{"id":2897,"date":"2023-07-20T04:47:53","date_gmt":"2023-07-20T04:47:53","guid":{"rendered":"https:\/\/statorials.org\/ko\/lm-fitx-na-nan-inf-y%e1%84%8b%e1%85%b4-r-%e1%84%8b%e1%85%a9%e1%84%85%e1%85%b2\/"},"modified":"2023-07-20T04:47:53","modified_gmt":"2023-07-20T04:47:53","slug":"lm-fitx-na-nan-inf-y%e1%84%8b%e1%85%b4-r-%e1%84%8b%e1%85%a9%e1%84%85%e1%85%b2","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/lm-fitx-na-nan-inf-y%e1%84%8b%e1%85%b4-r-%e1%84%8b%e1%85%a9%e1%84%85%e1%85%b2\/","title":{"rendered":"\ud574\uacb0 \ubc29\ubc95: lm.fit(x, y, offset = offset, \u2026)\uc758 \uc624\ub958: 'y'\uc758 na\/nan\/inf"},"content":{"rendered":"

<\/p>\n

\n

R\uc744 \uc0ac\uc6a9\ud560 \ub54c \ubc1c\uc0dd\ud560 \uc218 \uc788\ub294 \uc624\ub958\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/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
 \uc774 \uc624\ub958\ub294 R\uc5d0\uc11c \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \ub9de\ucd94\uae30 \uc704\ud574 lm()<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub824\uace0 \uc2dc\ub3c4\ud588\uc9c0\ub9cc \uc608\uce21 \ubcc0\uc218 \ub610\ub294 \uc751\ub2f5 \ubcc0\uc218\uc5d0 NaN<\/strong> \ub610\ub294 Inf<\/strong> \uac12\uc774 \ud3ec\ud568\ub418\uc5b4 \uc788\uc744 \ub54c \ubc1c\uc0dd\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \uc624\ub958\ub97c \uc7ac\ud604\ud558\ub294 \ubc29\ubc95<\/strong><\/span><\/h3>\n
 \ub2e4\uc591\ud55c \ub18d\uad6c \uc120\uc218\ub4e4\uc774 \ud50c\ub808\uc774\ud55c \uc2dc\uac04\uacfc \ub4dd\uc810\ud55c \uc810\uc218\uc5d0 \ub300\ud55c \uc815\ubcf4\ub97c \ud3ec\ud568\ud558\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \ub370\uc774\ud130 \ud504\ub808\uc784\uc774 R\uc5d0 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/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
 \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0\ub294 NaN<\/strong> \ubc0f Inf<\/strong> \uac12\uc774 \ud3ec\ud568\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/span><\/p>\n
 \uc774\uc81c \uc608\uce21 \ubcc0\uc218\ub85c “\ubd84”\uc744 \uc0ac\uc6a9\ud558\uace0 \uc751\ub2f5 \ubcc0\uc218\ub85c “\uc810”\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \uc801\ud569\uc2dc\ud0a4\ub824\uace0 \ud55c\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/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
 \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0 NaN<\/strong> \ubc0f Inf<\/strong> \uac12\uc774 \uc874\uc7ac\ud558\uae30 \ub54c\ubb38\uc5d0 \uc624\ub958\uac00 \ubc1c\uc0dd\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95<\/strong><\/span><\/h3>\n
 \ub370\uc774\ud130 \ud504\ub808\uc784\uc758 NA<\/strong> \uac12\uc740 \ubb38\uc81c\uac00 \ub418\uc9c0 \uc54a\ub294\ub2e4\ub294 \uc810\uc5d0 \uc720\uc758\ud574\uc57c \ud569\ub2c8\ub2e4. \uc2e4\uc81c\ub85c R\uc740 \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \ud53c\ud305\ud560 \ub54c NA<\/strong> \uac12\uc744 \ub2e8\uc21c\ud788 \ubb34\uc2dc\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uc2e4\uc81c \ubb38\uc81c\ub294 NaN<\/strong> \ubc0f Inf<\/strong> \uac12\uc73c\ub85c \uc778\ud574 \ubc1c\uc0dd\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774 \ubb38\uc81c\ub97c \ud574\uacb0\ud558\ub294 \uac00\uc7a5 \uc26c\uc6b4 \ubc29\ubc95\uc740 NaN<\/strong> \ubc0f Inf<\/strong> \uac12\uc744 NA<\/strong> \uac12\uc73c\ub85c \ubc14\uafb8\ub294 \uac83\uc785\ub2c8\ub2e4.<\/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
