{"id":465,"date":"2023-07-29T19:40:31","date_gmt":"2023-07-29T19:40:31","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d1%80%d1%83%d0%ba%d0%be%d0%b2%d0%be%d0%b4%d1%81%d1%82%d0%b2%d0%be-%d0%bf%d0%be-%d0%bd%d0%b0%d0%bd%d0%b5%d1%81%d0%b5%d0%bd%d0%b8%d1%8e-lapply-sapply-%d0%b8-tapply-%d0%b2-%d0%b3\/"},"modified":"2023-07-29T19:40:31","modified_gmt":"2023-07-29T19:40:31","slug":"%d1%80%d1%83%d0%ba%d0%be%d0%b2%d0%be%d0%b4%d1%81%d1%82%d0%b2%d0%be-%d0%bf%d0%be-%d0%bd%d0%b0%d0%bd%d0%b5%d1%81%d0%b5%d0%bd%d0%b8%d1%8e-lapply-sapply-%d0%b8-tapply-%d0%b2-%d0%b3","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d1%80%d1%83%d0%ba%d0%be%d0%b2%d0%be%d0%b4%d1%81%d1%82%d0%b2%d0%be-%d0%bf%d0%be-%d0%bd%d0%b0%d0%bd%d0%b5%d1%81%d0%b5%d0%bd%d0%b8%d1%8e-lapply-sapply-%d0%b8-tapply-%d0%b2-%d0%b3\/","title":{"rendered":"\u0420\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u043e \u043f\u043e \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044e(), lapply(), sapply() \u0438 tapply() \u0432 r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u044e\u0442\u0441\u044f \u0440\u0430\u0437\u043b\u0438\u0447\u0438\u044f \u043c\u0435\u0436\u0434\u0443 \u0432\u0441\u0442\u0440\u043e\u0435\u043d\u043d\u044b\u043c\u0438 \u0444\u0443\u043d\u043a\u0446\u0438\u044f\u043c\u0438 R <strong>apply()<\/strong> , <strong>sapply()<\/strong> , <strong>lapply()<\/strong> \u0438 <strong>Tapply(),<\/strong> \u0430 \u0442\u0430\u043a\u0436\u0435 \u043f\u0440\u0438\u0432\u043e\u0434\u044f\u0442\u0441\u044f \u043f\u0440\u0438\u043c\u0435\u0440\u044b \u0442\u043e\u0433\u043e, \u043a\u043e\u0433\u0434\u0430 \u0438 \u043a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043a\u0430\u0436\u0434\u0443\u044e \u0444\u0443\u043d\u043a\u0446\u0438\u044e.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0442\u044c()<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0418\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0439\u0442\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u044e <strong>apply()<\/strong> , \u0435\u0441\u043b\u0438 \u0432\u044b \u0445\u043e\u0442\u0438\u0442\u0435 \u043f\u0440\u0438\u043c\u0435\u043d\u0438\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u044e \u043a \u0441\u0442\u0440\u043e\u043a\u0430\u043c \u0438\u043b\u0438 \u0441\u0442\u043e\u043b\u0431\u0446\u0430\u043c \u043c\u0430\u0442\u0440\u0438\u0446\u044b \u0438\u043b\u0438 \u0444\u0440\u0435\u0439\u043c\u0430 \u0434\u0430\u043d\u043d\u044b\u0445.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041e\u0441\u043d\u043e\u0432\u043d\u043e\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 apply():<\/span><\/p>\n<p style=\"text-align: center;\"> <span style=\"color: #000000;\"><strong>\u043f\u0440\u0438\u043c\u0435\u043d\u0438\u0442\u044c (X, MARGIN, FUN)<\/strong><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">X \u2014 \u0438\u043c\u044f \u043c\u0430\u0441\u0441\u0438\u0432\u0430 \u0438\u043b\u0438 \u0431\u043b\u043e\u043a\u0430 \u0434\u0430\u043d\u043d\u044b\u0445.<\/span><\/li>\n<li> <span style=\"color: #000000;\">MARGIN \u0443\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u0432 \u043a\u0430\u043a\u043e\u043c \u0438\u0437\u043c\u0435\u0440\u0435\u043d\u0438\u0438 \u0441\u043b\u0435\u0434\u0443\u0435\u0442 \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u044e (1 = \u0441\u0442\u0440\u043e\u043a\u0430, 2 = \u0441\u0442\u043e\u043b\u0431\u0435\u0446).