{"id":2899,"date":"2023-07-20T04:47:53","date_gmt":"2023-07-20T04:47:53","guid":{"rendered":"https:\/\/statorials.org\/id\/r-kesalahan-di-lm-fitx-na-nan-inf-di-y\/"},"modified":"2023-07-20T04:47:53","modified_gmt":"2023-07-20T04:47:53","slug":"r-kesalahan-di-lm-fitx-na-nan-inf-di-y","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/r-kesalahan-di-lm-fitx-na-nan-inf-di-y\/","title":{"rendered":"Cara memperbaiki: kesalahan di lm.fit(x, y, offset = offset, \u2026): na\/nan\/inf di 'y'"},"content":{"rendered":"

<\/p>\n

\n

Kesalahan yang mungkin Anda temui saat menggunakan R adalah:<\/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
 Kesalahan ini terjadi ketika Anda mencoba menggunakan fungsi lm()<\/a> agar sesuai dengan model regresi linier di R, namun variabel prediktor atau respons berisi nilai NaN<\/strong> atau Inf<\/strong> .<\/span><\/p>\n
 Contoh berikut menunjukkan cara memperbaiki kesalahan ini dalam praktiknya.<\/span><\/p>\n
 Bagaimana cara mereproduksi kesalahan tersebut<\/strong><\/span><\/h3>\n
 Misalkan kita memiliki kerangka data berikut di R yang berisi informasi tentang menit bermain dan poin yang dicetak oleh berbagai pemain bola basket:<\/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
 Perhatikan bahwa bingkai data berisi nilai NaN<\/strong> dan Inf<\/strong> .<\/span><\/span><\/p>\n
 Sekarang misalkan kita mencoba menyesuaikan model regresi linier dengan menggunakan “menit” sebagai variabel prediktor dan “titik” sebagai variabel respons:<\/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
 Kami menerima kesalahan karena nilai NaN<\/strong> dan Inf<\/strong> ada dalam bingkai data.<\/span><\/p>\n
 Bagaimana cara memperbaiki kesalahan tersebut<\/strong><\/span><\/h3>\n
 Perlu diperhatikan bahwa nilai NA<\/strong> pada frame data tidak menjadi masalah. Faktanya, R mengabaikan nilai NA<\/strong> saat menyesuaikan model regresi linier.<\/span><\/p>\n
 Masalah sebenarnya disebabkan oleh nilai NaN<\/strong> dan Inf<\/strong> .<\/span><\/p>\n
 Cara termudah untuk memperbaikinya adalah dengan mengganti nilai NaN<\/strong> dan Inf<\/strong> dengan nilai NA<\/strong> :<\/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
 Sekarang kita dapat mengadaptasi model regresi:<\/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
 Perhatikan bahwa kami tidak menerima kesalahan apa pun sejak kami mengganti nilai NaN<\/strong> dan Inf<\/strong> dalam bingkai data.<\/span><\/p>\n
 Sumber daya tambahan<\/strong><\/span><\/h3>\n
 Tutorial berikut menjelaskan cara memperbaiki kesalahan umum lainnya di R:<\/span><\/p>\n
 Cara memperbaikinya di R: konstanta string yang tidak terduga<\/a>
 Cara memperbaiki di R: Rumus template tidak valid di ExtractVars
 Cara memperbaikinya di R: argumen bukan numerik atau logis: return na<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Kesalahan yang mungkin Anda temui saat menggunakan R adalah: Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, …): NA\/NaN\/Inf in ‘y’ Kesalahan ini terjadi ketika Anda mencoba menggunakan fungsi lm() agar sesuai dengan model regresi linier di R, namun variabel prediktor atau respons berisi nilai NaN atau Inf . Contoh berikut menunjukkan cara […]<\/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":[],"yoast_head":"\nCara memperbaiki: kesalahan di lm.fit(x, y, offset = offset, ...): na\/nan\/inf di 'y' - Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara memperbaiki kesalahan berikut di R: error 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\/id\/r-kesalahan-di-lm-fitx-na-nan-inf-di-y\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara memperbaiki: kesalahan di lm.fit(x, y, offset = offset, ...): na\/nan\/inf di 'y' - Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara memperbaiki kesalahan berikut di R: error 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\/id\/r-kesalahan-di-lm-fitx-na-nan-inf-di-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=\"Benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Ditulis oleh\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimasi waktu membaca\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/r-kesalahan-di-lm-fitx-na-nan-inf-di-y\/\",\"url\":\"https:\/\/statorials.org\/id\/r-kesalahan-di-lm-fitx-na-nan-inf-di-y\/\",\"name\":\"Cara memperbaiki: kesalahan di lm.fit(x, y, offset = offset, ...): na\/nan\/inf di 'y' - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-20T04:47:53+00:00\",\"dateModified\":\"2023-07-20T04:47:53+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara memperbaiki kesalahan berikut di R: error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...): na\/nan\/inf in 'y'.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/r-kesalahan-di-lm-fitx-na-nan-inf-di-y\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/r-kesalahan-di-lm-fitx-na-nan-inf-di-y\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/r-kesalahan-di-lm-fitx-na-nan-inf-di-y\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara memperbaiki: kesalahan di lm.fit(x, y, offset = offset, \u2026): na\/nan\/inf di 'y'\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/id\/#website\",\"url\":\"https:\/\/statorials.org\/id\/\",\"name\":\"Statorials\",\"description\":\"Panduan anda untuk kompetensi statistik!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/id\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"id\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\",\"name\":\"Benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"id\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/image\/\",\"url\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin anderson\"},\"description\":\"Halo, saya Benjamin, pensiunan profesor statistika yang menjadi guru Statorial yang berdedikasi. 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 Hasilnya menunjukkan koefisien<\/a> model regresi.<\/span><\/p>\n