{"id":3220,"date":"2023-07-18T15:10:25","date_gmt":"2023-07-18T15:10:25","guid":{"rendered":"https:\/\/statorials.org\/cn\/r-%e5%8f%98%e9%87%8f%e7%9a%84%e6%97%a0%e6%95%88%e7%b1%bb%e5%9e%8b%e5%88%97%e8%a1%a8\/"},"modified":"2023-07-18T15:10:25","modified_gmt":"2023-07-18T15:10:25","slug":"r-%e5%8f%98%e9%87%8f%e7%9a%84%e6%97%a0%e6%95%88%e7%b1%bb%e5%9e%8b%e5%88%97%e8%a1%a8","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/r-%e5%8f%98%e9%87%8f%e7%9a%84%e6%97%a0%e6%95%88%e7%b1%bb%e5%9e%8b%e5%88%97%e8%a1%a8\/","title":{"rendered":"\u5982\u4f55\u5728 r \u4e2d\u4fee\u590d\uff1a\u53d8\u91cf\u7684\u7c7b\u578b\uff08\u5217\u8868\uff09\u65e0\u6548"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u5728 R \u4e2d\u60a8\u53ef\u80fd\u9047\u5230\u7684\u9519\u8bef\u662f\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>Error in model.frame.default(formula = y ~ x, drop.unused.levels = TRUE): \n  invalid type (list) for variable 'x' \n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u5f53\u60a8\u5c1d\u8bd5\u5728 R \u4e2d\u62df\u5408\u56de\u5f52\u6a21\u578b\u6216\u65b9\u5dee\u5206\u6790\u6a21\u578b\u5e76\u4f7f\u7528<strong>\u5217\u8868<\/strong>\u800c\u4e0d\u662f<strong>\u5411\u91cf<\/strong>\u4f5c\u4e3a\u5176\u4e2d\u4e00\u4e2a\u53d8\u91cf\u65f6\uff0c\u901a\u5e38\u4f1a\u53d1\u751f\u6b64\u9519\u8bef\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u672c\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4fee\u590d\u6b64\u9519\u8bef\u3002<\/span><\/p>\n<h2><strong>\u5982\u4f55\u91cd\u73b0\u9519\u8bef<\/strong><\/h2>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u5c1d\u8bd5\u5728 R \u4e2d\u62df\u5408\u4e00\u4e2a<a href=\"https:\/\/statorials.org\/cn\/r-\u4e2d\u7684\u7b80\u5355\u7ebf\u6027\u56de\u5f52\/\" target=\"_blank\" rel=\"noopener\">\u7b80\u5355\u7684\u7ebf\u6027\u56de\u5f52\u6a21\u578b<\/a>\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#define variables\n<span style=\"color: #000000;\">x &lt;- list(1, 4, 4, 5, 7, 8, 9, 10, 13, 14)\ny &lt;- c(10, 13, 13, 14, 18, 20, 22, 24, 29, 31)<\/span>\n\n#attempt to fit regression model\n<span style=\"color: #000000;\">model &lt;- lm(y ~ x)\n\nError in model.frame.default(formula = y ~ x, drop.unused.levels = TRUE): \n  invalid type (list) for variable 'x'\n<\/span><\/span><\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u6536\u5230\u9519\u8bef\uff0c\u56e0\u4e3a<strong>lm()<\/strong>\u51fd\u6570\u53ea\u80fd\u5c06\u5411\u91cf\u4f5c\u4e3a\u8f93\u5165\uff0c\u5e76\u4e14\u53d8\u91cf x \u5f53\u524d\u662f\u4e00\u4e2a\u5217\u8868\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u5982\u4f55\u907f\u514d\u9519\u8bef<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u907f\u514d\u6b64\u9519\u8bef\u7684\u6700\u7b80\u5355\u65b9\u6cd5\u662f\u7b80\u5355\u5730\u4f7f\u7528<a href=\"https:\/\/statorials.org\/cn\/\u53d6\u6d88\u8ba2\u9605\/\" target=\"_blank\" rel=\"noopener\">unlist()<\/a>\u51fd\u6570\u5c06\u5217\u8868\u53d8\u91cf\u8f6c\u6362\u4e3a\u5411\u91cf\uff1a<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#define variables\n<span style=\"color: #000000;\">x &lt;- list(1, 4, 4, 5, 7, 8, 9, 10, 13, 14)\ny &lt;- c(10, 13, 13, 14, 18, 20, 22, 24, 29, 31)\n\n<span style=\"color: #008080;\">#attempt to fit regression model\n<\/span>model &lt;- lm(y ~ unlist(x))\n\n<span style=\"color: #008080;\">#view the model output<\/span>\nsummary(model)\n\nCall:\nlm(formula = y ~ unlist(x))\n\nResiduals:\n    Min 1Q Median 3Q Max \n-1.1282 -0.4194 -0.1087 0.2966 1.7068 \n\nCoefficients:\n            Estimate Std. Error t value Pr(&gt;|t|)    \n(Intercept) 6.58447 