<\/span><\/li>\n<li> <span style=\"color: #000000;\">FUN \u2014 \u044d\u0442\u043e \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u0430\u044f \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u044f, \u043a\u043e\u0442\u043e\u0440\u0443\u044e \u0432\u044b \u0445\u043e\u0442\u0438\u0442\u0435 \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c (\u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u043c\u0438\u043d, \u043c\u0430\u043a\u0441\u0438\u043c\u0443\u043c, \u0441\u0443\u043c\u043c\u0430, \u0441\u0440\u0435\u0434\u043d\u0435\u0435 \u0438 \u0442. \u0434.).<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u0434\u0435\u043c\u043e\u043d\u0441\u0442\u0440\u0438\u0440\u0443\u0435\u0442 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043f\u0440\u0438\u043c\u0435\u0440\u043e\u0432 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f <strong>\u043c\u0435\u0442\u043e\u0434\u0430 apply()<\/strong> \u0432 \u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0438.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create a data frame with three columns and five rows<\/span>\ndata &lt;- data.frame(a = c(1, 3, 7, 12, 9),\n                   b = c(4, 4, 6, 7, 8),\n                   c = c(14, 15, 11, 10, 6))\ndata\n\n#abc\n#1 1 4 14\n#2 3 4 15\n#3 7 6 11\n#4 12 7 10\n#5 9 8 6\n\n<span style=\"color: #008080;\">#find the sum of each row<\/span>\napply(data, 1, sum)\n\n#[1] 19 22 24 29 23\n\n<span style=\"color: #008080;\">#find the sum of each column<\/span>\napply(data, 2, sum)\n\n#abc\n#32 29 56 \n\n<span style=\"color: #008080;\">#find the mean of each row<\/span>\napply(data, 1, mean)\n\n#[1] 6.333333 7.333333 8.000000 9.666667 7.666667\n\n<span style=\"color: #008080;\">#find the mean of each column, rounded to one decimal place<\/span>\nround(apply(data, 2, mean), 1)\n\n#abc\n#6.4 5.8 11.2 \n\n<span style=\"color: #008080;\">#find the standard deviation of each row<\/span>\napply(data, 1, sd)\n\n#[1] 6.806859 6.658328 2.645751 2.516611 1.527525\n\n<span style=\"color: #008080;\">#find the standard deviation of each column<\/span>\napply(data, 2, sd)\n\n#abc\n#4.449719 1.788854 3.563706 \n<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0442\u044c()<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0418\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0439\u0442\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u044e <strong>lapply()<\/strong> , \u0435\u0441\u043b\u0438 \u0432\u044b \u0445\u043e\u0442\u0438\u0442\u0435 \u043f\u0440\u0438\u043c\u0435\u043d\u0438\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u044e \u043a \u043a\u0430\u0436\u0434\u043e\u043c\u0443 \u044d\u043b\u0435\u043c\u0435\u043d\u0442\u0443 \u0441\u043f\u0438\u0441\u043a\u0430, \u0432\u0435\u043a\u0442\u043e\u0440\u0430 \u0438\u043b\u0438 \u0444\u0440\u0435\u0439\u043c\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 \u0438 \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0432 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0435 \u0441\u043f\u0438\u0441\u043e\u043a.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041e\u0441\u043d\u043e\u0432\u043d\u043e\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 lapply():<\/span><\/p>\n<p style=\"text-align: center;\"> <span style=\"color: #000000;\"><strong>\u043b\u0430\u043f\u043f\u043b\u0438(X, \u0412\u0415\u0421\u0415\u041b\u041e)<\/strong><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">X \u2014 \u0438\u043c\u044f \u0441\u043f\u0438\u0441\u043a\u0430, \u0432\u0435\u043a\u0442\u043e\u0440\u0430 \u0438\u043b\u0438 \u0444\u0440\u0435\u0439\u043c\u0430 \u0434\u0430\u043d\u043d\u044b\u0445.