{"id":4178,"date":"2023-07-13T02:10:38","date_gmt":"2023-07-13T02:10:38","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e6%b3%a2%e5%a3%ab%e9%a1%bf-r-%e6%95%b0%e6%8d%ae%e9%9b%86\/"},"modified":"2023-07-13T02:10:38","modified_gmt":"2023-07-13T02:10:38","slug":"%e6%b3%a2%e5%a3%ab%e9%a1%bf-r-%e6%95%b0%e6%8d%ae%e9%9b%86","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e6%b3%a2%e5%a3%ab%e9%a1%bf-r-%e6%95%b0%e6%8d%ae%e9%9b%86\/","title":{"rendered":"R \u4e2d\u6ce2\u58eb\u987f\u6570\u636e\u96c6\u7684\u5b8c\u6574\u6307\u5357"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">R \u4e2d<strong>MASS<\/strong>\u5305\u4e2d\u7684<b>\u6ce2\u58eb\u987f<\/b>\u6570\u636e\u96c6\u5305\u542b\u6709\u5173\u9a6c\u8428\u8bf8\u585e\u5dde\u6ce2\u58eb\u987f\u90ca\u533a\u7684\u5404\u79cd\u5c5e\u6027\u7684\u4fe1\u606f\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u5728 R \u4e2d\u63a2\u7d22\u3001\u603b\u7ed3\u548c\u53ef\u89c6\u5316<b>\u6ce2\u58eb\u987f<\/b>\u6570\u636e\u96c6\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u52a0\u8f7d\u6ce2\u58eb\u987f\u6570\u636e\u96c6<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u5728\u67e5\u770b<strong>Boston<\/strong>\u6570\u636e\u96c6\u4e4b\u524d\uff0c\u6211\u4eec\u5fc5\u987b\u9996\u5148\u52a0\u8f7d<strong>MASS<\/strong>\u5305\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">library<\/span> (MASS)<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u7136\u540e\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<strong>head()<\/strong>\u51fd\u6570\u663e\u793a\u6570\u636e\u96c6\u7684\u524d\u516d\u884c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#view first six rows of Boston dataset<\/span>\nhead(Boston)\n\n     crim zn indus chas nox rm age dis rad tax ptratio black lstat\n1 0.00632 18 2.31 0 0.538 6.575 65.2 4.0900 1 296 15.3 396.90 4.98\n2 0.02731 0 7.07 0 0.469 6.421 78.9 4.9671 2 242 17.8 396.90 9.14\n3 0.02729 0 7.07 0 0.469 7.185 61.1 4.9671 2 242 17.8 392.83 4.03\n4 0.03237 0 2.18 0 0.458 6.998 45.8 6.0622 3 222 18.7 394.63 2.94\n5 0.06905 0 2.18 0 0.458 7.147 54.2 6.0622 3 222 18.7 396.90 5.33\n6 0.02985 0 2.18 0 0.458 6.430 58.7 6.0622 3 222 18.7 394.12 5.21\n  medv\n1 24.0\n2 21.6\n3 34.7\n4 33.4\n5 36.2\n6 28.7\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u8981\u663e\u793a\u6570\u636e\u96c6\u4e2d\u6bcf\u4e2a\u53d8\u91cf\u7684\u63cf\u8ff0\uff0c\u6211\u4eec\u53ef\u4ee5\u8f93\u5165\u4ee5\u4e0b\u5185\u5bb9\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#view description of each variable in dataset<\/span>\n?Boston\n\n     This data frame contains the following columns:\n\n     'crime' per capita crime rate by town.\n\n     'zn' proportion of residential land zoned for lots over 25,000\n          sq.ft.\n\n     'industrial' proportion of non-retail business acres per town.\n\n     'chas' Charles River dummy variable (= 1 if tract bounds river; 0\n          otherwise).\n\n     'nox' nitrogen oxides concentration (parts per 10 million).\n\n     'rm' average number of rooms per dwelling.\n\n     'age' proportion of owner-occupied units built prior to 1940.\n\n     'dis' weighted mean of distances to five Boston employment\n          centers.\n\n     'rad' index of accessibility to radial highways.\n\n     'tax' full-value property-tax rate per $10,000.\n\n     'ptratio' pupil-teacher ratio by town.\n\n     'black' 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by\n          town.\n\n     'lstat' lower status of the population (percent).\n\n     'medv' median value of owner-occupied homes in $1000s.