{"id":3074,"date":"2023-07-19T08:12:24","date_gmt":"2023-07-19T08:12:24","guid":{"rendered":"https:\/\/statorials.org\/ko\/evalpredvars-%e1%84%83%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%90%e1%85%a5-env-%e1%84%80%e1%85%a2%e1%84%8e%e1%85%a6%e1%84%8b%e1%85%a6-%e1%84%8b%e1%85%a9%e1%84%85%e1%85%b2%e1%84%80%e1%85%a1-%e1%84%8b%e1%85%b5\/"},"modified":"2023-07-19T08:12:24","modified_gmt":"2023-07-19T08:12:24","slug":"evalpredvars-%e1%84%83%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%90%e1%85%a5-env-%e1%84%80%e1%85%a2%e1%84%8e%e1%85%a6%e1%84%8b%e1%85%a6-%e1%84%8b%e1%85%a9%e1%84%85%e1%85%b2%e1%84%80%e1%85%a1-%e1%84%8b%e1%85%b5","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/evalpredvars-%e1%84%83%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%90%e1%85%a5-env-%e1%84%80%e1%85%a2%e1%84%8e%e1%85%a6%e1%84%8b%e1%85%a6-%e1%84%8b%e1%85%a9%e1%84%85%e1%85%b2%e1%84%80%e1%85%a1-%e1%84%8b%e1%85%b5\/","title":{"rendered":"\ud574\uacb0 \ubc29\ubc95: eval(predvars, data, env) \uc624\ub958: 'x' \uac1c\uccb4\ub97c \ucc3e\uc744 \uc218 \uc5c6\uc2b5\ub2c8\ub2e4."},"content":{"rendered":"