<\/span><\/li>\n<li> <span style=\"color: #000000;\">FUN \u2014 \u044d\u0442\u043e \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u0430\u044f \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u044f, \u043a\u043e\u0442\u043e\u0440\u0443\u044e \u0432\u044b \u0445\u043e\u0442\u0438\u0442\u0435 \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u0434\u0435\u043c\u043e\u043d\u0441\u0442\u0440\u0438\u0440\u0443\u0435\u0442 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043f\u0440\u0438\u043c\u0435\u0440\u043e\u0432 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f <strong>lapply()<\/strong> \u0434\u043b\u044f \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432 \u0432\u043e \u0444\u0440\u0435\u0439\u043c\u0435 \u0434\u0430\u043d\u043d\u044b\u0445.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create a data frame with three columns and five rows\n<\/span>data &lt;- data.frame(a = c(1, 3, 7, 12, 9),\n                   b = c(4, 4, 6, 7, 8),\n                   c = c(14, 15, 11, 10, 6))\ndata\n\n#abc\n#1 1 4 14\n#2 3 4 15\n#3 7 6 11\n#4 12 7 10\n#5 9 8 6\n\n<span style=\"color: #008080;\">#find mean of each column and return results as a list<\/span>\napply(data, mean)\n\n#$a\n# [1] 6.4\n#\n# $b\n# [1] 5.8\n#\n# $c\n# [1] 11.2\n\n<span style=\"color: #008080;\">#multiply values in each column by 2 and return results as a list<\/span>\nlapply(data, function(data) data*2)\n\n#$a\n# [1] 2 6 14 24 18\n#\n# $b\n# [1] 8 8 12 14 16\n#\n# $c\n# [1] 28 30 22 20 12\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041c\u044b \u0442\u0430\u043a\u0436\u0435 \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c <strong>lapply()<\/strong> \u0434\u043b\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0439 \u0441\u043e \u0441\u043f\u0438\u0441\u043a\u0430\u043c\u0438. \u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u043f\u0440\u0438\u043c\u0435\u0440\u044b \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u044e\u0442, \u043a\u0430\u043a \u044d\u0442\u043e \u0441\u0434\u0435\u043b\u0430\u0442\u044c.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create a list\n<\/span>x &lt;- list(a=1, b=1:5, c=1:10) \nx\n\n#$a\n# [1] 1\n#\n# $b\n# [1] 1 2 3 4 5\n#\n# $c\n# [1] 1 2 3 4 5 6 7 8 9 10\n\n<span style=\"color: #008080;\">#find the sum of each element in the list<\/span>\nlapply(x, sum)\n\n#$a\n# [1] 1\n#\n# $b\n# [1] 15\n#\n# $c\n#[1]55\n\n<span style=\"color: #008080;\">#find the mean of each element in the list<\/span>\nlapply(x, mean)\n\n#$a\n# [1] 1\n#\n# $b\n# [1] 3\n#\n# $c\n# [1] 5.5\n\n<span style=\"color: #008080;\">#multiply values of each element by 5 and return results as a list<\/span>\nlapply(x, function(x) x*5)\n\n#$a\n# [1] 5\n#\n# $b\n# [1] 5 10 15 20 25\n#\n# $c\n# [1] 5 10 15 20 25 30 35 40 45 50\n<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0442\u044c()<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0418\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0439\u0442\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u044e <strong>sapply()<\/strong> , \u0435\u0441\u043b\u0438 \u0432\u044b \u0445\u043e\u0442\u0438\u0442\u0435 \u043f\u0440\u0438\u043c\u0435\u043d\u0438\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u044e \u043a \u043a\u0430\u0436\u0434\u043e\u043c\u0443 \u044d\u043b\u0435\u043c\u0435\u043d\u0442\u0443 \u0441\u043f\u0438\u0441\u043a\u0430, \u0432\u0435\u043a\u0442\u043e\u0440\u0430 \u0438\u043b\u0438 \u0444\u0440\u0435\u0439\u043c\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 \u0438, \u0442\u0430\u043a\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c, \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c <strong>\u0432\u0435\u043a\u0442\u043e\u0440<\/strong> \u0432\u043c\u0435\u0441\u0442\u043e \u0441\u043f\u0438\u0441\u043a\u0430.