{"id":1863,"date":"2023-07-24T16:25:56","date_gmt":"2023-07-24T16:25:56","guid":{"rendered":"https:\/\/statorials.org\/uk\/r-%d0%b7%d0%b0%d1%81%d1%82%d0%be%d1%81%d1%83%d0%b2%d0%b0%d1%82%d0%b8-%d1%84%d1%83%d0%bd%d0%ba%d1%86%d1%96%d1%8e-%d0%b4%d0%be-%d0%ba%d0%be%d0%b6%d0%bd%d0%be%d0%b3%d0%be-%d1%80%d1%8f%d0%b4%d0%ba%d0%b0\/"},"modified":"2023-07-24T16:25:56","modified_gmt":"2023-07-24T16:25:56","slug":"r-%d0%b7%d0%b0%d1%81%d1%82%d0%be%d1%81%d1%83%d0%b2%d0%b0%d1%82%d0%b8-%d1%84%d1%83%d0%bd%d0%ba%d1%86%d1%96%d1%8e-%d0%b4%d0%be-%d0%ba%d0%be%d0%b6%d0%bd%d0%be%d0%b3%d0%be-%d1%80%d1%8f%d0%b4%d0%ba%d0%b0","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/r-%d0%b7%d0%b0%d1%81%d1%82%d0%be%d1%81%d1%83%d0%b2%d0%b0%d1%82%d0%b8-%d1%84%d1%83%d0%bd%d0%ba%d1%86%d1%96%d1%8e-%d0%b4%d0%be-%d0%ba%d0%be%d0%b6%d0%bd%d0%be%d0%b3%d0%be-%d1%80%d1%8f%d0%b4%d0%ba%d0%b0\/","title":{"rendered":"\u042f\u043a \u0437\u0430\u0441\u0442\u043e\u0441\u0443\u0432\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e \u0434\u043e \u043a\u043e\u0436\u043d\u043e\u0433\u043e \u0440\u044f\u0434\u043a\u0430 \u043c\u0430\u0442\u0440\u0438\u0446\u0456 \u0430\u0431\u043e \u043a\u0430\u0434\u0440\u0443 \u0434\u0430\u043d\u0438\u0445 \u0443 r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e <strong>apply()<\/strong> , \u0449\u043e\u0431 \u0437\u0430\u0441\u0442\u043e\u0441\u0443\u0432\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e \u0434\u043e \u043a\u043e\u0436\u043d\u043e\u0433\u043e \u0440\u044f\u0434\u043a\u0430 \u043c\u0430\u0442\u0440\u0438\u0446\u0456 \u0430\u0431\u043e \u043a\u0430\u0434\u0440\u0443 \u0434\u0430\u043d\u0438\u0445 \u0443 R.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0426\u044f \u0444\u0443\u043d\u043a\u0446\u0456\u044f \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0454 \u0442\u0430\u043a\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u0437\u0430\u0441\u0442\u043e\u0441\u0443\u0432\u0430\u0442\u0438 (X, MARGIN, FUN)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0437\u043e\u043b\u043e\u0442\u043e:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>X:<\/strong> \u041d\u0430\u0437\u0432\u0430 \u043c\u0430\u0442\u0440\u0438\u0446\u0456 \u0430\u0431\u043e \u0431\u043b\u043e\u043a\u0443 \u0434\u0430\u043d\u0438\u0445.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>MARGIN:<\/strong> \u0420\u043e\u0437\u043c\u0456\u0440, \u043d\u0430 \u044f\u043a\u043e\u043c\u0443 \u0432\u0438\u043a\u043e\u043d\u0443\u0454\u0442\u044c\u0441\u044f \u043e\u043f\u0435\u0440\u0430\u0446\u0456\u044f. \u0412\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 1 \u0434\u043b\u044f \u0440\u044f\u0434\u043a\u0430, 2 \u0434\u043b\u044f \u0441\u0442\u043e\u0432\u043f\u0446\u044f.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>FUN:<\/strong> \u0444\u0443\u043d\u043a\u0446\u0456\u044f \u0434\u043b\u044f \u0437\u0430\u0441\u0442\u043e\u0441\u0443\u0432\u0430\u043d\u043d\u044f.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0456 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0438 \u043f\u043e\u043a\u0430\u0437\u0443\u044e\u0442\u044c, \u044f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0446\u0435\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456.