{"id":2900,"date":"2023-07-20T04:47:53","date_gmt":"2023-07-20T04:47:53","guid":{"rendered":"https:\/\/statorials.org\/nl\/r-fout-in-lm-fitx-na-nan-inf-in-y\/"},"modified":"2023-07-20T04:47:53","modified_gmt":"2023-07-20T04:47:53","slug":"r-fout-in-lm-fitx-na-nan-inf-in-y","status":"publish","type":"post","link":"https:\/\/statorials.org\/nl\/r-fout-in-lm-fitx-na-nan-inf-in-y\/","title":{"rendered":"Hoe op te lossen: fout in lm.fit(x, y, offset = offset, \u2026): na\/nan\/inf in 'y'"},"content":{"rendered":"

<\/p>\n

\n

Een fout die u kunt tegenkomen bij het gebruik van R is:<\/span><\/p>\n

 Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...): \n  NA\/NaN\/Inf in 'y'\n<\/strong><\/span><\/pre>\n
 Deze fout treedt op wanneer u probeert de functie lm()<\/a> te gebruiken om een lineair regressiemodel in R te fitten, maar de voorspeller of responsvariabele NaN-<\/strong> of Inf-<\/strong> waarden bevat.<\/span><\/p>\n
 Het volgende voorbeeld laat zien hoe u deze fout in de praktijk kunt corrigeren.<\/span><\/p>\n
 Hoe de fout te reproduceren<\/strong><\/span><\/h3>\n
 Stel dat we het volgende dataframe in R hebben dat informatie bevat over gespeelde minuten en gescoorde punten door verschillende basketbalspelers:<\/span><\/p>\n
 #create data frame with some NA, NaN, Inf values\n<\/span>df <- data. frame<\/span> (minutes=c(4, NA, 28, 12, 30, 21, 14),\n                 dots=c(12, NaN, 30, Inf, 43, 25, 17))\n\n#view data frame\n<\/span>df\n\n  minutes points\n1 4 12\n2 NA NaN\n3 28 30\n4 12 Lower\n5 30 43\n6 21 25\n7 14 17\n<\/span><\/span><\/strong><\/pre>\n
 Merk op dat het dataframe NaN-<\/strong> en Inf-<\/strong> waarden bevat.<\/span><\/span><\/p>\n
 Stel nu dat we proberen een lineair regressiemodel in te passen met \u2018minuten\u2019 als voorspellende variabele en \u2018punten\u2019 als responsvariabele:<\/span><\/span><\/p>\n
 #attempt to fit regression model\n<\/span>lm(points ~ minutes, data=df)\n\nError in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...): \n  NA\/NaN\/Inf in 'y'\n<\/span><\/span><\/strong><\/pre>\n
 We ontvangen een foutmelding omdat er NaN-<\/strong> en Inf-<\/strong> waarden aanwezig zijn in het dataframe.<\/span><\/p>\n
 Hoe u de fout kunt oplossen<\/strong><\/span><\/h3>\n
 Opgemerkt moet worden dat NA-<\/strong> waarden in het dataframe geen probleem vormen. In feite negeert R eenvoudigweg NA-<\/strong> waarden bij het aanpassen van het lineaire regressiemodel.<\/span><\/p>\n
 Het echte probleem wordt veroorzaakt door de NaN-<\/strong> en Inf-<\/strong> waarden.<\/span><\/p>\n
 De eenvoudigste manier om dit op te lossen is door de NaN-<\/strong> en Inf-<\/strong> waarden te vervangen door NA-<\/strong> waarden:<\/span><\/p>\n
 #Replace NaN & Inf with NA\n<\/span>df[is. na<\/span> (df) | df==\" Inf<\/span> \"] = NA\n\n#view updated data frame\n<\/span>df\n\n  minutes points\n1 4 12\n2 NA NA\n3 28 30\n4 12 NA\n5 30 43\n6 21 25\n7 14 17<\/span><\/span><\/strong><\/pre>\n
 We kunnen het regressiemodel nu aanpassen:<\/span><\/span><\/p>\n
 #fit regression model<\/span>\nlm(points ~ minutes, data=df)\n\nCall:\nlm(formula = points ~ minutes, data = df)\n\nCoefficients:\n(Intercept) minutes  \n      5,062 1,048<\/span><\/span><\/strong><\/pre>\n
 Houd er rekening mee dat we geen fouten ontvangen sinds we de NaN-<\/strong> en Inf-<\/strong> waarden in het dataframe hebben vervangen.<\/span><\/p>\n
 Aanvullende bronnen<\/strong><\/span><\/h3>\n
 In de volgende tutorials wordt uitgelegd hoe u andere veelvoorkomende fouten in R kunt oplossen:<\/span><\/p>\n
 Hoe op te lossen in R: onverwachte tekenreeksconstante<\/a>
 Oplossing in R: ongeldige sjabloonformule in ExtractVars
