{"id":1407,"date":"2023-07-26T12:37:50","date_gmt":"2023-07-26T12:37:50","guid":{"rendered":"https:\/\/statorials.org\/cn\/r%e4%b8%ad%e7%9a%84%e8%99%9a%e6%8b%9f%e5%8f%98%e9%87%8f\/"},"modified":"2023-07-26T12:37:50","modified_gmt":"2023-07-26T12:37:50","slug":"r%e4%b8%ad%e7%9a%84%e8%99%9a%e6%8b%9f%e5%8f%98%e9%87%8f","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/r%e4%b8%ad%e7%9a%84%e8%99%9a%e6%8b%9f%e5%8f%98%e9%87%8f\/","title":{"rendered":"\u5982\u4f55\u5728 r \u4e2d\u521b\u5efa\u865a\u62df\u53d8\u91cf\uff08\u9010\u6b65\uff09"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/cn\/\u56de\u5f52\u865a\u62df\u53d8\u91cf\/\" target=\"_blank\" rel=\"noopener\">\u865a\u62df\u53d8\u91cf<\/a>\u662f\u6211\u4eec\u5728\u56de\u5f52\u5206\u6790\u4e2d\u521b\u5efa\u7684\u4e00\u79cd\u53d8\u91cf\uff0c\u4ee5\u4fbf\u6211\u4eec\u53ef\u4ee5\u5c06\u5206\u7c7b\u53d8\u91cf\u8868\u793a\u4e3a\u91c7\u7528\u4e24\u4e2a\u503c\u4e4b\u4e00\u7684\u6570\u503c\u53d8\u91cf\uff1a\u96f6\u6216\u4e00\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4f8b\u5982\uff0c\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b\u6570\u636e\u96c6\uff0c\u5e76\u5e0c\u671b\u4f7f\u7528<em>\u5e74\u9f84<\/em>\u548c<em>\u5a5a\u59fb\u72b6\u51b5<\/em>\u6765\u9884\u6d4b<em>\u6536\u5165<\/em>\uff1a<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-13944 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/mannequin4.png\" alt=\"\" width=\"246\" height=\"309\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u8981\u5c06<em>\u5a5a\u59fb\u72b6\u51b5<\/em>\u7528\u4f5c\u56de\u5f52\u6a21\u578b\u4e2d\u7684\u9884\u6d4b\u53d8\u91cf\uff0c\u6211\u4eec\u9700\u8981\u5c06\u5176\u8f6c\u6362\u4e3a\u865a\u62df\u53d8\u91cf\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u7531\u4e8e\u76ee\u524d\u8fd9\u662f\u4e00\u4e2a\u53ef\u4ee5\u91c7\u7528\u4e09\u4e2a\u4e0d\u540c\u503c\uff08\u201c\u5355\u8eab\u201d\u3001\u201c\u5df2\u5a5a\u201d\u6216\u201c\u79bb\u5a5a\u201d\uff09\u7684\u5206\u7c7b\u53d8\u91cf\uff0c\u56e0\u6b64\u6211\u4eec\u9700\u8981\u521b\u5efa<em>k<\/em> -1 = 3-1 = 2 \u4e2a\u865a\u62df\u53d8\u91cf\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8981\u521b\u5efa\u8fd9\u4e2a\u865a\u62df\u53d8\u91cf\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u201cSingle\u201d\u4fdd\u7559\u4e3a\u57fa\u503c\uff0c\u56e0\u4e3a\u5b83\u6700\u5e38\u51fa\u73b0\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u5c06<em>\u5a5a\u59fb\u72b6\u51b5<\/em>\u8f6c\u6362\u4e3a\u865a\u62df\u53d8\u91cf\u7684\u65b9\u6cd5\u5982\u4e0b\uff1a<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-13950 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/mannequin6.png\" alt=\"\" width=\"615\" height=\"311\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u672c\u6559\u7a0b\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5206\u6b65\u793a\u4f8b\uff0c\u8bf4\u660e\u5982\u4f55\u5728 R \u4e2d\u4e3a\u6b64\u7cbe\u786e\u6570\u636e\u96c6\u521b\u5efa\u865a\u62df\u53d8\u91cf\uff0c\u7136\u540e\u4f7f\u7528\u8fd9\u4e9b\u865a\u62df\u53d8\u91cf\u4f5c\u4e3a\u9884\u6d4b\u53d8\u91cf\u6267\u884c\u56de\u5f52\u5206\u6790\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u7b2c 1 \u6b65\uff1a\u521b\u5efa\u6570\u636e<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u9996\u5148\uff0c\u8ba9\u6211\u4eec\u5728 R \u4e2d\u521b\u5efa\u6570\u636e\u96c6\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame<\/span>\ndf &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (income=c(45000, 