<\/span><\/p>\n<h3> <strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 1: \u0437\u0430\u0441\u0442\u043e\u0441\u0443\u0432\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e \u0434\u043e \u043a\u043e\u0436\u043d\u043e\u0433\u043e \u0440\u044f\u0434\u043a\u0430 \u043c\u0430\u0442\u0440\u0438\u0446\u0456<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">\u041f\u0440\u0438\u043f\u0443\u0441\u0442\u0438\u043c\u043e, \u0449\u043e \u043c\u0438 \u043c\u0430\u0454\u043c\u043e \u0442\u0430\u043a\u0443 \u043c\u0430\u0442\u0440\u0438\u0446\u044e \u0432 R:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create matrix\n<span style=\"color: #000000;\">mat &lt;- matrix(1:15, nrow= <span style=\"color: #008000;\">3<\/span> )<\/span><\/span>\n\n<span style=\"color: #008080;\">#view matrix\n<\/span>mast\n\n     [,1] [,2] [,3] [,4] [,5]\n[1,] 1 4 7 10 13\n[2,] 2 5 8 11 14\n[3,] 3 6 9 12 15\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e <strong>apply()<\/strong> \u0434\u043b\u044f \u0437\u0430\u0441\u0442\u043e\u0441\u0443\u0432\u0430\u043d\u043d\u044f \u0440\u0456\u0437\u043d\u0438\u0445 \u0444\u0443\u043d\u043a\u0446\u0456\u0439 \u0434\u043e \u0440\u044f\u0434\u043a\u0456\u0432 \u043c\u0430\u0442\u0440\u0438\u0446\u0456:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find mean of each row\n<\/span><span style=\"color: #000000;\">apply(mat, 1, mean)\n\n[1] 7 8 9\n<\/span>\n<span style=\"color: #008080;\">#find sum of each row\n<\/span>apply(mat, 1, sum)\n\n[1] 35 40 45\n\n<span style=\"color: #008080;\">#find standard deviation of each row<\/span>\napply(mat, 1, sd)\n\n[1] 4.743416 4.743416 4.743416\n\n<span style=\"color: #008080;\">#multiply the value in each row by 2 (using t() to transpose the results)<\/span>\nt(apply(mat, 1, <span style=\"color: #008000;\">function<\/span> (x) x * 2))\n\n     [,1] [,2] [,3] [,4] [,5]\n[1,] 2 8 14 20 26\n[2,] 4 10 16 22 28\n[3,] 6 12 18 24 30\n\n<span style=\"color: #008080;\">#normalize every row to 1 (using t() to transpose the results)\n<\/span>t(apply(mat, 1, <span style=\"color: #008000;\">function<\/span> (x) x \/ sum(x) ))\n\n           [,1] [,2] [,3] [,4] [,5]\n[1,] 0.02857143 0.1142857 0.2 0.2857143 0.3714286\n[2,] 0.05000000 0.1250000 0.2 0.2750000 0.3500000\n[3,] 0.06666667 0.1333333 0.2 0.2666667 0.3333333<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0417\u0430\u0443\u0432\u0430\u0436\u0442\u0435, \u0449\u043e \u044f\u043a\u0449\u043e \u0432\u0438 \u0445\u043e\u0447\u0435\u0442\u0435 \u0437\u043d\u0430\u0439\u0442\u0438 \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u0430\u0431\u043e \u0441\u0443\u043c\u0443 \u043a\u043e\u0436\u043d\u043e\u0433\u043e \u0440\u044f\u0434\u043a\u0430, \u0448\u0432\u0438\u0434\u0448\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0432\u0431\u0443\u0434\u043e\u0432\u0430\u043d\u0456 \u0444\u0443\u043d\u043a\u0446\u0456\u0457 <strong>rowMeans()<\/strong> \u0430\u0431\u043e <strong>rowSums()<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find mean of each row\n<\/span><span style=\"color: #000000;\">rowMeans(mat)\n\n[1] 7 8 9\n<\/span>\n<span style=\"color: #008080;\">#find sum of each row\n<\/span>rowSums(mat)\n\n[1] 35 40 45<\/strong><\/pre>\n<h3> <strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 2: \u0417\u0430\u0441\u0442\u043e\u0441\u0443\u0439\u0442\u0435 \u0444\u0443\u043d\u043a\u0446\u0456\u044e \u0434\u043e \u043a\u043e\u0436\u043d\u043e\u0433\u043e \u0440\u044f\u0434\u043a\u0430 \u043a\u0430\u0434\u0440\u0443 \u0434\u0430\u043d\u0438\u0445<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">\u041f\u0440\u0438\u043f\u0443\u0441\u0442\u0438\u043c\u043e, \u0449\u043e \u043c\u0438 \u043c\u0430\u0454\u043c\u043e \u0442\u0430\u043a\u0443 \u043c\u0430\u0442\u0440\u0438\u0446\u044e \u0432 R:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame\n<span style=\"color: #000000;\">df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (var1=1:3,\n                 var2=4:6,\n                 var3=7:9,\n                 var4=10:12,\n                 var5=13:15)<\/span><\/span>\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>df\n\n  var1 var2 var3 var4 var5\n1 1 4 7 10 13\n2 2 5 8 11 14\n3 3 6 9 12 15\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e <strong>apply()<\/strong> \u0434\u043b\u044f \u0437\u0430\u0441\u0442\u043e\u0441\u0443\u0432\u0430\u043d\u043d\u044f \u0440\u0456\u0437\u043d\u0438\u0445 \u0444\u0443\u043d\u043a\u0446\u0456\u0439 \u0434\u043e \u0440\u044f\u0434\u043a\u0456\u0432 \u043a\u0430\u0434\u0440\u0443 \u0434\u0430\u043d\u0438\u0445:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find mean of each row\n<\/span><span style=\"color: #000000;\">apply(df, 1, mean)\n\n[1] 7 8 9\n<\/span>\n<span style=\"color: #008080;\">#find sum of each row\n<\/span>apply(df, 1, sum)\n\n[1] 35 40 45\n\n<span style=\"color: #008080;\">#find standard deviation of each row<\/span>\napply(df, 1, sd)\n\n[1] 4.743416 4.743416 4.743416\n\n<span style=\"color: #008080;\">#multiply the value in each row by 2 (using t() to transpose the results)<\/span>\nt(apply(df, 1, <span style=\"color: #008000;\">function<\/span> (x) x * 2))\n\n     var1 var2 var3 var4 var5\n[1,] 2 8 14 20 26\n[2,] 4 10 16 22 28\n[3,] 6 12 18 24 30\n\n<span style=\"color: #008080;\">#normalize every row to 1 (using t() to transpose the results)\n<\/span>t(apply(df, 1, <span style=\"color: #008000;\">function<\/span> (x) x \/ sum(x) ))\n\n           var1 var2 var3 var4 var5\n[1,] 0.02857143 0.1142857 0.2 0.2857143 0.3714286\n[2,] 0.05000000 0.1250000 0.2 0.2750000 0.3500000\n[3,] 0.06666667 0.1333333 0.2 0.2666667 0.3333333<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041f\u043e\u0434\u0456\u0431\u043d\u043e \u0434\u043e \u043c\u0430\u0442\u0440\u0438\u0446\u044c, \u044f\u043a\u0449\u043e \u0432\u0438 \u0445\u043e\u0447\u0435\u0442\u0435 \u0437\u043d\u0430\u0439\u0442\u0438 \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u0430\u0431\u043e \u0441\u0443\u043c\u0443 \u043a\u043e\u0436\u043d\u043e\u0433\u043e \u0440\u044f\u0434\u043a\u0430, \u0448\u0432\u0438\u0434\u0448\u0435 \u0441\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0439\u0442\u0435\u0441\u044f \u0432\u0431\u0443\u0434\u043e\u0432\u0430\u043d\u0438\u043c\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044f\u043c\u0438 <strong>rowMeans()<\/strong> \u0430\u0431\u043e <strong>rowSums()<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find mean of each row\n<\/span><span style=\"color: #000000;\">rowMeans(df)\n\n[1] 7 8 9\n<\/span>\n<span style=\"color: #008080;\">#find sum of each row\n<\/span>rowSums(df)\n\n[1] 35 40 45<\/strong><\/pre>\n<h3> <strong>\u0414\u043e\u0434\u0430\u0442\u043a\u043e\u0432\u0456 \u0440\u0435\u0441\u0443\u0440\u0441\u0438<\/strong><\/h3>\n<p> \u042f\u043a \u043e\u0442\u0440\u0438\u043c\u0430\u0442\u0438 \u043d\u043e\u043c\u0435\u0440\u0438 \u0440\u044f\u0434\u043a\u0456\u0432 \u0443 R<br \/> <a