{"id":3493,"date":"2023-07-17T04:45:57","date_gmt":"2023-07-17T04:45:57","guid":{"rendered":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%b4-%e1%84%89%e1%85%a1%e1%86%bc%e1%84%80%e1%85%aa%e1%86%ab-%e1%84%92%e1%85%b5%e1%84%90%e1%85%b3%e1%84%86%e1%85%a2%e1%86%b8\/"},"modified":"2023-07-17T04:45:57","modified_gmt":"2023-07-17T04:45:57","slug":"r%e1%84%8b%e1%85%b4-%e1%84%89%e1%85%a1%e1%86%bc%e1%84%80%e1%85%aa%e1%86%ab-%e1%84%92%e1%85%b5%e1%84%90%e1%85%b3%e1%84%86%e1%85%a2%e1%86%b8","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%b4-%e1%84%89%e1%85%a1%e1%86%bc%e1%84%80%e1%85%aa%e1%86%ab-%e1%84%92%e1%85%b5%e1%84%90%e1%85%b3%e1%84%86%e1%85%a2%e1%86%b8\/","title":{"rendered":"R\uc5d0\uc11c \uc0c1\uad00\uad00\uacc4 \ud788\ud2b8\ub9f5\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec R\uc5d0\uc11c \uc0c1\uad00 \uc5f4 \uc9c0\ub3c4\ub97c \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate correlation between each pairwise combination of variables\n<\/span>cor_df &lt;- round(cor(df), 2)\n\n<span style=\"color: #008080;\">#melt the data frame\n<\/span>melted_cormat &lt;- melt(cor_df)\n\n<span style=\"color: #008080;\">#create correlation heatmap\n<\/span>ggplot(data = melted_cormat, aes(x=Var1, y=Var2, fill=value)) + \n  geom_tile() +\n  geom_text(aes(Var2, Var1, label = value), size = <span style=\"color: #008000;\">5<\/span> ) +\n  scale_fill_gradient2(low = \" <span style=\"color: #ff0000;\">blue<\/span> \", high = \" <span style=\"color: #ff0000;\">red<\/span> \",\n                       limit = c(-1,1), name=\" <span style=\"color: #ff0000;\">Correlation<\/span> \") +\n  theme(axis. <span style=\"color: #3366ff;\">title<\/span> . <span style=\"color: #3366ff;\">x<\/span> = element_blank(),\n        axis. <span style=\"color: #3366ff;\">title<\/span> . <span style=\"color: #3366ff;\">y<\/span> = element_blank(),\n        panel. <span style=\"color: #3366ff;\">background<\/span> = element_blank())\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\uc608: R\uc5d0\uc11c \uc0c1\uad00\uad00\uacc4 \ud788\ud2b8\ub9f5 \uc0dd\uc131<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">8\uba85\uc758 \uc11c\ub85c \ub2e4\ub978 \ub18d\uad6c \uc120\uc218\uc5d0 \ub300\ud55c \ub2e4\uc591\ud55c \ud1b5\uacc4\ub97c \ubcf4\uc5ec\uc8fc\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<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame\n<span style=\"color: #000000;\">df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (points=c(22, 25, 30, 16, 14, 18, 29, 22),\n                 assists=c(4, 4, 5, 7, 8, 6, 7, 12),\n                 rebounds=c(10, 7, 7, 6, 8, 5, 4, 3),\n                 blocks=c(12, 4, 4, 6, 5, 3, 8, 5))\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>df\n\n  points assists rebounds blocks\n1 22 4 10 12\n2 25 4 7 4\n3 30 5 7 4\n4 16 7 6 6\n5 14 8 8 5\n6 18 6 5 3\n7 29 7 4 8\n8 22 12 3 5<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub370\uc774\ud130 \ud504\ub808\uc784\uc758 \uac01 \uc30d\ubcc4 \ubcc0\uc218 \uc870\ud569 \uac04\uc758 <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1175\u110b\u1165\u1109\u1173\u11ab-\u1109\u1161\u11bc\u1100\u116a\u11ab-\u1100\u1168\u1109\u116e-1\/\" target=\"_blank\" rel=\"noopener\">\uc0c1\uad00 \uacc4\uc218\ub97c<\/a> \uc2dc\uac01\ud654\ud558\uae30 \uc704\ud574 \uc0c1\uad00 \ud788\ud2b8\ub9f5\uc744 \uc0dd\uc131\ud55c\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\uc0c1\uad00 \ud788\ud2b8\ub9f5\uc744 \ub9cc\ub4e4\uae30 \uc804\uc5d0 \uba3c\uc800 <strong>cor()\ub97c<\/strong> \uc0ac\uc6a9\ud558\uc5ec \uac01 \ubcc0\uc218 \uac04\uc758 \uc0c1\uad00 \uacc4\uc218\ub97c \uacc4\uc0b0\ud55c \ub2e4\uc74c \ud328\ud0a4\uc9c0\uc758 <strong>Melt()<\/strong> \ud568\uc218 <strong>reshape2\ub97c<\/strong> \uc0ac\uc6a9\ud558\uc5ec \uacb0\uacfc\ub97c \uc0ac\uc6a9 \uac00\ub2a5\ud55c \ud615\uc2dd\uc73c\ub85c \ubcc0\ud658\ud574\uc57c \ud569\ub2c8\ub2e4.