48000, 54000, 57000, 65000, 69000,\n                          78000, 83000, 98000, 104000, 107000),\n                 age=c(23, 25, 24, 29, 38, 36, 40, 59, 56, 64, 53),\n                 status=c('Single', 'Single', 'Single', 'Single',\n                          'Married', 'Single', 'Married', 'Divorced',\n                          'Divorced', 'Married', 'Married'))\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>df\n\n   income age status\n1 45000 23 Single\n2 48000 25 Single\n3 54000 24 Single\n4 57000 29 Single\n5 65000 38 Married\n6 69000 36 Single\n7 78000 40 Married\n8 83000 59 Divorced\n9 98000 56 Divorced\n10 104000 64 Married\n11 107000 53 Married<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u7b2c 2 \u6b65\uff1a\u521b\u5efa\u865a\u62df\u53d8\u91cf<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528 R \u4e2d\u7684<strong>ifelse()<\/strong>\u51fd\u6570\u6765\u5b9a\u4e49\u865a\u62df\u53d8\u91cf\uff0c\u7136\u540e\u5b9a\u4e49\u6211\u4eec\u8981\u7528\u6765\u6784\u5efa\u56de\u5f52\u6a21\u578b\u7684\u6700\u7ec8\u6570\u636e\u6846\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create dummy variables<\/span>\nmarried &lt;- <span style=\"color: #3366ff;\">ifelse<\/span> (df$status <span style=\"color: #993300;\">==<\/span> ' <span style=\"color: #008000;\">Married<\/span> ', 1, 0)\ndivorced &lt;- <span style=\"color: #3366ff;\">ifelse<\/span> (df$status <span style=\"color: #993300;\">==<\/span> ' <span style=\"color: #008000;\">Divorced<\/span> ', 1, 0)\n\n<span style=\"color: #008080;\">#create data frame to use for regression\n<\/span>df_reg &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (income = df$income,\n                     age = df$age,\n                     married = married,\n                     divorced = divorced)\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>df_reg\n\n   income age married divorced\n1 45000 23 0 0\n2 48000 25 0 0\n3 54000 24 0 0\n4 57000 29 0 0\n5 65000 38 1 0\n6 69000 36 0 0\n7 78000 40 1 0\n8 83000 59 0 1\n9 98000 56 0 1\n10 104000 64 1 0\n11 107000 53 1 0\n<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u6b65\u9aa4 3\uff1a\u6267\u884c\u7ebf\u6027\u56de\u5f52<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6700\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<strong>lm()<\/strong>\u51fd\u6570\u6765\u62df\u5408\u591a\u5143\u7ebf\u6027\u56de\u5f52\u6a21\u578b\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create regression model\n<\/span>model &lt;- <span style=\"color: #3366ff;\">lm<\/span> (income ~ age + married + divorced, data=df_reg)\n\n<span style=\"color: #008080;\">#view regression model output\n<\/span>summary(model)\n\nCall:\nlm(formula = income ~ age + married + divorced, data = df_reg)\n\nResiduals:\n    Min 1Q Median 3Q Max \n-9707.5 -5033.8 45.3 3390.4 12245.4 \n\nCoefficients:\n            Estimate Std. Error t value Pr(&gt;|t|)   \n(Intercept) 14276.1 10411.5 1.371 0.21266   \nage 1471.7 354.4 4.152 0.00428 **\nmarried 2479.7 9431.3 0.263 0.80018   \ndivorced -8397.4 12771.4 -0.658 0.53187   \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 8391 on 7 degrees of freedom\nMultiple R-squared: 0.9008, Adjusted R-squared: 0.8584 \nF-statistic: 21.2 on 3 and 7 DF, p-value: 0.0006865\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u62df\u5408\u56de\u5f52\u7ebf\u7ed3\u679c\u4e3a\uff1a<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6536\u5165 = 14,276.1 + 1,471.7*(\u5e74\u9f84) + 2,479.7*(\u5df2\u5a5a) \u2013 8,397.4*(\u79bb\u5a5a)<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u8fd9\u4e2a\u65b9\u7a0b\u6839\u636e\u4e2a\u4eba\u7684\u5e74\u9f84\u548c\u5a5a\u59fb\u72b6\u51b5\u627e\u5230\u5176\u4f30\u8ba1\u6536\u5165\u3002\u4f8b\u5982\uff0c\u4e00\u4e2a 35 \u5c81\u5df2\u5a5a\u4eba\u58eb\u7684\u4f30\u8ba1\u6536\u5165\u4e3a<strong>68,264 \u7f8e\u5143<\/strong>\uff1a<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6536\u5165 = 14,276.2 + 1,471.7*(35) + 2,479.7*(1) \u2013 8,397.4*(0) = $68,264<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u662f\u5982\u4f55\u89e3\u91ca\u8868\u4e2d\u7684\u56de\u5f52\u7cfb\u6570\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\"><strong>\u622a\u8ddd\uff1a<\/strong>\u622a\u8ddd\u4ee3\u8868\u96f6\u5c81\u5355\u8eab\u4eba\u58eb\u7684\u5e73\u5747\u6536\u5165\u3002\u663e\u7136\uff0c\u5e74\u4efd\u4e0d\u80fd\u4e3a\u96f6\uff0c\u56e0\u6b64\u5728\u8fd9\u4e2a\u7279\u5b9a\u7684\u56de\u5f52\u6a21\u578b\u4e2d\u5355\u72ec\u89e3\u91ca\u622a\u8ddd\u672c\u8eab\u662f\u6ca1\u6709\u610f\u4e49\u7684\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u5e74\u9f84\uff1a<\/strong>\u5e74\u9f84\u6bcf\u589e\u52a0\u4e00\u5e74\uff0c\u6536\u5165\u5e73\u5747\u589e\u52a0 1,471.70 \u7f8e\u5143\u3002\u7531\u4e8e p \u503c (0.004) \u5c0f\u4e8e 0.05\uff0c\u56e0\u6b64\u5e74\u9f84\u662f\u7edf\u8ba1\u4e0a\u663e\u7740\u7684\u6536\u5165\u9884\u6d4b\u56e0\u5b50\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u5df2\u5a5a\uff1a<\/strong>\u5df2\u5a5a\u4eba\u58eb\u7684\u5e73\u5747\u6536\u5165\u6bd4\u5355\u8eab\u4eba\u58eb\u591a 2,479.70 \u7f8e\u5143\u3002\u7531\u4e8e p \u503c (0.800) \u4e0d\u5c0f\u4e8e 0.05\uff0c\u56e0\u6b64\u8fd9\u79cd\u5dee\u5f02\u5728\u7edf\u8ba1\u4e0a\u4e0d\u663e\u7740\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u79bb\u5a5a\uff1a<\/strong>\u79bb\u5a5a\u8005\u7684\u5e73\u5747\u6536\u5165\u6bd4\u5355\u8eab\u8005\u5c11 8,397.40 \u7f8e\u5143\u3002\u7531\u4e8e p \u503c (0.532) \u4e0d\u5c0f\u4e8e 0.05\uff0c\u56e0\u6b64\u8fd9\u79cd\u5dee\u5f02\u5728\u7edf\u8ba1\u4e0a\u4e0d\u663e\u7740\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u7531\u4e8e\u8fd9\u4e24\u4e2a\u865a\u62df\u53d8\u91cf\u5728\u7edf\u8ba1\u4e0a\u90fd\u4e0d\u663e\u7740\uff0c\u56e0\u6b64\u6211\u4eec\u53ef\u4ee5\u4ece\u6a21\u578b\u4e2d\u5220\u9664<em>\u5a5a\u59fb\u72b6\u51b5<\/em>\u4f5c\u4e3a\u9884\u6d4b\u56e0\u5b50\uff0c\u56e0\u4e3a\u5b83\u4f3c\u4e4e\u4e0d\u4f1a\u589e\u52a0\u6536\u5165\u7684\u9884\u6d4b\u4ef7\u503c\u3002<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u865a\u62df\u53d8\u91cf\u662f\u6211\u4eec\u5728\u56de\u5f52\u5206\u6790\u4e2d\u521b\u5efa\u7684\u4e00\u79cd\u53d8\u91cf\uff0c\u4ee5\u4fbf\u6211\u4eec\u53ef\u4ee5\u5c06\u5206\u7c7b\u53d8\u91cf\u8868\u793a\u4e3a\u91c7\u7528\u4e24\u4e2a\u503c\u4e4b\u4e00\u7684\u6570\u503c\u53d8\u91cf\uff1a\u96f6\u6216\u4e00\u3002 \u4f8b\u5982 [&hellip;]<\/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-1407","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u5982\u4f55\u5728 R \u4e2d\u521b\u5efa\u865a\u62df\u53d8\u91cf\uff08\u9010\u6b65\uff09<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u5728 R \u4e2d\u521b\u5efa\u865a\u62df\u53d8\u91cf\uff0c\u5305\u62ec\u5206\u6b65\u793a\u4f8b\u3002\" \/>\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\/cn\/r\u4e2d\u7684\u865a\u62df\u53d8\u91cf\/\" \/>\n<meta property=\"og:locale\" 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