{"id":511,"date":"2023-07-29T16:18:28","date_gmt":"2023-07-29T16:18:28","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e6%9c%89%e4%ba%ba%e6%84%9f%e5%85%b4%e8%b6%a3-r\/"},"modified":"2023-07-29T16:18:28","modified_gmt":"2023-07-29T16:18:28","slug":"%e6%9c%89%e4%ba%ba%e6%84%9f%e5%85%b4%e8%b6%a3-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e6%9c%89%e4%ba%ba%e6%84%9f%e5%85%b4%e8%b6%a3-r\/","title":{"rendered":"\u5982\u4f55\u5728 r \u4e2d\u521b\u5efa\u548c\u89e3\u91ca qq \u56fe"},"content":{"rendered":"

<\/p>\n

\n

QQ \u56fe<\/strong>\u662f\u201c\u5206\u4f4d\u6570-\u5206\u4f4d\u6570\u201d\u7684\u7f29\u5199\uff0c\u662f\u4e00\u79cd\u56fe\uff0c\u6211\u4eec\u53ef\u4ee5\u7528\u5b83\u6765\u786e\u5b9a\u6570\u636e\u96c6\u662f\u5426\u53ef\u80fd\u6765\u81ea\u7406\u8bba\u5206\u5e03\u3002<\/span><\/p>\n

\u8bb8\u591a\u7edf\u8ba1\u6d4b\u8bd5\u90fd\u5047\u8bbe\u6570\u636e\u96c6\u670d\u4ece\u6b63\u6001\u5206\u5e03\uff0c\u5e76\u4e14 QQ \u56fe\u901a\u5e38\u7528\u4e8e\u8bc4\u4f30\u662f\u5426\u6ee1\u8db3\u6b64\u5047\u8bbe\u3002<\/span><\/p>\n

\u5c3d\u7ba1 QQ \u56fe\u4e0d\u662f\u6b63\u5f0f\u7684\u7edf\u8ba1\u6d4b\u8bd5\uff0c\u4f46\u5b83\u63d0\u4f9b\u4e86\u4e00\u79cd\u7b80\u5355\u7684\u65b9\u6cd5\u6765\u76f4\u89c2\u5730\u68c0\u67e5\u6570\u636e\u96c6\u662f\u5426\u9075\u5faa\u6b63\u6001\u5206\u5e03\uff0c\u5982\u679c\u4e0d\u9075\u5faa\u6b63\u6001\u5206\u5e03\uff0c\u5219\u5982\u4f55\u8fdd\u53cd\u6b64\u5047\u8bbe\u4ee5\u53ca\u54ea\u4e9b\u6570\u636e\u70b9\u53ef\u80fd\u662f\u6b64\u8fdd\u89c4\u7684\u6839\u6e90\u3002<\/span><\/p>\n

\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u7ed8\u5236\u4e24\u7ec4\u5206\u4f4d\u6570\u6765\u521b\u5efa QQ \u56fe\u3002\u5982\u679c\u4e24\u7ec4\u5206\u4f4d\u6570\u6765\u81ea\u76f8\u540c\u7684\u5206\u5e03\uff0c\u5219\u56fe\u4e0a\u7684\u70b9\u5e94\u5927\u81f4\u5f62\u6210\u4e00\u6761\u76f4\u7ebf\u5bf9\u89d2\u7ebf\u3002<\/span><\/p>\n

QQ \u60c5\u8282\u793a\u4f8b<\/span><\/strong><\/figcaption><\/figure>\n

\u5206\u4f4d\u6570<\/strong>\u8868\u793a\u6570\u636e\u96c6\u4e2d\u7684\u70b9\uff0c\u6570\u636e\u7684\u67d0\u4e00\u90e8\u5206\u4f4d\u4e8e\u8be5\u70b9\u4e4b\u4e0b\u3002\u4f8b\u5982\uff0c\u5206\u4f4d\u6570 0.9 \u8868\u793a 90% \u7684\u6570\u636e\u4f4e\u4e8e\u8be5\u70b9\u3002 0.5 \u5206\u4f4d\u6570\u8868\u793a 50% \u7684\u6570\u636e\u4f4e\u4e8e\u8be5\u70b9\uff0c\u4f9d\u6b64\u7c7b\u63a8\u3002<\/span><\/p>\n

QQ \u56fe\u53ef\u8bc6\u522b\u6570\u636e\u6837\u672c\u7684\u5206\u4f4d\u6570\uff0c\u5e76\u5c06\u5176\u4e0e\u7406\u8bba\u5206\u5e03\u7684\u5206\u4f4d\u6570\u8fdb\u884c\u6bd4\u8f83\u3002\u5927\u591a\u6570\u60c5\u51b5\u4e0b\u4f7f\u7528\u6b63\u6001\u5206\u5e03\uff0c\u4f46\u5b9e\u9645\u4e0a\u53ef\u4ee5\u4e3a\u4efb\u4f55\u7406\u8bba\u5206\u5e03\u521b\u5efa QQ \u56fe\u3002<\/span><\/p>\n