<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (reshape2)\n\n<span style=\"color: #008080;\">#calculate correlation coefficients, rounded to 2 decimal places\n<\/span>cor_df &lt;- round(cor(df), 2)\n\n<span style=\"color: #008080;\">#melt the data frame\n<\/span>melted_cor &lt;- melt(cor_df)\n\n<span style=\"color: #008080;\">#view head of melted data frame\n<\/span>head(melted_cor)\n\n      Var1 Var2 value\n1 points points 1.00\n2 assist points -0.27\n3 rebound points -0.16\n4 block points 0.10\n5 assist points -0.27\n6 assists assists 1.00<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c\uc73c\ub85c, <strong>ggplot2<\/strong> \ud328\ud0a4\uc9c0\uc758 <strong>geom_tile()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc0c1\uad00\uad00\uacc4 \ud788\ud2b8\ub9f5\uc744 \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (ggplot2)\n\n<span style=\"color: #008080;\">#create correlation heatmap\n<\/span>ggplot(data = melted_cor, aes(x=Var1, y=Var2, fill=value)) + \n  geom_tile() +\n  geom_text(aes(Var2, Var1, label = value), size = <span style=\"color: #008000;\">5<\/span> ) +\n  scale_fill_gradient2(low = \" <span style=\"color: #ff0000;\">blue<\/span> \", high = \" <span style=\"color: #ff0000;\">red<\/span> \",\n                       limit = c(-1,1), name=\" <span style=\"color: #ff0000;\">Correlation<\/span> \") +\n  theme(axis. <span style=\"color: #3366ff;\">title<\/span> . <span style=\"color: #3366ff;\">x<\/span> = element_blank(),\n        axis. <span style=\"color: #3366ff;\">title<\/span> . <span style=\"color: #3366ff;\">y<\/span> = element_blank(),\n        panel. <span style=\"color: #3366ff;\">background<\/span> = element_blank())<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-29105\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/correlationheatmap1.jpg\" alt=\"R\uc758 \uc0c1\uad00 \ud788\ud2b8\ub9f5\" width=\"584\" height=\"364\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\uadf8 \uacb0\uacfc\ub294 \uac01 \uc30d\ubcc4 \ubcc0\uc218 \uc870\ud569 \uac04\uc758 \uc0c1\uad00 \uacc4\uc218\ub97c \uc2dc\uac01\ud654\ud560 \uc218 \uc788\ub294 \uc0c1\uad00 \ud788\ud2b8\ub9f5\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \ud2b9\uc815 \ud788\ud2b8 \ub9f5\uc5d0\uc11c \uc0c1\uad00 \uacc4\uc218\ub294 \ub2e4\uc74c \uc0c9\uc0c1\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>-1<\/strong> \uc5d0 \ub2eb\ud600 \uc788\uc73c\uba74 <strong>\ud30c\ub780\uc0c9<\/strong><\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>0<\/strong> \uc5d0 \uac00\uae4c\uc6b0\uba74 <strong>\ud770\uc0c9<\/strong><\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>1<\/strong> \uc5d0 \uac00\uae4c\uc6b0\uba74 <strong>\ube68\uac04\uc0c9<\/strong><\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>scale_fill_gradient2()<\/strong> \ud568\uc218\uc758 <strong>\ub0ae\uc740<\/strong> \uc778\uc218\uc640 <strong>\ub192\uc740<\/strong> \uc778\uc218\uc5d0 \uc6d0\ud558\ub294 \uc0c9\uc0c1\uc744 \uc790\uc720\ub86d\uac8c \uc0ac\uc6a9\ud558\uc138\uc694.