 Hoe op te lossen in R: argument is noch numeriek noch logisch: return na<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Een fout die u kunt tegenkomen bij het gebruik van R is: Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, …): NA\/NaN\/Inf in ‚y‘ Deze fout treedt op wanneer u probeert de functie lm() te gebruiken om een lineair regressiemodel in R te fitten, maar de voorspeller of responsvariabele NaN- of Inf- waarden […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-2900","post","type-post","status-publish","format-standard","hentry","category-gids"],"yoast_head":"\nHoe op te lossen: fout in lm.fit(x, y, offset = offset, ...): na\/nan\/inf in 'y' - Statorials<\/title>\n<meta name=\"description\" content=\"In deze tutorial wordt uitgelegd hoe u de volgende fout in R kunt oplossen: fout in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...): na\/nan\/inf in 'y'.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/nl\/r-fout-in-lm-fitx-na-nan-inf-in-y\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Hoe op te lossen: fout in lm.fit(x, y, offset = offset, ...): na\/nan\/inf in 'y' - Statorials\" \/>\n<meta property=\"og:description\" content=\"In deze tutorial wordt uitgelegd hoe u de volgende fout in R kunt oplossen: fout in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...): na\/nan\/inf in 'y'.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/nl\/r-fout-in-lm-fitx-na-nan-inf-in-y\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-20T04:47:53+00:00\" \/>\n<meta name=\"author\" content=\"Dr.benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Verfasst von\" \/>\n\t<meta name=\"twitter:data1\" content=\"Dr.benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Gesch\u00e4tzte Lesezeit\" \/>\n\t<meta name=\"twitter:data2\" content=\"2\u00a0Minuten\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/nl\/r-fout-in-lm-fitx-na-nan-inf-in-y\/\",\"url\":\"https:\/\/statorials.org\/nl\/r-fout-in-lm-fitx-na-nan-inf-in-y\/\",\"name\":\"Hoe op te lossen: fout in lm.fit(x, y, offset = offset, ...): na\/nan\/inf in 'y' - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/nl\/#website\"},\"datePublished\":\"2023-07-20T04:47:53+00:00\",\"dateModified\":\"2023-07-20T04:47:53+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/nl\/#\/schema\/person\/d4b8842173cca1bb62cdec41860e4219\"},\"description\":\"In deze tutorial wordt uitgelegd hoe u de volgende fout in R kunt oplossen: fout in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...): na\/nan\/inf in 'y'.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/nl\/r-fout-in-lm-fitx-na-nan-inf-in-y\/#breadcrumb\"},\"inLanguage\":\"de\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/nl\/r-fout-in-lm-fitx-na-nan-inf-in-y\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/nl\/r-fout-in-lm-fitx-na-nan-inf-in-y\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Thuis\",\"item\":\"https:\/\/statorials.org\/nl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Hoe op te lossen: fout in lm.fit(x, y, offset = offset, \u2026): na\/nan\/inf in 'y'\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/nl\/#website\",\"url\":\"https:\/\/statorials.org\/nl\/\",\"name\":\"Statorials\",\"description\":\"Uw gids voor statistische competentie\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/nl\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"de\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/nl\/#\/schema\/person\/d4b8842173cca1bb62cdec41860e4219\",\"name\":\"Dr.benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"de\",\"@id\":\"https:\/\/statorials.org\/nl\/#\/schema\/person\/image\/\",\"url\":\"http:\/\/statorials.org\/nl\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"http:\/\/statorials.org\/nl\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Dr.benjamin anderson\"},\"description\":\"Ik ben Benjamin, een gepensioneerde hoogleraar statistiek die nu een toegewijde Statorials-lesgever is. 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 Het resultaat toont de co\u00ebffici\u00ebnten<\/a> van het regressiemodel.<\/span><\/p>\n