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041e\u0441\u043d\u043e\u0432\u043d\u043e\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 sapply():<\/span><\/p>\n<p style=\"text-align: center;\"> <span style=\"color: #000000;\"><strong>\u043f\u0440\u0438\u043c\u0435\u043d\u0438\u0442\u044c (X, FUN)<\/strong><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">X \u2014 \u0438\u043c\u044f \u0441\u043f\u0438\u0441\u043a\u0430, \u0432\u0435\u043a\u0442\u043e\u0440\u0430 \u0438\u043b\u0438 \u0444\u0440\u0435\u0439\u043c\u0430 \u0434\u0430\u043d\u043d\u044b\u0445.<\/span><\/li>\n<li> <span style=\"color: #000000;\">FUN \u2014 \u044d\u0442\u043e \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u0430\u044f \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u044f, \u043a\u043e\u0442\u043e\u0440\u0443\u044e \u0432\u044b \u0445\u043e\u0442\u0438\u0442\u0435 \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u0434\u0435\u043c\u043e\u043d\u0441\u0442\u0440\u0438\u0440\u0443\u0435\u0442 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043f\u0440\u0438\u043c\u0435\u0440\u043e\u0432 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f <strong>sapply()<\/strong> \u0434\u043b\u044f \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432 \u0432\u043e \u0444\u0440\u0435\u0439\u043c\u0435 \u0434\u0430\u043d\u043d\u044b\u0445.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create a data frame with three columns and five rows\n<\/span>data &lt;- data.frame(a = c(1, 3, 7, 12, 9),\n                   b = c(4, 4, 6, 7, 8),\n                   c = c(14, 15, 11, 10, 6))\ndata\n\n#abc\n#1 1 4 14\n#2 3 4 15\n#3 7 6 11\n#4 12 7 10\n#5 9 8 6\n\n<span style=\"color: #008080;\">#find mean of each column and return results as a vector\n<\/span>sapply(data, mean)\n\n#abc\n#6.4 5.8 11.2 \n\n<span style=\"color: #008080;\">#multiply values in each column by 2 and return results as a matrix\n<\/span>sapply(data, function(data) data*2)\n\n#abc\n#[1,] 2 8 28\n#[2,] 6 8 30\n#[3,] 14 12 22\n#[4,] 24 14 20\n#[5,] 18 16 12<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041c\u044b \u0442\u0430\u043a\u0436\u0435 \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c <strong>sapply()<\/strong> \u0434\u043b\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0439 \u0441\u043e \u0441\u043f\u0438\u0441\u043a\u0430\u043c\u0438. \u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u043f\u0440\u0438\u043c\u0435\u0440\u044b \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u044e\u0442, \u043a\u0430\u043a \u044d\u0442\u043e \u0441\u0434\u0435\u043b\u0430\u0442\u044c.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create a list\n<\/span>x &lt;- list(a=1, b=1:5, c=1:10) \nx\n\n#$a\n# [1] 1\n#\n# $b\n# [1] 1 2 3 4 5\n#\n# $c\n# [1] 1 2 3 4 5 6 7 8 9 10\n\n<span style=\"color: #008080;\">#find the sum of each element in the list<\/span>\nsapply(x, sum)\n\n#abc\n#1 15 55 \n\n<span style=\"color: #008080;\">#find the mean of each element in the list<\/span>\nsapply(x, mean)\n\n#abc\n#1.0 3.0 5.5\n<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u043a\u0440\u0430\u043d()<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0418\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0439\u0442\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u044e <strong>Tapply()<\/strong> , \u0435\u0441\u043b\u0438 \u0432\u044b \u0445\u043e\u0442\u0438\u0442\u0435 \u043f\u0440\u0438\u043c\u0435\u043d\u0438\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u044e \u043a \u043f\u043e\u0434\u043c\u043d\u043e\u0436\u0435\u0441\u0442\u0432\u0430\u043c \u0432\u0435\u043a\u0442\u043e\u0440\u0430, \u0438 \u044d\u0442\u0438 \u043f\u043e\u0434\u043c\u043d\u043e\u0436\u0435\u0441\u0442\u0432\u0430 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u044e\u0442\u0441\u044f \u0434\u0440\u0443\u0433\u0438\u043c \u0432\u0435\u043a\u0442\u043e\u0440\u043e\u043c, \u043e\u0431\u044b\u0447\u043d\u043e \u0444\u0430\u043a\u0442\u043e\u0440\u043e\u043c.