\n<\/strong><\/span><\/pre>\n<h2><span style=\"color: #000000;\"><strong>\u603b\u7ed3\u6ce2\u58eb\u987f\u6570\u636e\u96c6<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<strong>summary()<\/strong>\u51fd\u6570\u5feb\u901f\u603b\u7ed3\u6570\u636e\u96c6\u4e2d\u7684\u6bcf\u4e2a\u53d8\u91cf\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#summarize Boston dataset<\/span>\nsummary(Boston)\n\n      crim zn indus chas        \n Min. : 0.00632 Min. : 0.00 Min. : 0.46 Min. :0.00000  \n 1st Q: 0.08205 1st Q: 0.00 1st Q: 5.19 1st Q: 0.00000  \n Median: 0.25651 Median: 0.00 Median: 9.69 Median: 0.00000  \n Mean: 3.61352 Mean: 11.36 Mean: 11.14 Mean: 0.06917  \n 3rd Qu.: 3.67708 3rd Qu.: 12.50 3rd Qu.: 18.10 3rd Qu.: 0.00000  \n Max. :88.97620 Max. :100.00 Max. :27.74 Max. :1.00000  \n      nox rm age dis        \n Min. :0.3850 Min. :3.561 Min. : 2.90 Min. : 1,130  \n 1st Qu.: 0.4490 1st Qu.: 5.886 1st Qu.: 45.02 1st Qu.: 2.100  \n Median: 0.5380 Median: 6.208 Median: 77.50 Median: 3.207  \n Mean: 0.5547 Mean: 6.285 Mean: 68.57 Mean: 3.795  \n 3rd Qu.: 0.6240 3rd Qu.: 6.623 3rd Qu.: 94.08 3rd Qu.: 5.188  \n Max. :0.8710 Max. :8,780 Max. :100.00 Max. :12,127  \n      rad tax ptratio black       \n Min. : 1,000 Min. :187.0 Min. :12.60 Min. : 0.32  \n 1st Qu.: 4,000 1st Qu.:279.0 1st Qu.:17.40 1st Qu.:375.38  \n Median: 5,000 Median: 330.0 Median: 19.05 Median: 391.44  \n Mean: 9.549 Mean: 408.2 Mean: 18.46 Mean: 356.67  \n 3rd Qu.:24,000 3rd Qu.:666.0 3rd Qu.:20.20 3rd Qu.:396.23  \n Max. :24,000 Max. :711.0 Max. :22.00 Max. :396.90  \n     lstat medv      \n Min. : 1.73 Min. : 5.00  \n 1st Q: 6.95 1st Q: 17.02  \n Median: 11.36 Median: 21.20  \n Mean:12.65 Mean:22.53  \n 3rd Qu.:16.95 3rd Qu.:25.00  \n Max. :37.97 Max. :50.00<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u5bf9\u4e8e\u6bcf\u4e2a\u6570\u503c\u53d8\u91cf\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u4ee5\u4e0b\u4fe1\u606f\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\"><strong>\u6700\u5c0f\u503c<\/strong>\uff1a\u6700\u5c0f\u503c\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u7b2c\u4e00\u4e2a Qu<\/strong> \uff1a\u7b2c\u4e00\u4e2a\u56db\u5206\u4f4d\u6570\uff08\u7b2c 25 \u4e2a\u767e\u5206\u4f4d\u6570\uff09\u7684\u503c\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u4e2d\u4f4d\u6570<\/strong>\uff1a\u4e2d\u503c\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u5e73\u5747\u503c<\/strong>\uff1a\u5e73\u5747\u503c\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u7b2c\u4e09\u66f2<\/strong>\uff1a\u7b2c\u4e09\u4e2a\u56db\u5206\u4f4d\u6570\uff08\u7b2c 75 \u4e2a\u767e\u5206\u4f4d\u6570\uff09\u7684\u503c\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u6700\u5927\u503c<\/strong>\uff1a\u6700\u5927\u503c\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<strong>dim()<\/strong>\u51fd\u6570\u83b7\u53d6\u6570\u636e\u96c6\u7684\u884c\u6570\u548c\u5217\u6570\u7ef4\u5ea6\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#display rows and columns<\/span>\nsun(Boston)\n\n[1] 506 14\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u6570\u636e\u96c6\u6709<b>506<\/b>\u884c\u548c<strong>14<\/strong>\u5217\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u53ef\u89c6\u5316\u6ce2\u58eb\u987f\u6570\u636e\u96c6<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u8fd8\u53ef\u4ee5\u521b\u5efa\u7ed8\u56fe\u6765\u53ef\u89c6\u5316\u6570\u636e\u96c6\u7684\u503c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<strong>hist()<\/strong>\u51fd\u6570\u521b\u5efa\u67d0\u4e2a\u53d8\u91cf\u503c\u7684\u76f4\u65b9\u56fe\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#create