\u5982\u679c\u6570\u636e\u70b9\u4f4d\u4e8e QQ \u56fe\u4e2d\u7684\u76f4\u7ebf\u5bf9\u89d2\u7ebf\u4e0a\uff0c\u5219\u6570\u636e\u96c6\u53ef\u80fd\u670d\u4ece\u6b63\u6001\u5206\u5e03\u3002<\/span><\/p>\n

\u5982\u4f55\u5728 R \u4e2d\u521b\u5efa QQ \u56fe<\/strong><\/span><\/h2>\n

\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684qqnorm()<\/strong>\u51fd\u6570\u8f7b\u677e\u521b\u5efa QQ \u56fe\u6765\u68c0\u67e5\u6570\u636e\u96c6\u662f\u5426\u670d\u4ece\u6b63\u6001\u5206\u5e03\u3002<\/span><\/p>\n

\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u751f\u6210\u4e00\u4e2a\u7531 100 \u4e2a\u968f\u673a\u503c\u7ec4\u6210\u7684\u670d\u4ece\u6b63\u6001\u5206\u5e03\u7684\u5411\u91cf\uff0c\u5e76\u4e3a\u8be5\u6570\u636e\u96c6\u521b\u5efa QQ \u56fe\u4ee5\u9a8c\u8bc1\u5b83\u786e\u5b9e\u670d\u4ece\u6b63\u6001\u5206\u5e03\uff1a<\/span><\/p>\n