0.55413 11.88 2.31e-06 ***\nunlist(x) 1.70874 0.06544 26.11 4.97e-09 ***\n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 0.8134 on 8 degrees of freedom\nMultiple R-squared: 0.9884, Adjusted R-squared: 0.987 \nF-statistic: 681.8 on 1 and 8 DF, p-value: 4.97e-09\n<\/span><\/span><\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u8fd9\u6b21\u6211\u4eec\u80fd\u591f\u62df\u5408\u7b80\u5355\u7684\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u800c\u4e0d\u4f1a\u51fa\u73b0\u4efb\u4f55\u9519\u8bef\uff0c\u56e0\u4e3a\u6211\u4eec\u4f7f\u7528<strong>unlist()<\/strong>\u5c06\u53d8\u91cf x \u8f6c\u6362\u4e3a\u5411\u91cf\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u5982\u679c\u60a8\u6b63\u5728\u62df\u5408<a href=\"https:\/\/statorials.org\/cn\/\u591a\u5143\u7ebf\u6027\u56de\u5f52\/\" target=\"_blank\" rel=\"noopener\">\u591a\u5143\u7ebf\u6027\u56de\u5f52\u6a21\u578b<\/a>\uff0c\u5e76\u4e14\u60a8\u6709\u591a\u4e2a\u5f53\u524d\u4e3a\u5217\u8868\u5bf9\u8c61\u7684\u9884\u6d4b\u53d8\u91cf\uff0c\u5219\u53ef\u4ee5\u5728\u62df\u5408\u56de\u5f52\u6a21\u578b\u4e4b\u524d\u4f7f\u7528<strong>unlist()<\/strong>\u5c06\u6bcf\u4e2a\u53d8\u91cf\u8f6c\u6362\u4e3a\u5411\u91cf\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#define variables\n<span style=\"color: #000000;\">x1 &lt;- list(1, 4, 4, 5, 7, 8, 9, 10, 13, 14)\nx2 &lt;- list(20, 16, 16, 15, 16, 12, 10, 8, 8, 4)\ny &lt;- c(10, 13, 13, 14, 18, 20, 22, 24, 29, 31)\n\n<span style=\"color: #008080;\">#fit multiple linear regression model\n<\/span>model &lt;- lm(y ~ unlist(x1) + unlist(x2))\n\n<span style=\"color: #008080;\">#view the model output\n<\/span>summary(model)\n\nCall:\nlm(formula = y ~ unlist(x1) + unlist(x2))\n\nResiduals:\n    Min 1Q Median 3Q Max \n-1.1579 -0.4211 -0.1386 0.3108 1.7130 \n\nCoefficients:\n            Estimate Std. Error t value Pr(&gt;|t|)    \n(Intercept) 8.34282 4.44971 1.875 0.102932    \nunlist(x1) 1.61339 0.24899 6.480 0.000341 ***\nunlist(x2) -0.08346 0.20937 -0.399 0.702044    \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 0.8599 on 7 degrees of freedom\nMultiple R-squared: 0.9887, Adjusted R-squared: 0.9854 \nF-statistic: 305.1 on 2 and 7 DF, p-value: 1.553e-07<\/span><\/span><\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u540c\u6837\uff0c\u6211\u4eec\u6ca1\u6709\u6536\u5230\u4efb\u4f55\u9519\u8bef\uff0c\u56e0\u4e3a\u6211\u4eec\u5c06\u5217\u8868\u4e2d\u7684\u6bcf\u4e2a\u5bf9\u8c61\u8f6c\u6362\u4e3a\u5411\u91cf\u3002<\/span><\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 R \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u64cd\u4f5c\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/\u89e3\u91ca-r-\u4e2d\u7684-glm-\u8f93\u51fa\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u89e3\u91ca R \u4e2d\u7684 glm \u8f93\u51fa<\/a><br \/> <a href=\"https:\/\/statorials.org\/cn\/\u5728-r-\u4e2d\u89e3\u91ca-lanova-\u7ed3\u679c\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u89e3\u91ca R \u4e2d\u7684\u65b9\u5dee\u5206\u6790\u7ed3\u679c<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/glm\u62df\u5408\u7b97\u6cd5\u6ca1\u6709\u6536\u655b\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5904\u7406 R \u8b66\u544a\uff1aglm.fit\uff1a\u7b97\u6cd5\u672a\u6536\u655b<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5728 R \u4e2d\u60a8\u53ef\u80fd\u9047\u5230\u7684\u9519\u8bef\u662f\uff1a Error in model.frame.default(formula =  [&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-3220","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - 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