{"id":1993,"date":"2023-07-24T04:18:55","date_gmt":"2023-07-24T04:18:55","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e9%87%8d%e5%91%bd%e5%90%8d-r-%e5%9b%a0%e5%ad%90%e6%b0%b4%e5%b9%b3\/"},"modified":"2023-07-24T04:18:55","modified_gmt":"2023-07-24T04:18:55","slug":"%e9%87%8d%e5%91%bd%e5%90%8d-r-%e5%9b%a0%e5%ad%90%e6%b0%b4%e5%b9%b3","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e9%87%8d%e5%91%bd%e5%90%8d-r-%e5%9b%a0%e5%ad%90%e6%b0%b4%e5%b9%b3\/","title":{"rendered":"\u5982\u4f55\u5728 r \u4e2d\u91cd\u547d\u540d\u56e0\u5b50\u6c34\u5e73\uff08\u9644\u793a\u4f8b\uff09"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528\u4e24\u79cd\u65b9\u6cd5\u6765\u91cd\u547d\u540d R \u4e2d\u7684\u56e0\u5b50\u6c34\u5e73\uff1a<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd51\uff1a\u4f7f\u7528Base Rlevels()<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>levels(df$col_name) &lt;- c(' <span style=\"color: #ff0000;\">new_name1<\/span> ', ' <span style=\"color: #ff0000;\">new_name2<\/span> ', ' <span style=\"color: #ff0000;\">new_name3<\/span> ')<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 2\uff1a\u4f7f\u7528 dplyr \u5305\u4e2d\u7684 recode()<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><span style=\"color: #000000;\"><b><span style=\"color: #993300;\">library<\/span> (dplyr)\n\ndata$col_name &lt;- recode(data$col_name, name1 = ' <span style=\"color: #ff0000;\">new_name1<\/span> ', \n                                       name2 = ' <span style=\"color: #ff0000;\">new_name2<\/span> ',\n                                       name3 = ' <span style=\"color: #ff0000;\">new_name3<\/span> ')<\/b><\/span><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6bcf\u79cd\u65b9\u6cd5\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u65b9\u6cd51\uff1a\u4f7f\u7528levels()\u51fd\u6570<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u5728 R \u4e2d\u6709\u4ee5\u4e0b\u6570\u636e\u6846\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame<\/span>\ndf &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (conf = factor(c('North', 'East', 'South', 'West')),\n                 points = c(34, 55, 41, 28))\n\n<span style=\"color: #008080;\">#view data frame<\/span>\ndf\n\n   conf points\n1 North 34\n2 East 55\n3 South 41\n4 West 28\n\n<span style=\"color: #008080;\">#view levels of 'conf' variable<\/span>\nlevels(df$conf)\n\n[1] \u201cEast\u201d \u201cNorth\u201d \u201cSouth\u201d \u201cWest\u201d<\/strong>\n<\/pre>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u663e\u793a\u5982\u4f55\u4f7f\u7528<strong>levels()\u51fd\u6570<\/strong>\u6309\u540d\u79f0\u91cd\u547d\u540d\u56e0\u5b50\u7ea7\u522b\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#rename just 'North' factor level<\/span>\nlevels(df$conf)[levels(df$conf)==' <span style=\"color: #ff0000;\">North<\/span> '] &lt;- ' <span style=\"color: #ff0000;\">N<\/span> '\n\n<span style=\"color: #008080;\">#view levels of 'conf' variable<\/span>\nlevels(df$conf)\n\n[1] \u201cEast\u201d \u201cN\u201d \u201cSouth\u201d \u201cWest\u201d<\/strong>\n<\/pre>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u663e\u793a\u4e86\u5982\u4f55\u91cd\u547d\u540d\u6bcf\u4e2a\u56e0\u5b50\u7ea7\u522b\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#rename every factor level<\/span>\nlevels(df$conf) &lt;- c(' <span style=\"color: #ff0000;\">N<\/span> ', ' <span style=\"color: #ff0000;\">E<\/span> ', ' <span style=\"color: #ff0000;\">S<\/span> ', ' <span style=\"color: #ff0000;\">W<\/span> ')\n\n<span style=\"color: #008080;\">#view levels of 'conf' variable<\/span>\nlevels(df$conf)\n\n[1] \u201cN\u201d \u201cE\u201d \u201cS\u201d \u201cW\u201d<\/strong>\n<\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 2\uff1a\u4f7f\u7528 recode() \u51fd\u6570<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528 dplyr \u5305\u7684<strong>recode()<\/strong>\u51fd\u6570\u91cd\u547d\u540d\u56e0\u5b50\u7ea7\u522b\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #993300;\">library<\/span> (dplyr)<\/span>\n\n#create data frame<\/span>\ndf &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (conf = factor(c('North', 'East', 'South', 'West')),\n                 points = c(34, 55, 41, 28))\n\n<span style=\"color: #008080;\">#recode factor levels\n<\/span>df$conf &lt;- recode(df$conf, North = ' <span style=\"color: #ff0000;\">N<\/span> ',\n                           East = ' <span style=\"color: #ff0000;\">E<\/span> ',\n                           South = ' <span style=\"color: #ff0000;\">S<\/span> ',\n                           West = ' <span style=\"color: #ff0000;\">W<\/span> ')\n\nlevels(df$conf)\n\n[1] \u201cE\u201d \u201cN\u201d \u201cS\u201d \u201cW\u201d\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u6ce8\u610f<\/strong>\uff1a\u60a8\u53ef\u4ee5<a href=\"https:\/\/dplyr.tidyverse.org\/reference\/recode.html\" target=\"_blank\" rel=\"noopener\">\u5728\u6b64\u5904<\/a>\u627e\u5230 recode() \u51fd\u6570\u7684\u5b8c\u6574\u6587\u6863\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/cn\/r-\u4e2d\u7684\u6570\u503c\u56e0\u5b50\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 R \u4e2d\u5c06\u56e0\u5b50\u8f6c\u6362\u4e3a\u6570\u5b57<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u5c06\u5b57\u7b26\u56e0\u5b50\u8f6c\u6362\u4e3a-r\/\" target=\"_blank\" rel=\"noopener\">R\u4e2d\u5982\u4f55\u5c06\u56e0\u5b50\u8f6c\u6362\u4e3a\u5b57\u7b26<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u91cd\u65b0\u6392\u5217-r-\u4e2d\u7684\u56e0\u5b50\u6c34\u5e73\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 R \u4e2d\u91cd\u65b0\u6392\u5217\u56e0\u5b50\u6c34\u5e73<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u60a8\u53ef\u4ee5\u4f7f\u7528\u4e24\u79cd\u65b9\u6cd5\u6765\u91cd\u547d\u540d R \u4e2d\u7684\u56e0\u5b50\u6c34\u5e73\uff1a \u65b9\u6cd51\uff1a\u4f7f\u7528Base Rlevels() levels(df$ [&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-1993","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\u91cd\u547d\u540d\u56e0\u5b50\u6c34\u5e73\uff08\u5e26\u6709\u793a\u4f8b\uff09- Statory<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u51e0\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 R \u4e2d\u91cd\u547d\u540d\u56e0\u5b50\u7ea7\u522b\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\/\u91cd\u547d\u540d-r-\u56e0\u5b50\u6c34\u5e73\/\" 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