutionSource" ] }, { "page": "Distribution_LossSource", "title": "Loss source distribution information", "topics": [ "Distribution_LossSource" ] }, { "page": "Distribution_SolutionSource", "title": "Solution source distribution information", "topics": [ "Distribution_SolutionSource" ] }, { "page": "EffectivenessOfSolution", "title": "Function to estimate the effectiveness of solution sources (S.S.) by loss source (Percentage_I.I. > 0.00) in 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