{"id":2900,"date":"2023-07-20T04:47:53","date_gmt":"2023-07-20T04:47:53","guid":{"rendered":"https:\/\/statorials.org\/tr\/r-lm-fitxte-hata-na-nan-inf-yde\/"},"modified":"2023-07-20T04:47:53","modified_gmt":"2023-07-20T04:47:53","slug":"r-lm-fitxte-hata-na-nan-inf-yde","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/r-lm-fitxte-hata-na-nan-inf-yde\/","title":{"rendered":"Nas\u0131l d\u00fczeltilir: lm.fit(x, y, offset = offset, \u2026): 'y'de na\/nan\/inf hatas\u0131"},"content":{"rendered":"

<\/p>\n

\n

R kullan\u0131rken kar\u015f\u0131la\u015fabilece\u011finiz bir hata:<\/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
 Bu hata, R’de do\u011frusal bir regresyon modelini s\u0131\u011fd\u0131rmak i\u00e7in lm()<\/a> i\u015flevini kullanmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131zda, ancak \u00f6ng\u00f6r\u00fcc\u00fc veya yan\u0131t de\u011fi\u015fkeni NaN<\/strong> veya Inf<\/strong> de\u011ferlerini i\u00e7erdi\u011finde ortaya \u00e7\u0131kar.<\/span><\/p>\n
 A\u015fa\u011f\u0131daki \u00f6rnekte bu hatan\u0131n pratikte nas\u0131l d\u00fczeltilece\u011fi g\u00f6sterilmektedir.<\/span><\/p>\n
 Hata nas\u0131l yeniden olu\u015fturulur?<\/strong><\/span><\/h3>\n
 R’de \u00e7e\u015fitli basketbol oyuncular\u0131n\u0131n oynad\u0131\u011f\u0131 dakikalar ve att\u0131\u011f\u0131 puanlar hakk\u0131nda bilgi i\u00e7eren a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/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
 Veri \u00e7er\u00e7evesinin NaN<\/strong> ve Inf<\/strong> de\u011ferlerini i\u00e7erdi\u011fini unutmay\u0131n.<\/span><\/span><\/p>\n
 \u015eimdi, tahmin de\u011fi\u015fkeni olarak “dakikalar\u0131” ve yan\u0131t de\u011fi\u015fkeni olarak “puanlar\u0131” kullanarak do\u011frusal bir regresyon modeli uydurmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z\u0131 varsayal\u0131m:<\/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
 Veri \u00e7er\u00e7evesinde NaN<\/strong> ve Inf<\/strong> de\u011ferleri mevcut oldu\u011fundan hata al\u0131yoruz.<\/span><\/p>\n
 Hata nas\u0131l d\u00fczeltilir?<\/strong><\/span><\/h3>\n
 Veri \u00e7er\u00e7evesindeki NA<\/strong> de\u011ferlerinin sorun te\u015fkil etmedi\u011fini belirtmek gerekir. Asl\u0131nda R, do\u011frusal regresyon modelini yerle\u015ftirirken NA<\/strong> de\u011ferlerini g\u00f6z ard\u0131 eder.<\/span><\/p>\n
 As\u0131l sorun NaN<\/strong> ve Inf<\/strong> de\u011ferlerinden kaynaklanmaktad\u0131r.<\/span><\/p>\n
 Bunu d\u00fczeltmenin en kolay yolu NaN<\/strong> ve Inf<\/strong> de\u011ferlerini NA<\/strong> de\u011ferleriyle de\u011fi\u015ftirmektir:<\/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
 Art\u0131k regresyon modelini uyarlayabiliriz:<\/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
 NaN<\/strong> ve Inf<\/strong> de\u011ferlerini veri \u00e7er\u00e7evesinde de\u011fi\u015ftirdi\u011fimiz i\u00e7in herhangi bir hata almad\u0131\u011f\u0131m\u0131z\u0131 unutmay\u0131n.<\/span><\/p>\n
 Ek kaynaklar<\/strong><\/span><\/h3>\n
 A\u015fa\u011f\u0131daki e\u011fitimlerde R’deki di\u011fer yayg\u0131n hatalar\u0131n nas\u0131l d\u00fczeltilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n
 R’de nas\u0131l d\u00fczeltilir: beklenmeyen dize sabiti<\/a>
 R’de nas\u0131l d\u00fczeltilir: ExtractVars’ta ge\u00e7ersiz \u015fablon form\u00fcl\u00fc
 R’de nas\u0131l d\u00fczeltilir: arg\u00fcman ne say\u0131sal ne de mant\u0131ksal: return na<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
R kullan\u0131rken kar\u015f\u0131la\u015fabilece\u011finiz bir hata: Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, …): NA\/NaN\/Inf in ‘y’ Bu hata, R’de do\u011frusal bir regresyon modelini s\u0131\u011fd\u0131rmak i\u00e7in lm() i\u015flevini kullanmaya \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131zda, ancak \u00f6ng\u00f6r\u00fcc\u00fc veya yan\u0131t de\u011fi\u015fkeni NaN veya Inf de\u011ferlerini i\u00e7erdi\u011finde ortaya \u00e7\u0131kar. A\u015fa\u011f\u0131daki \u00f6rnekte bu hatan\u0131n pratikte nas\u0131l d\u00fczeltilece\u011fi g\u00f6sterilmektedir. Hata nas\u0131l yeniden […]<\/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-rehber"],"yoast_head":"\nNas\u0131l d\u00fczeltilir: lm.fit(x, y, offset = offset, ...): 'y'de na\/nan\/inf hatas\u0131 - Statorials<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde R'de a\u015fa\u011f\u0131daki hatan\u0131n nas\u0131l d\u00fczeltilece\u011fi a\u00e7\u0131klanmaktad\u0131r: lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) hatas\u0131: 'y'de na\/nan\/inf.\" \/>\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\/tr\/r-lm-fitxte-hata-na-nan-inf-yde\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Nas\u0131l d\u00fczeltilir: lm.fit(x, y, offset = offset, ...): 'y'de na\/nan\/inf hatas\u0131 - 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 Sonu\u00e7 regresyon modelinin katsay\u0131lar\u0131n\u0131<\/a> g\u00f6sterir.<\/span><\/p>\n