 \uc774\uc81c \ud68c\uadc0 \ubaa8\ub378\uc744 \uc870\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/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
 \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0\uc11c NaN<\/strong> \ubc0f Inf<\/strong> \uac12\uc744 \uad50\uccb4\ud588\uae30 \ub54c\ubb38\uc5d0 \uc624\ub958\uac00 \ubc1c\uc0dd\ud558\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 R\uc758 \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 R\uc5d0\uc11c \uc218\uc815\ud558\ub294 \ubc29\ubc95: \uc608\uc0c1\uce58 \ubabb\ud55c \ubb38\uc790\uc5f4 \uc0c1\uc218<\/a>
 R \uc218\uc815 \ubc29\ubc95: ExtractVars\uc758 \uc798\ubabb\ub41c \ud15c\ud50c\ub9bf \uc218\uc2dd
 R\uc5d0\uc11c \uc218\uc815\ud558\ub294 \ubc29\ubc95: \uc778\uc218\uac00 \uc22b\uc790\ub3c4 \uc544\ub2c8\uace0 \ub17c\ub9ac\ub3c4 \uc544\ub2d9\ub2c8\ub2e4. return na<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
R\uc744 \uc0ac\uc6a9\ud560 \ub54c \ubc1c\uc0dd\ud560 \uc218 \uc788\ub294 \uc624\ub958\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4. Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, …): NA\/NaN\/Inf in ‘y’ \uc774 \uc624\ub958\ub294 R\uc5d0\uc11c \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \ub9de\ucd94\uae30 \uc704\ud574 lm() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub824\uace0 \uc2dc\ub3c4\ud588\uc9c0\ub9cc \uc608\uce21 \ubcc0\uc218 \ub610\ub294 \uc751\ub2f5 \ubcc0\uc218\uc5d0 NaN \ub610\ub294 Inf \uac12\uc774 \ud3ec\ud568\ub418\uc5b4 \uc788\uc744 \ub54c \ubc1c\uc0dd\ud569\ub2c8\ub2e4. \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95\uc744 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-2897","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\n\ud574\uacb0 \ubc29\ubc95: lm.fit(x, y, offset = offset, ...)\uc758 \uc624\ub958: 'y'\uc758 na\/nan\/inf - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 R\uc5d0\uc11c error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...): na\/nan\/inf in 'y' \uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\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\/ko\/lm-fitx-na-nan-inf-y\u110b\u1174-r-\u110b\u1169\u1105\u1172\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ud574\uacb0 \ubc29\ubc95: lm.fit(x, y, offset = offset, ...)\uc758 \uc624\ub958: 'y'\uc758 na\/nan\/inf - Statorials\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 R\uc5d0\uc11c error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...): na\/nan\/inf in 'y' \uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ko\/lm-fitx-na-nan-inf-y\u110b\u1174-r-\u110b\u1169\u1105\u1172\/\" \/>\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=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ko\/lm-fitx-na-nan-inf-y%e1%84%8b%e1%85%b4-r-%e1%84%8b%e1%85%a9%e1%84%85%e1%85%b2\/\",\"url\":\"https:\/\/statorials.org\/ko\/lm-fitx-na-nan-inf-y%e1%84%8b%e1%85%b4-r-%e1%84%8b%e1%85%a9%e1%84%85%e1%85%b2\/\",\"name\":\"\ud574\uacb0 \ubc29\ubc95: lm.fit(x, y, offset = offset, ...)\uc758 \uc624\ub958: 'y'\uc758 na\/nan\/inf - 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