href=\"https:\/\/statorials.org\/uk\/\u043f\u043e\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438,-\u044f\u043a\u0449\u043e-r\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0437\u0430\u043f\u0443\u0441\u0442\u0438\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e COUNTIF \u0443 R<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u0441\u0443\u043c\u0430-\u0432-r\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0437\u0430\u043f\u0443\u0441\u0442\u0438\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e SUMIF \u0443 R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e apply() , \u0449\u043e\u0431 \u0437\u0430\u0441\u0442\u043e\u0441\u0443\u0432\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e \u0434\u043e \u043a\u043e\u0436\u043d\u043e\u0433\u043e \u0440\u044f\u0434\u043a\u0430 \u043c\u0430\u0442\u0440\u0438\u0446\u0456 \u0430\u0431\u043e \u043a\u0430\u0434\u0440\u0443 \u0434\u0430\u043d\u0438\u0445 \u0443 R. \u0426\u044f \u0444\u0443\u043d\u043a\u0446\u0456\u044f \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0454 \u0442\u0430\u043a\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441: \u0437\u0430\u0441\u0442\u043e\u0441\u0443\u0432\u0430\u0442\u0438 (X, MARGIN, FUN) \u0437\u043e\u043b\u043e\u0442\u043e: X: \u041d\u0430\u0437\u0432\u0430 \u043c\u0430\u0442\u0440\u0438\u0446\u0456 \u0430\u0431\u043e \u0431\u043b\u043e\u043a\u0443 \u0434\u0430\u043d\u0438\u0445. MARGIN: \u0420\u043e\u0437\u043c\u0456\u0440, \u043d\u0430 \u044f\u043a\u043e\u043c\u0443 \u0432\u0438\u043a\u043e\u043d\u0443\u0454\u0442\u044c\u0441\u044f \u043e\u043f\u0435\u0440\u0430\u0446\u0456\u044f. \u0412\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 1 \u0434\u043b\u044f \u0440\u044f\u0434\u043a\u0430, 2 \u0434\u043b\u044f \u0441\u0442\u043e\u0432\u043f\u0446\u044f. FUN: \u0444\u0443\u043d\u043a\u0446\u0456\u044f \u0434\u043b\u044f \u0437\u0430\u0441\u0442\u043e\u0441\u0443\u0432\u0430\u043d\u043d\u044f. \u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0456 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0438 \u043f\u043e\u043a\u0430\u0437\u0443\u044e\u0442\u044c, [&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":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u042f\u043a \u0437\u0430\u0441\u0442\u043e\u0441\u0443\u0432\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e \u0434\u043e \u043a\u043e\u0436\u043d\u043e\u0433\u043e \u0440\u044f\u0434\u043a\u0430 \u043c\u0430\u0442\u0440\u0438\u0446\u0456 \u0430\u0431\u043e \u043a\u0430\u0434\u0440\u0443 \u0434\u0430\u043d\u0438\u0445 \u0443 R<\/title>\n<meta name=\"description\" content=\"\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a \u0437\u0430\u0441\u0442\u043e\u0441\u0443\u0432\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e \u0434\u043e \u043a\u043e\u0436\u043d\u043e\u0433\u043e \u0440\u044f\u0434\u043a\u0430 \u043c\u0430\u0442\u0440\u0438\u0446\u0456 \u0430\u0431\u043e \u043a\u0430\u0434\u0440\u0443 \u0434\u0430\u043d\u0438\u0445 \u0443 R, \u0456\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438.\" \/>\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\/uk\/r-\u0437\u0430\u0441\u0442\u043e\u0441\u0443\u0432\u0430\u0442\u0438-\u0444\u0443\u043d\u043a\u0446\u0456\u044e-\u0434\u043e-\u043a\u043e\u0436\u043d\u043e\u0433\u043e-\u0440\u044f\u0434\u043a\u0430\/\" \/>\n<meta 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