histogram of values for 'rm' column<\/span>\nhist(Boston$rm,\n     col=' <span style=\"color: #ff0000;\">steelblue<\/span> ',\n     main=' <span style=\"color: #ff0000;\">Histogram of Rooms per Dwelling<\/span> ',\n     xlab=' <span style=\"color: #ff0000;\">Rooms<\/span> ',\n     ylab=' <span style=\"color: #ff0000;\">Frequency<\/span> ')\n<\/strong><\/span><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-33091 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/boston1.png\" alt=\"\" width=\"492\" height=\"486\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528<strong>plot()<\/strong>\u51fd\u6570\u521b\u5efa\u4efb\u610f\u53d8\u91cf\u6210\u5bf9\u7ec4\u5408\u7684\u6563\u70b9\u56fe\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#create scatterplot of median home value vs crime rate\n<\/span><span style=\"color: #000000;\">plot(Boston$medv, Boston$crime,<\/span>\n     col=' <span style=\"color: #ff0000;\">steelblue<\/span> ',\n     main=' <span style=\"color: #ff0000;\">Median Home Value vs. Crime Rate<\/span> ',\n     xlab=' <span style=\"color: #ff0000;\">Median Home Value<\/span> ',\n     ylab=' <span style=\"color: #ff0000;\">Crime Rate<\/span> ',\n     pch= <span style=\"color: #008000;\">19<\/span> )<\/strong><\/span> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-33092 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/boston2.png\" alt=\"\" width=\"500\" height=\"474\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u7c7b\u4f3c\u7684\u6563\u70b9\u56fe\u6765\u53ef\u89c6\u5316\u6570\u636e\u96c6\u4e2d\u4efb\u610f\u4e24\u4e2a\u53d8\u91cf\u4e4b\u95f4\u7684\u5173\u7cfb\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\u63d0\u4f9b\u4e86 R \u4e2d\u5176\u4ed6\u6d41\u884c\u6570\u636e\u96c6\u7684\u7efc\u5408\u6307\u5357\uff1a<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/cn\/\u8679\u819c-r-\u6570\u636e\u96c6\/\" target=\"_blank\" rel=\"noopener\">R \u4e2d Iris \u6570\u636e\u96c6\u7684\u5b8c\u6574\u6307\u5357<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/mtcars-r-\u6570\u636e\u96c6\/\" target=\"_blank\" rel=\"noopener\">R \u4e2d mtcars \u6570\u636e\u96c6\u7684\u5b8c\u6574\u6307\u5357<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/r-\u94bb\u77f3\u6570\u636e\u96c6\/\" target=\"_blank\" rel=\"noopener\">R \u4e2d\u94bb\u77f3\u6570\u636e\u96c6\u7684\u5b8c\u6574\u6307\u5357<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>R \u4e2dMASS\u5305\u4e2d\u7684\u6ce2\u58eb\u987f\u6570\u636e\u96c6\u5305\u542b\u6709\u5173\u9a6c\u8428\u8bf8\u585e\u5dde\u6ce2\u58eb\u987f\u90ca\u533a\u7684\u5404\u79cd\u5c5e\u6027\u7684\u4fe1\u606f\u3002 \u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u5728 R \u4e2d\u63a2\u7d22\u3001 [&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-4178","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>R \u4e2d\u6ce2\u58eb\u987f\u6570\u636e\u96c6\u7684\u5b8c\u6574\u6307\u5357 - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u63d0\u4f9b\u4e86 R \u4e2d Boston \u6570\u636e\u96c6\u7684\u5b8c\u6574\u6307\u5357\uff0c\u5305\u62ec\u6709\u5173\u5982\u4f55\u5206\u6790\u6570\u636e\u96c6\u7684\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\/\u6ce2\u58eb\u987f-r-\u6570\u636e\u96c6\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"R \u4e2d\u6ce2\u58eb\u987f\u6570\u636e\u96c6\u7684\u5b8c\u6574\u6307\u5357 - Statorials\" \/>\n<meta property=\"og:description\" content=\"\u672c\u6559\u7a0b\u63d0\u4f9b\u4e86 R \u4e2d Boston 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