{"id":3469,"date":"2023-07-17T08:05:49","date_gmt":"2023-07-17T08:05:49","guid":{"rendered":"https:\/\/statorials.org\/cn\/r-%e5%85%b7%e6%9c%89%e5%88%86%e7%b1%bb%e5%8f%98%e9%87%8f%e7%9a%84%e7%ba%bf%e6%80%a7%e5%9b%9e%e5%bd%92\/"},"modified":"2023-07-17T08:05:49","modified_gmt":"2023-07-17T08:05:49","slug":"r-%e5%85%b7%e6%9c%89%e5%88%86%e7%b1%bb%e5%8f%98%e9%87%8f%e7%9a%84%e7%ba%bf%e6%80%a7%e5%9b%9e%e5%bd%92","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/r-%e5%85%b7%e6%9c%89%e5%88%86%e7%b1%bb%e5%8f%98%e9%87%8f%e7%9a%84%e7%ba%bf%e6%80%a7%e5%9b%9e%e5%bd%92\/","title":{"rendered":"\u5982\u4f55\u5728 r \u4e2d\u4f7f\u7528\u5206\u7c7b\u53d8\u91cf\u6267\u884c\u7ebf\u6027\u56de\u5f52"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u7ebf\u6027\u56de\u5f52\u662f\u4e00\u79cd\u53ef\u4ee5\u7528\u6765\u91cf\u5316\u4e00\u4e2a\u6216\u591a\u4e2a\u9884\u6d4b\u53d8\u91cf\u4e0e<a href=\"https:\/\/statorials.org\/cn\/\u53d8\u91cf\u89e3\u91ca\u6027\u53cd\u5e94\/\" target=\"_blank\" rel=\"noopener\">\u54cd\u5e94\u53d8\u91cf<\/a>\u4e4b\u95f4\u5173\u7cfb\u7684\u65b9\u6cd5\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u901a\u5e38\uff0c\u60a8\u53ef\u80fd\u5e0c\u671b\u4f7f\u7528\u4e00\u4e2a\u6216\u591a\u4e2a<a href=\"https:\/\/statorials.org\/cn\/\u5206\u7c7b\u4e0e\u5b9a\u91cf\/\" target=\"_blank\" rel=\"noopener\">\u5206\u7c7b\u53d8\u91cf<\/a>\u4f5c\u4e3a\u9884\u6d4b\u53d8\u91cf\u6765\u62df\u5408\u56de\u5f52\u6a21\u578b\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u672c\u6559\u7a0b\u63d0\u4f9b\u4e86\u5982\u4f55\u5728 R \u4e2d\u4f7f\u7528\u5206\u7c7b\u53d8\u91cf\u6267\u884c\u7ebf\u6027\u56de\u5f52\u7684\u5206\u6b65\u793a\u4f8b\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u793a\u4f8b\uff1aR \u4e2d\u5206\u7c7b\u53d8\u91cf\u7684\u7ebf\u6027\u56de\u5f52<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u5728 R \u4e2d\u6709\u4ee5\u4e0b\u6570\u636e\u6846\uff0c\u5176\u4e2d\u5305\u542b 12 \u540d\u4e0d\u540c\u7bee\u7403\u8fd0\u52a8\u5458\u7684\u4e09\u4e2a\u53d8\u91cf\u7684\u4fe1\u606f\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u5f97\u5206<\/span><\/li>\n<li><span style=\"color: #000000;\">\u7ec3\u4e60\u6240\u82b1\u7684\u65f6\u95f4<\/span><\/li>\n<li><span style=\"color: #000000;\">\u4f7f\u7528\u7684\u57f9\u8bad\u8ba1\u5212<\/span><\/li>\n<\/ul>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (points=c(7, 7, 9, 10, 13, 14, 12, 10, 16, 19, 22, 18),\n                 hours=c(1, 2, 2, 3, 2, 6, 4, 3, 4, 5, 8, 6),\n                 program=c(1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3))\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>df\n\n   points hours program\n1 7 1 1\n2 7 2 1\n3 9 2 1\n4 10 3 1\n5 13 2 2\n6 14 6 2\n7 12 4 2\n8 10 3 2\n9 16 4 3\n10 19 5 3\n11 22 8 3\n12 18 6 3<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u8981\u62df\u5408\u4ee5\u4e0b\u7ebf\u6027\u56de\u5f52\u6a21\u578b\uff1a<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u79ef\u5206 = \u03b2 <sub>0<\/sub> + \u03b2 <sub>1<\/sub>\u5c0f\u65f6 + \u03b2 <sub>2<\/sub>\u8282\u76ee<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u5728\u6b64\u793a\u4f8b\u4e2d\uff0c\u5c0f\u65f6\u662f\u8fde\u7eed\u53d8\u91cf\uff0c\u4f46\u7a0b\u5e8f\u662f<strong>\u5206\u7c7b\u53d8\u91cf<\/strong>\uff0c\u53ef\u4ee5\u91c7\u7528\u4e09\u4e2a\u53ef\u80fd\u7684\u7c7b\u522b\uff1a\u7a0b\u5e8f 1\u3001\u7a0b\u5e8f 2 \u6216\u7a0b\u5e8f 