<\/p>\n

\n

R\uc5d0\uc11c \ubc1c\uc0dd\ud560 \uc218 \uc788\ub294 \uc624\ub958\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 Error in eval(predvars, data, env): object 'x' not found \n<\/strong><\/pre>\n
 \uc774 \uc624\ub958\ub294 R\uc5d0\uc11c \ud68c\uadc0 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc0c8 \ub370\uc774\ud130 \ud504\ub808\uc784\uc758 \uc751\ub2f5 \uac12\uc744 \uc608\uce21\ud558\ub824\uace0 \uc2dc\ub3c4\ud588\uc9c0\ub9cc \uc0c8 \ub370\uc774\ud130 \ud504\ub808\uc784\uc758 \uc5f4 \uc774\ub984\uc774 \uc774\uc804\uc5d0 \uc0ac\uc6a9\ud55c \ub370\uc774\ud130 \ud504\ub808\uc784\uc758 \uc5f4 \uc774\ub984\uacfc \uc77c\uce58\ud558\uc9c0 \uc54a\uc744 \ub54c \ubc1c\uc0dd\ud569\ub2c8\ub2e4. \ubaa8\ub378\uc5d0 \ub9de\uac8c. .<\/span><\/p>\n
 \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc774 \uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95\uc744 \uc815\ud655\ud558\uac8c \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uc624\ub958\ub97c \uc7ac\ud604\ud558\ub294 \ubc29\ubc95<\/strong><\/h3>\n
 R\uc5d0 \uac04\ub2e8\ud55c \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \uc801\ud569\ud558\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 #create data frame\ndata <- data. frame<\/span> (x=c(1, 2, 2, 3, 5, 6, 8, 9),\n                   y=c(7, 8, 8, 6, 9, 8, 12, 14))\n\n#fit linear regression model to data\n<\/span>model <- lm(y ~ x, data=data)\n\n#view summary of model\n<\/span>summary(model)\n\nCall:\nlm(formula = y ~ x, data = data)\n\nResiduals:\n    Min 1Q Median 3Q Max \n-2.1613 -0.7500 0.5000 0.9355 1.5161 \n\nCoefficients:\n            Estimate Std. Error t value Pr(>|t|)   \n(Intercept) 5.5161 0.9830 5.611 0.00137 **\nx 0.7742 0.1858 4.167 0.00590 **\n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 1.463 on 6 degrees of freedom\nMultiple R-squared: 0.7432, Adjusted R-squared: 0.7004 \nF-statistic: 17.37 on 1 and 6 DF, p-value: 0.005896\n<\/span><\/span><\/strong><\/span><\/pre>\n
 \uc774\uc81c \uc608\uce21()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc0c8 \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0 \ub300\ud55c \uc751\ub2f5 \uac12\uc744 \uc608\uce21\ud558\ub824\uace0 \ud55c\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #define new data frame\nnew_data <- data. frame<\/span> (x1=c(4, 5, 7, 8, 9))\n<\/span>\n#attempt to predict y values for new data frame\npredict(model, newdata=new_data)\n\nError in eval(predvars, data, env): object 'x' not found\n<\/span><\/span><\/strong><\/span><\/pre>\n
 \ubaa8\ub378\uc744 \ud53c\ud305\ud560 \ub54c \uc0ac\uc6a9\ud55c \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0 x<\/strong> \ub77c\ub294 \uc608\uce21 \ubcc0\uc218\uac00 \uc788\uc5c8\uc9c0\ub9cc \uc0c8 \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0\uc11c\ub294 \uc608\uce21 \ubcc0\uc218 \uc774\ub984\uc744 x1<\/strong> \ub85c \uc9c0\uc815\ud588\uae30 \ub54c\ubb38\uc5d0 \uc624\ub958\uac00 \ubc1c\uc0dd\ud569\ub2c8\ub2e4.<\/span><\/span><\/p>\n
 \uc774\ub984\uc774 \uc77c\uce58\ud558\uc9c0 \uc54a\uc73c\ubbc0\ub85c \uc624\ub958\uac00 \ubc1c\uc0dd\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95<\/strong><\/span><\/h3>\n
 \uc774 \uc624\ub958\ub97c \ud574\uacb0\ud558\ub294 \ubc29\ubc95\uc740 \uc0c8 \ub370\uc774\ud130 \ud504\ub808\uc784\uc758 \uc608\uce21 \ubcc0\uc218\uac00 \ub3d9\uc77c\ud55c \uc774\ub984\uc744 \uac16\ub3c4\ub85d \ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n
 \ub530\ub77c\uc11c \uc0c8 \ub370\uc774\ud130 \ube14\ub85d\uc5d0\uc11c \uc608\uce21 \ubcc0\uc218 x<\/strong> \uc758 \uc774\ub984\uc744 \uc9c0\uc815\ud574\uc57c \ud569\ub2c8\ub2e4.<\/span><\/p>\n
 #define new data frame\nnew_data <- data. frame<\/span> (x=c(4, 5, 7, 8, 9)) \n<\/span><\/span><\/strong><\/span><\/pre>\n
 \uc774\uc81c \uc608\uce21()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc0c8 \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0 \ub300\ud55c \uc751\ub2f5 \uac12\uc744 \uc608\uce21\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #predict y values for new data frame\n<\/span>predict(model, newdata=new_data)\n\n        1 2 3 4 5 \n 8.612903 9.387097 10.935484 11.709677 12.483871<\/span>\n<\/span><\/strong><\/span><\/pre>\n
 \uc5f4 \uc774\ub984\uc774 \uc77c\uce58\ud558\ubbc0\ub85c \uc624\ub958 \uc5c6\uc774 \uc0c8 \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0 \ub300\ud55c y \uac12\uc744 \uc131\uacf5\uc801\uc73c\ub85c \uc608\uce21\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/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 \ud574\uacb0\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 R\uc5d0\uc11c \uc218\uc815\ud558\ub294 \ubc29\ubc95: \uc774\ub984\uc774 \uc774\uc804 \uc774\ub984\uacfc \uc77c\uce58\ud558\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4.<\/a>
 R\uc5d0\uc11c \uc218\uc815\ud558\ub294 \ubc29\ubc95: \uae34 \ubb3c\uccb4\uc758 \uae38\uc774\uac00 \ub354 \uc9e7\uc740 \ubb3c\uccb4 \uae38\uc774\uc758 \ubc30\uc218\uac00 \uc544\ub2d9\ub2c8\ub2e4.<\/a>
 R\uc5d0\uc11c \uc218\uc815\ud558\ub294 \ubc29\ubc95: \ub300\ube44\ub294 \uc218\uc900\uc774 2\uac1c \uc774\uc0c1\uc778 \uc694\uc778\uc5d0\ub9cc \uc801\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
R\uc5d0\uc11c \ubc1c\uc0dd\ud560 \uc218 \uc788\ub294 \uc624\ub958\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4. Error in eval(predvars, data, env): object ‘x’ not found \uc774 \uc624\ub958\ub294 R\uc5d0\uc11c \ud68c\uadc0 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc0c8 \ub370\uc774\ud130 \ud504\ub808\uc784\uc758 \uc751\ub2f5 \uac12\uc744 \uc608\uce21\ud558\ub824\uace0 \uc2dc\ub3c4\ud588\uc9c0\ub9cc \uc0c8 \ub370\uc774\ud130 \ud504\ub808\uc784\uc758 \uc5f4 \uc774\ub984\uc774 \uc774\uc804\uc5d0 \uc0ac\uc6a9\ud55c \ub370\uc774\ud130 \ud504\ub808\uc784\uc758 \uc5f4 \uc774\ub984\uacfc \uc77c\uce58\ud558\uc9c0 \uc54a\uc744 \ub54c \ubc1c\uc0dd\ud569\ub2c8\ub2e4. \ubaa8\ub378\uc5d0 \ub9de\uac8c. . \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc774 \uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95\uc744 \uc815\ud655\ud558\uac8c \uc124\uba85\ud569\ub2c8\ub2e4. […]<\/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-3074","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\n\uc218\uc815 \ubc29\ubc95: \ud3c9\uac00 \uc624\ub958(predvars, data, env): 'x' \uac1c\uccb4\ub97c \ucc3e\uc744 \uc218 \uc5c6\uc74c - \ud1b5\uacc4<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 R\uc5d0\uc11c \ub2e4\uc74c \uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. eval(predvars, data, env) \uc624\ub958: \uac1c\uccb4 'x'\ub97c \ucc3e\uc744 \uc218 \uc5c6\uc2b5\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\/evalpredvars-\u1103\u1166\u110b\u1175\u1110\u1165-env-\u1100\u1162\u110e\u1166\u110b\u1166-\u110b\u1169\u1105\u1172\u1100\u1161-\u110b\u1175\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\uc218\uc815 \ubc29\ubc95: \ud3c9\uac00 \uc624\ub958(predvars, data, env): 'x' \uac1c\uccb4\ub97c \ucc3e\uc744 \uc218 \uc5c6\uc74c - 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