{ "_id": "6ab6340299f7aa8c6aa2c3f2", "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. 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