3\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4e3a\u4e86\u62df\u5408\u8fd9\u4e2a\u56de\u5f52\u6a21\u578b\u5e76\u544a\u8bc9R\u201c\u7a0b\u5e8f\u201d\u53d8\u91cf\u662f\u4e00\u4e2a\u5206\u7c7b\u53d8\u91cf\uff0c\u6211\u4eec\u9700\u8981\u4f7f\u7528<strong>as.factor()<\/strong>\u5c06\u5176\u8f6c\u6362\u4e3a\u56e0\u5b50\uff0c\u7136\u540e\u62df\u5408\u6a21\u578b\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#convert 'program' to factor\n<span style=\"color: #000000;\">df$program &lt;- as. <span style=\"color: #3366ff;\">factor<\/span> (df$program)\n<\/span>\n#fit linear regression model\n<span style=\"color: #000000;\">fit &lt;- lm(points ~ hours + program, data = df)\n<\/span>\n#view model summary\n<span style=\"color: #000000;\">summary(fit)\n\nCall:\nlm(formula = points ~ hours + program, data = df)\n\nResiduals:\n    Min 1Q Median 3Q Max \n-1.5192 -1.0064 -0.3590 0.8269 2.4551 \n\nCoefficients:\n            Estimate Std. Error t value Pr(&gt;|t|)    \n(Intercept) 6.3013 0.9462 6.660 0.000159 ***\nhours 0.9744 0.3176 3.068 0.015401 *  \nprogram2 2.2949 1.1369 2.019 0.078234 .  \nprogram3 6.8462 1.5499 4.417 0.002235 ** \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 1.403 on 8 degrees of freedom\nMultiple R-squared: 0.9392, Adjusted R-squared: 0.9164 \nF-statistic: 41.21 on 3 and 8 DF, p-value: 3.276e-05<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6839\u636e<strong>Estimate<\/strong>\u5217\u4e2d\u7684\u503c\uff0c\u6211\u4eec\u53ef\u4ee5\u7f16\u5199\u62df\u5408\u56de\u5f52\u6a21\u578b\uff1a<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u70b9 = 6.3013 + 0.9744\uff08\u5c0f\u65f6\uff09+ 2.2949\uff08\u7a0b\u5e8f 2\uff09+ 6.8462\uff08\u7a0b\u5e8f 3\uff09<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u662f\u5982\u4f55\u89e3\u91ca\u7ed3\u679c\u4e2d\u7684\u7cfb\u6570\u503c\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\"><strong>\u5c0f\u65f6\u6570<\/strong>\uff1a\u5047\u8bbe\u8ba1\u5212\u4fdd\u6301\u4e0d\u53d8\uff0c\u6bcf\u591a\u82b1\u4e00\u5c0f\u65f6\u7ec3\u4e60<strong>\uff0c\u5f97\u5206\u5e73\u5747\u5c31\u4f1a\u589e\u52a0 0.9744<\/strong> \u3002<\/span>\n<ul>\n<li> <span style=\"color: #000000;\">p \u503c\u4e3a 0.015\uff0c\u8868\u660e\u7ec3\u4e60\u6240\u82b1\u8d39\u7684\u65f6\u95f4\u662f \u03b1 = 0.05 \u6c34\u5e73\u5f97\u5206\u7684\u7edf\u8ba1\u663e\u7740\u9884\u6d4b\u56e0\u5b50\u3002<\/span><\/li>\n<\/ul>\n<\/li>\n<li> <span style=\"color: #000000;\"><strong>Schedule2<\/strong> \uff1a\u5047\u8bbe\u5c0f\u65f6\u6570\u4fdd\u6301\u4e0d\u53d8\uff0c\u4f7f\u7528 Schedule 2 \u7684\u73a9\u5bb6\u5e73\u5747\u6bd4\u4f7f\u7528 Schedule 1 \u7684\u73a9\u5bb6\u591a\u5f97\u5206<strong>2.2949<\/strong>\u5206\u3002<\/span>\n<ul>\n<li> <span style=\"color: #000000;\">p \u503c\u4e3a 0.078\uff0c\u8fd9\u8868\u660e\u5728 \u03b1 = 0.05 \u6c34\u5e73\u4e0a\uff0c\u4f7f\u7528\u7a0b\u5e8f 2 \u7684\u73a9\u5bb6\u4e0e\u4f7f\u7528\u7a0b\u5e8f 1 \u7684\u73a9\u5bb6\u76f8\u6bd4\uff0c\u5f97\u5206\u6ca1\u6709\u7edf\u8ba1\u4e0a\u7684\u663e\u7740\u5dee\u5f02\u3002<\/span><\/li>\n<\/ul>\n<\/li>\n<li> <span style=\"color: #000000;\"><strong>Schedule3<\/strong> \uff1a\u5047\u8bbe\u5c0f\u65f6\u6570\u4fdd\u6301\u4e0d\u53d8\uff0c\u4f7f\u7528 Schedule 3 \u7684\u73a9\u5bb6\u5e73\u5747\u6bd4\u4f7f\u7528 Schedule 1 \u7684\u73a9\u5bb6\u591a\u5f97\u5206<strong>2.2949<\/strong>\u5206\u3002<\/span>\n<ul>\n<li> <span style=\"color: #000000;\">p \u503c\u4e3a 0.002\uff0c\u8868\u660e\u4f7f\u7528\u65b9\u6848 3 \u7684\u7403\u5458\u4e0e\u4f7f\u7528\u65b9\u6848 1 \u7684\u7403\u5458\u76f8\u6bd4\uff0c\u5728 \u03b1 = 0.05 \u6c34\u5e73\u4e0a\u7684\u5f97\u5206\u5b58\u5728\u7edf\u8ba1\u4e0a\u7684\u663e\u7740\u5dee\u5f02\u3002<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u4f7f\u7528\u62df\u5408\u56de\u5f52\u6a21\u578b\uff0c\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u8bad\u7ec3\u6240\u82b1\u8d39\u7684\u603b\u5c0f\u65f6\u6570\u548c\u4ed6\u4eec\u4f7f\u7528\u7684\u7a0b\u5e8f\u6765\u9884\u6d4b\u73a9\u5bb6\u7684\u5f97\u5206\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u6765\u9884\u6d4b\u8bad\u7ec3\u4e86 5 \u4e2a\u5c0f\u65f6\u5e76\u4f7f\u7528\u8bad\u7ec3\u8ba1\u5212 3 \u7684\u7403\u5458\u7684\u5f97\u5206\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define new player\n<\/span>new &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (hours=c(5), program=as. <span style=\"color: #3366ff;\">factor<\/span> (c(3)))\n\n<span style=\"color: #008080;\">#use the fitted model to predict the points for the new player\n<\/span>predict(fit, newdata=new)\n\n       1 \n18.01923 \n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8be5\u6a21\u578b\u9884\u6d4b\u8fd9\u4f4d\u65b0\u73a9\u5bb6\u5c06\u83b7\u5f97<strong>18.01923<\/strong>\u5206\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u5c06\u65b0\u73a9\u5bb6\u7684\u503c\u63d2\u5165\u62df\u5408\u56de\u5f52\u65b9\u7a0b\u6765\u786e\u8ba4\u8fd9\u662f\u6b63\u786e\u7684\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u70b9 = 6.3013 + 0.9744\uff08\u5c0f\u65f6\uff09+ 2.2949\uff08\u7a0b\u5e8f 2\uff09+ 6.8462\uff08\u7a0b\u5e8f 3\uff09<\/span><\/li>\n<li><span style=\"color: #000000;\">\u70b9 = 6.3013 + 0.9744(5) + 2.2949(0) + 6.8462(1)<\/span><\/li>\n<li><span style=\"color: #000000;\">\u79ef\u5206 = 18,019<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u8fd9\u4e0e\u6211\u4eec\u4f7f\u7528 R \u4e2d\u7684<strong>Predict()<\/strong>\u51fd\u6570\u8ba1\u7b97\u7684\u503c\u76f8\u5339\u914d\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 R \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u4efb\u52a1\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/r-\u4e2d\u7684\u7b80\u5355\u7ebf\u6027\u56de\u5f52\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 R \u4e2d\u6267\u884c\u7b80\u5355\u7ebf\u6027\u56de\u5f52<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u591a\u5143\u7ebf\u6027\u56de\u5f52\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 R \u4e2d\u6267\u884c\u591a\u5143\u7ebf\u6027\u56de\u5f52<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u6b8b\u7559\u75d5\u91cf\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 R \u4e2d\u521b\u5efa\u6b8b\u5dee\u56fe<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u7ebf\u6027\u56de\u5f52\u662f\u4e00\u79cd\u53ef\u4ee5\u7528\u6765\u91cf\u5316\u4e00\u4e2a\u6216\u591a\u4e2a\u9884\u6d4b\u53d8\u91cf\u4e0e\u54cd\u5e94\u53d8\u91cf\u4e4b\u95f4\u5173\u7cfb\u7684\u65b9\u6cd5\u3002 \u901a\u5e38\uff0c\u60a8\u53ef\u80fd\u5e0c\u671b\u4f7f\u7528\u4e00\u4e2a\u6216\u591a\u4e2a\u5206\u7c7b\u53d8\u91cf [&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-3469","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\u4f7f\u7528\u5206\u7c7b\u53d8\u91cf\u6267\u884c\u7ebf\u6027\u56de\u5f52 - 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