 #make this example reproducible<\/span>\nset.seed(11)\n\n#generate vector of 100 values that follows a normal distribution<\/span>\ndata <- rnorm(100)\n\n#create QQ plot to compare this dataset to a theoretical normal distribution\n<\/span>qqnorm(data)<\/strong><\/pre>\n
\u4e3a\u4e86\u66f4\u5bb9\u6613\u5730\u67e5\u770b\u6570\u636e\u662f\u5426\u9075\u5faa\u76f4\u7ebf\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528qqline()<\/strong>\u51fd\u6570\uff1a<\/span><\/p>\n
 #create QQ plot<\/span>\nqqnorm(data)\n\n#add straight diagonal line to plot\n<\/span>qqline(data)<\/strong><\/pre>\n
<\/h2>\n
\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u5c3e\u90e8\u9644\u8fd1\u7684\u6570\u636e\u70b9\u5e76\u4e0d\u5b8c\u5168\u9075\u5faa\u76f4\u7ebf\uff0c\u4f46\u5728\u5927\u591a\u6570\u60c5\u51b5\u4e0b\uff0c\u8fd9\u4e9b\u6837\u672c\u6570\u636e\u4f3c\u4e4e\u5448\u6b63\u6001\u5206\u5e03\uff08\u56e0\u4e3a\u6211\u4eec\u8981\u6c42 R \u4ece\u6b63\u6001\u5206\u5e03\u751f\u6210\u6570\u636e\uff0c\u6240\u4ee5\u5b83\u4eec\u5e94\u8be5\u662f\u6b63\u6001\u5206\u5e03\u7684\uff09 \uff09\u3002 \uff09\u3002<\/span><\/p>\n
\u76f8\u53cd\uff0c\u8bf7\u8003\u8651\u4ee5\u4e0b\u4ee3\u7801\uff0c\u8be5\u4ee3\u7801\u751f\u6210\u4e00\u4e2a\u7531 100 \u4e2a\u968f\u673a\u503c\u7ec4\u6210\u7684\u5411\u91cf\uff0c\u8be5\u5411\u91cf\u9075\u5faa\u4f3d\u739b\u5206\u5e03\uff0c\u5e76\u4e3a\u6b64\u6570\u636e\u521b\u5efa QQ \u56fe\u4ee5\u68c0\u67e5\u5b83\u662f\u5426\u9075\u5faa\u6b63\u6001\u5206\u5e03\uff1a<\/span><\/p>\n
 #make this example reproducible\n<\/span>set.seed(11)\n\n#generate vector of 100 values that follows a gamma distribution\n<\/span>data <- rgamma(100, 1)\n\n#create QQ plot to compare this dataset to a theoretical normal distribution\n<\/span>qqnorm(data)\nqqline(data)<\/strong><\/pre>\n
\u6211\u4eec\u53ef\u4ee5\u5728\u8fd9\u4e2a QQ \u56fe\u4e2d\u770b\u5230\u4e0e\u76f4\u7ebf\u7684\u660e\u663e\u504f\u5dee\uff0c\u8868\u660e\u8be5\u6570\u636e\u96c6\u53ef\u80fd\u4e0d\u670d\u4ece\u6b63\u6001\u5206\u5e03\u3002<\/span><\/p>\n
\u8003\u8651\u53e6\u4e00\u6bb5\u4ee3\u7801\uff0c\u5b83\u751f\u6210\u4e00\u4e2a\u7531 100 \u4e2a\u968f\u673a\u503c\u7ec4\u6210\u7684\u5411\u91cf\uff0c\u8be5\u5411\u91cf\u9075\u5faa 5 \u4e2a\u81ea\u7531\u5ea6\u7684\u5361\u65b9\u5206\u5e03\uff0c\u5e76\u4e3a\u6b64\u6570\u636e\u521b\u5efa QQ \u56fe\u4ee5\u68c0\u67e5\u5b83\u662f\u5426\u9075\u5faa\u6b63\u6001\u5206\u5e03\uff1a<\/span><\/p>\n
 #make this example reproducible\n<\/span>set.seed(11)\n\n#generate vector of 100 values that follows a Chi-Square distribution\n<\/span>data <- rchisq(100, 5)\n\n#create QQ plot to compare this dataset to a theoretical normal distribution\n<\/span>qqnorm(data)\nqqline(data)<\/strong><\/pre>\n
\u6211\u4eec\u518d\u6b21\u770b\u5230\u8fd9\u4e2a\u6570\u636e\u96c6\u4f3c\u4e4e\u4e0d\u9075\u5faa\u6b63\u6001\u5206\u5e03\uff0c\u5c24\u5176\u662f\u5728\u5c3e\u90e8\u9644\u8fd1\u3002<\/span><\/p>\n
\u6539\u53d8 R \u4e2d QQ \u56fe\u7684\u7f8e\u89c2<\/strong><\/span><\/h2>\n
\u6211\u4eec\u53ef\u4ee5\u66f4\u6539 R \u4e2d QQ \u56fe\u7684\u4e00\u4e9b\u7f8e\u89c2\u6548\u679c\uff0c\u5305\u62ec\u6807\u9898\u3001\u8f74\u6807\u7b7e\u3001\u6570\u636e\u70b9\u989c\u8272\u3001\u7ebf\u6761\u989c\u8272\u548c\u7ebf\u6761\u5bbd\u5ea6\u3002<\/span><\/p>\n
\u4ee5\u4e0b\u4ee3\u7801\u66f4\u6539\u7ed8\u56fe\u70b9\u7684\u6807\u9898\u3001\u8f74\u6807\u7b7e\u548c\u989c\u8272\uff1a<\/span><\/p>\n
 #make this example reproducible\n<\/span>set.seed(11)\n\n#generate vector of 100 values that follows a normal distribution\n<\/span>data <- rnorm(100)\n\n#create QQ plot\n<\/span>qqnorm(data, main = 'QQ Plot for Normality', xlab = 'Theoretical Dist',\n       ylab = 'Sample dist', col = 'steelblue')<\/strong><\/pre>\n
\u7136\u540e\uff0c\u4ee5\u4e0b\u4ee3\u7801\u5411\u7ed8\u56fe\u6dfb\u52a0\u4e00\u6761\u7ea2\u8272\u7684\u76f4\u7ebf\u5bf9\u89d2\u7ebf\uff0c\u7ebf\u5bbd\u4e3a 2\uff08lwd = 2\uff0c\u9ed8\u8ba4\u4e3a 1\uff09\uff0c\u4ee5\u53ca\u4e00\u6761\u865a\u7ebf\uff08lty = 2\uff0c\u9ed8\u8ba4\u4e3a 1\uff09\uff1a<\/span><\/p>\n
 qqline(data, col = 'red', lwd = 2, lty = 2)<\/strong><\/pre>\n
\u6280\u672f\u8bf4\u660e<\/strong><\/span><\/h2>\n
\u8bf7\u8bb0\u4f4f\uff0cQQ \u56fe\u53ea\u662f\u4e00\u79cd\u76f4\u89c2<\/em>\u68c0\u67e5\u6570\u636e\u96c6\u662f\u5426\u9075\u5faa\u7406\u8bba\u5206\u5e03\u7684\u65b9\u6cd5\u3002\u8981\u6b63\u5f0f\u6d4b\u8bd5\u6570\u636e\u96c6\u662f\u5426\u9075\u5faa\u7279\u5b9a\u5206\u5e03\uff0c\u53ef\u4ee5\u6267\u884c\u4ee5\u4e0b\u6d4b\u8bd5\uff08\u5047\u8bbe\u60a8\u5c06\u6570\u636e\u96c6\u4e0e\u6b63\u6001\u5206\u5e03\u8fdb\u884c\u6bd4\u8f83\uff09\uff1a<\/span><\/p>\n
 \u5b89\u5fb7\u68ee-\u8fbe\u6797\u6d4b\u8bd5<\/a>
\u590f\u76ae\u7f57-\u5a01\u5c14\u514b\u68c0\u9a8c<\/a>
\u67ef\u5c14\u83ab\u54e5\u6d1b\u592b-\u65af\u7c73\u5c14\u8bfa\u592b\u68c0\u9a8c<\/a>
<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"
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