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc608\ub97c \ub4e4\uc5b4 \ub0ae\uc740 \uac12\uc5d0\ub294 &#8220;\ube68\uac04\uc0c9&#8221;\uc744 \uc0ac\uc6a9\ud558\uace0 \ub192\uc740 \uac12\uc5d0\ub294 &#8220;\ub179\uc0c9&#8221;\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (ggplot2)\n\n<span style=\"color: #008080;\">#create correlation heatmap\n<\/span>ggplot(data = melted_cor, aes(x=Var1, y=Var2, fill=value)) + \n  geom_tile() +\n  geom_text(aes(Var2, Var1, label = value), size = <span style=\"color: #008000;\">5<\/span> ) +\n  scale_fill_gradient2(low = \" <span style=\"color: #ff0000;\">red<\/span> \", high = \" <span style=\"color: #ff0000;\">green<\/span> \",\n                       limit = c(-1,1), name=\" <span style=\"color: #ff0000;\">Correlation<\/span> \") +\n  theme(axis. <span style=\"color: #3366ff;\">title<\/span> . <span style=\"color: #3366ff;\">x<\/span> = element_blank(),\n        axis. <span style=\"color: #3366ff;\">title<\/span> . <span style=\"color: #3366ff;\">y<\/span> = element_blank(),\n        panel. <span style=\"color: #3366ff;\">background<\/span> = element_blank())<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-29106\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/correlationheatmap2.jpg\" alt=\"R\uc758 \uc0c1\uad00\uad00\uacc4 \ud788\ud2b8\ub9f5\uacfc \uc0ac\uc6a9\uc790 \uc815\uc758 \uc0c9\uc0c1\" width=\"571\" height=\"359\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ucc38\uace0<\/strong> : \uc0c1\uad00\uad00\uacc4 \ud788\ud2b8\ub9f5\uc758 \uc815\ud655\ud55c \uc0c9\uc0c1\uc744 \ub354\uc6b1 \uc138\ubd80\uc801\uc73c\ub85c \uc81c\uc5b4\ud558\ub824\ub294 \uacbd\uc6b0 \uc0ac\uc6a9\ud560 16\uc9c4\uc218 \uc0c9\uc0c1 \ucf54\ub4dc\ub97c \uc9c0\uc815\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 ggplot2\uc5d0\uc11c \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ko\/\u110e\u116e\u11a8-\u1105\u1166\u110b\u1175\u1107\u1173\u11af-\u1112\u116c\u110c\u1165\u11ab-ggplot2\/\" target=\"_blank\" rel=\"noopener\">ggplot2\uc5d0\uc11c \ucd95 \ub808\uc774\ube14\uc744 \ud68c\uc804\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/ggplot-\u110e\u116e\u11a8-\u110c\u1165\u11b7\u1111\u1173\/\" target=\"_blank\" rel=\"noopener\">ggplot2\uc5d0\uc11c \ucd95 \ub098\ub204\uae30\ub97c \uc124\uc815\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/ggplot2-\u110e\u116e\u11a8-\u110c\u1166\u1112\u1161\u11ab-\u1109\u1165\u11af\u110c\u1165\u11bc\/\" target=\"_blank\" rel=\"noopener\">ggplot2\uc5d0\uc11c \ucd95 \uc81c\ud55c\uc744 \uc124\uc815\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/ggplot-\u1107\u1165\u11b7\u1105\u1168-\u1105\u1166\u110b\u1175\u1107\u1173\u11af\/\" target=\"_blank\" rel=\"noopener\">ggplot2\uc5d0\uc11c \ubc94\ub840 \ub808\uc774\ube14\uc744 \ubcc0\uacbd\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec R\uc5d0\uc11c \uc0c1\uad00 \uc5f4 \uc9c0\ub3c4\ub97c \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. #calculate correlation between each pairwise combination of variables cor_df &lt;- round(cor(df), 2) #melt the data frame melted_cormat &lt;- melt(cor_df) #create correlation heatmap ggplot(data = melted_cormat, aes(x=Var1, y=Var2, fill=value)) + geom_tile() + geom_text(aes(Var2, Var1, label = value), size = 5 ) + scale_fill_gradient2(low = &#8221; [&hellip;]<\/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-3493","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>R\uc5d0\uc11c \uc0c1\uad00\uad00\uacc4 \ud788\ud2b8\ub9f5\uc744 \uc0dd\uc131\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc804\uccb4 \uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec R\uc5d0\uc11c \uc0c1\uad00\uad00\uacc4 \ud788\ud2b8\ub9f5\uc744 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