{"id":1081,"date":"2023-07-27T17:45:27","date_gmt":"2023-07-27T17:45:27","guid":{"rendered":"https:\/\/statorials.org\/th\/%e0%b8%a5%e0%b8%9a%e0%b8%84%e0%b9%88%e0%b8%b2%e0%b8%9c%e0%b8%b4%e0%b8%94%e0%b8%9b%e0%b8%81%e0%b8%95%e0%b8%b4%e0%b8%ad%e0%b8%ad%e0%b8%81%e0%b8%88%e0%b8%b2%e0%b8%81%e0%b8%ab%e0%b8%a5%e0%b8%b2%e0%b8%a2\/"},"modified":"2023-07-27T17:45:27","modified_gmt":"2023-07-27T17:45:27","slug":"%e0%b8%a5%e0%b8%9a%e0%b8%84%e0%b9%88%e0%b8%b2%e0%b8%9c%e0%b8%b4%e0%b8%94%e0%b8%9b%e0%b8%81%e0%b8%95%e0%b8%b4%e0%b8%ad%e0%b8%ad%e0%b8%81%e0%b8%88%e0%b8%b2%e0%b8%81%e0%b8%ab%e0%b8%a5%e0%b8%b2%e0%b8%a2","status":"publish","type":"post","link":"https:\/\/statorials.org\/th\/%e0%b8%a5%e0%b8%9a%e0%b8%84%e0%b9%88%e0%b8%b2%e0%b8%9c%e0%b8%b4%e0%b8%94%e0%b8%9b%e0%b8%81%e0%b8%95%e0%b8%b4%e0%b8%ad%e0%b8%ad%e0%b8%81%e0%b8%88%e0%b8%b2%e0%b8%81%e0%b8%ab%e0%b8%a5%e0%b8%b2%e0%b8%a2\/","title":{"rendered":"\u0e27\u0e34\u0e18\u0e35\u0e25\u0e1a\u0e04\u0e48\u0e32\u0e1c\u0e34\u0e14\u0e1b\u0e01\u0e15\u0e34\u0e2d\u0e2d\u0e01\u0e08\u0e32\u0e01\u0e2b\u0e25\u0e32\u0e22\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e43\u0e19 r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0e1a\u0e48\u0e2d\u0e22\u0e04\u0e23\u0e31\u0e49\u0e07\u0e17\u0e35\u0e48\u0e04\u0e38\u0e13\u0e2d\u0e32\u0e08\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e25\u0e1a\u0e04\u0e48\u0e32\u0e1c\u0e34\u0e14\u0e1b\u0e01\u0e15\u0e34\u0e2d\u0e2d\u0e01\u0e08\u0e32\u0e01\u0e2b\u0e25\u0e32\u0e22\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e01\u0e31\u0e19\u0e43\u0e19 R<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0e27\u0e34\u0e18\u0e35\u0e17\u0e31\u0e48\u0e27\u0e44\u0e1b\u0e43\u0e19\u0e01\u0e32\u0e23\u0e19\u0e34\u0e22\u0e32\u0e21\u0e01\u0e32\u0e23\u0e2a\u0e31\u0e07\u0e40\u0e01\u0e15\u0e27\u0e48\u0e32\u0e40\u0e1b\u0e47\u0e19\u0e04\u0e48\u0e32\u0e1c\u0e34\u0e14\u0e1b\u0e01\u0e15\u0e34\u0e04\u0e37\u0e2d \u0e21\u0e35\u0e04\u0e48\u0e32\u0e40\u0e1b\u0e47\u0e19 1.5 \u0e40\u0e17\u0e48\u0e32\u0e02\u0e2d\u0e07\u0e1e\u0e34\u0e2a\u0e31\u0e22\u0e23\u0e30\u0e2b\u0e27\u0e48\u0e32\u0e07\u0e04\u0e27\u0e2d\u0e23\u0e4c\u0e44\u0e17\u0e25\u0e4c\u0e40\u0e2b\u0e19\u0e37\u0e2d\u0e04\u0e27\u0e2d\u0e44\u0e17\u0e25\u0e4c\u0e17\u0e35\u0e48 3 (Q3) \u0e2b\u0e23\u0e37\u0e2d 1.5 \u0e40\u0e17\u0e48\u0e32\u0e02\u0e2d\u0e07\u0e1e\u0e34\u0e2a\u0e31\u0e22\u0e23\u0e30\u0e2b\u0e27\u0e48\u0e32\u0e07\u0e04\u0e27\u0e2d\u0e44\u0e17\u0e25\u0e4c\u0e17\u0e35\u0e48\u0e15\u0e48\u0e33\u0e01\u0e27\u0e48\u0e32\u0e04\u0e27\u0e2d\u0e23\u0e4c\u0e44\u0e17\u0e25\u0e4c\u0e17\u0e35\u0e48 1 (Q1)<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0e40\u0e21\u0e37\u0e48\u0e2d\u0e43\u0e0a\u0e49\u0e04\u0e33\u0e08\u0e33\u0e01\u0e31\u0e14\u0e04\u0e27\u0e32\u0e21\u0e19\u0e35\u0e49 \u0e40\u0e23\u0e32\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49\u0e02\u0e31\u0e49\u0e19\u0e15\u0e2d\u0e19\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19\u0e07\u0e48\u0e32\u0e22\u0e46 \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e23\u0e30\u0e1a\u0e38\u0e04\u0e48\u0e32\u0e1c\u0e34\u0e14\u0e1b\u0e01\u0e15\u0e34 \u0e08\u0e32\u0e01\u0e19\u0e31\u0e49\u0e19\u0e43\u0e0a\u0e49\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19\u0e19\u0e35\u0e49\u0e01\u0e31\u0e1a\u0e2b\u0e25\u0e32\u0e22\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e43\u0e19\u0e01\u0e23\u0e2d\u0e1a\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25 R<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u0e02\u0e31\u0e49\u0e19\u0e15\u0e2d\u0e19\u0e17\u0e35\u0e48 1: \u0e2a\u0e23\u0e49\u0e32\u0e07\u0e01\u0e23\u0e2d\u0e1a\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0e40\u0e23\u0e34\u0e48\u0e21\u0e15\u0e49\u0e19\u0e14\u0e49\u0e27\u0e22\u0e01\u0e32\u0e23\u0e2a\u0e23\u0e49\u0e32\u0e07 data frame \u0e43\u0e19 R:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df &lt;- data.frame(index=c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10),\n                 var1=c(4, 4, 5, 4, 3, 2, 8, 9, 4, 5),\n                 var2=c(1, 2, 4, 4, 6, 9, 7, 8, 5, 29),\n                 var3=c(9, 9, 9, 5, 5, 3, 4, 5, 11, 34))\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0e02\u0e31\u0e49\u0e19\u0e15\u0e2d\u0e19\u0e17\u0e35\u0e48 2: \u0e01\u0e33\u0e2b\u0e19\u0e14\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19\u0e04\u0e48\u0e32\u0e1c\u0e34\u0e14\u0e1b\u0e01\u0e15\u0e34<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0e15\u0e48\u0e2d\u0e44\u0e1b \u0e40\u0e23\u0e32\u0e21\u0e32\u0e01\u0e33\u0e2b\u0e19\u0e14\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19\u0e17\u0e35\u0e48\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e23\u0e30\u0e1a\u0e38\u0e04\u0e48\u0e32\u0e1c\u0e34\u0e14\u0e1b\u0e01\u0e15\u0e34\u0e41\u0e25\u0e30\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19\u0e17\u0e35\u0e48\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e25\u0e1a\u0e04\u0e48\u0e32\u0e1c\u0e34\u0e14\u0e1b\u0e01\u0e15\u0e34\u0e44\u0e14\u0e49:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>outliers &lt;- <span style=\"color: #008000;\">function<\/span> (x) {\n\n  Q1 &lt;- quantile(x, <span style=\"color: #3366ff;\">probs<\/span> =.25)\n  Q3 &lt;- quantile(x, <span style=\"color: #3366ff;\">probs<\/span> =.75)\n  iqr = Q3-Q1\n\n upper_limit = Q3 + (iqr*1.5)\n lower_limit = Q1 - (iqr*1.5)\n\n x &gt; upper_limit | x &lt; lower_limit\n}\n\nremove_outliers &lt;- <span style=\"color: #008000;\">function<\/span> (df, cols = <span style=\"color: #3366ff;\">names<\/span> (df)) {\n  for (col <span style=\"color: #008000;\">in<\/span> cols) {\n    df &lt;- df[!outliers(df[[col]]),]\n  }\n  df\n}<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0e02\u0e31\u0e49\u0e19\u0e15\u0e2d\u0e19\u0e17\u0e35\u0e48 3: \u0e43\u0e0a\u0e49\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19\u0e04\u0e48\u0e32\u0e1c\u0e34\u0e14\u0e1b\u0e01\u0e15\u0e34\u0e01\u0e31\u0e1a\u0e01\u0e23\u0e2d\u0e1a\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0e2a\u0e38\u0e14\u0e17\u0e49\u0e32\u0e22\u0e19\u0e35\u0e49 \u0e25\u0e2d\u0e07\u0e43\u0e0a\u0e49\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19\u0e19\u0e35\u0e49\u0e01\u0e31\u0e1a\u0e2b\u0e25\u0e32\u0e22\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e02\u0e2d\u0e07\u0e01\u0e23\u0e2d\u0e1a\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e25\u0e1a\u0e04\u0e48\u0e32\u0e1c\u0e34\u0e14\u0e1b\u0e01\u0e15\u0e34:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>remove_outliers(df, c('var1', 'var2', 'var3'))\n\n  index var1 var2 var3\n1 1 4 1 9\n2 2 4 2 9\n3 3 5 4 9\n4 4 4 4 5\n5 5 3 6 5\n9 9 4 5 11\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><em>\u0e04\u0e38\u0e13\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e04\u0e49\u0e19\u0e2b\u0e32\u0e1a\u0e17\u0e0a\u0e48\u0e27\u0e22\u0e2a\u0e2d\u0e19 R \u0e40\u0e1e\u0e34\u0e48\u0e21\u0e40\u0e15\u0e34\u0e21\u0e44\u0e14\u0e49 <a href=\"https:\/\/statorials.org\" target=\"_blank\" rel=\"noopener noreferrer\">\u0e17\u0e35\u0e48\u0e19\u0e35\u0e48<\/a><\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0e1a\u0e48\u0e2d\u0e22\u0e04\u0e23\u0e31\u0e49\u0e07\u0e17\u0e35\u0e48\u0e04\u0e38\u0e13\u0e2d\u0e32\u0e08\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e25\u0e1a\u0e04\u0e48\u0e32\u0e1c\u0e34\u0e14\u0e1b\u0e01\u0e15\u0e34\u0e2d\u0e2d\u0e01\u0e08\u0e32\u0e01\u0e2b\u0e25\u0e32\u0e22\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e1e [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-1081","post","type-post","status-publish","format-standard","hentry","category-3"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u0e27\u0e34\u0e18\u0e35\u0e25\u0e1a\u0e04\u0e48\u0e32\u0e1c\u0e34\u0e14\u0e1b\u0e01\u0e15\u0e34\u0e2d\u0e2d\u0e01\u0e08\u0e32\u0e01\u0e2b\u0e25\u0e32\u0e22\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e43\u0e19 R<\/title>\n<meta name=\"description\" content=\"\u0e04\u0e33\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e07\u0e48\u0e32\u0e22\u0e46 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