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041e\u0441\u043d\u043e\u0432\u043d\u043e\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 Tapply():<\/span><\/p>\n<p style=\"text-align: center;\"> <span style=\"color: #000000;\"><strong>\u043d\u0430\u0436\u043c\u0438\u0442\u0435 (X, \u0418\u041d\u0414\u0415\u041a\u0421, \u0412\u0415\u0421\u0415\u041b\u041e)<\/strong><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">X \u2014 \u0438\u043c\u044f \u043e\u0431\u044a\u0435\u043a\u0442\u0430, \u043e\u0431\u044b\u0447\u043d\u043e \u0432\u0435\u043a\u0442\u043e\u0440\u0430.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u0418\u041d\u0414\u0415\u041a\u0421 \u2014 \u044d\u0442\u043e \u0441\u043f\u0438\u0441\u043e\u043a \u043e\u0434\u043d\u043e\u0433\u043e \u0438\u043b\u0438 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u0445 \u0444\u0430\u043a\u0442\u043e\u0440\u043e\u0432.<\/span><\/li>\n<li> <span style=\"color: #000000;\">FUN \u2014 \u044d\u0442\u043e \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u0430\u044f \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u044f, \u043a\u043e\u0442\u043e\u0440\u0443\u044e \u0432\u044b \u0445\u043e\u0442\u0438\u0442\u0435 \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u043a\u043e\u0434\u0435 \u043f\u043e\u043a\u0430\u0437\u0430\u043d \u043f\u0440\u0438\u043c\u0435\u0440 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f <strong>Tapply()<\/strong> \u0434\u043b\u044f <strong>\u0432\u0441\u0442\u0440\u043e\u0435\u043d\u043d\u043e\u0433\u043e \u043d\u0430\u0431\u043e\u0440\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 R \u0440\u0430\u0434\u0443\u0436\u043d\u043e\u0439 \u043e\u0431\u043e\u043b\u043e\u0447\u043a\u0438 \u0433\u043b\u0430\u0437\u0430 <em>.<\/em><\/strong><\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view first six lines of <em>iris<\/em> dataset<\/span>\nhead(iris)\n\n# Sepal.Length Sepal.Width Petal.Length Petal.Width Species\n#1 5.1 3.5 1.4 0.2 setosa\n#2 4.9 3.0 1.4 0.2 setosa\n#3 4.7 3.2 1.3 0.2 setosa\n#4 4.6 3.1 1.5 0.2 setosa\n#5 5.0 3.6 1.4 0.2 setosa\n#6 5.4 3.9 1.7 0.4 setosa\n\n<span style=\"color: #008080;\">#find the max Sepal.Length of each of the three Species<\/span>\ntapply(iris$Sepal.Length, iris$Species, max)\n\n#setosa versicolor virginica \n#5.8 7.0 7.9 \n\n<span style=\"color: #008080;\">#find the mean Sepal.Width of each of the three Species\n<\/span>tapply(iris$Sepal.Width, iris$Species, mean)\n\n# setosa versicolor virginica \n# 3,428 2,770 2,974\n\n<span style=\"color: #008080;\">#find the minimum Petal.Width of each of the three Species\n<\/span>tapply(iris$Petal.Width, iris$Species, min)\n\n# setosa versicolor virginica \n#0.1 1.0 1.4 \n<\/strong><\/pre>\n","protected":false},"excerpt":{"rendered":"<p>\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u044e\u0442\u0441\u044f \u0440\u0430\u0437\u043b\u0438\u0447\u0438\u044f \u043c\u0435\u0436\u0434\u0443 \u0432\u0441\u0442\u0440\u043e\u0435\u043d\u043d\u044b\u043c\u0438 \u0444\u0443\u043d\u043a\u0446\u0438\u044f\u043c\u0438 R apply() , sapply() , lapply() \u0438 Tapply(), \u0430 \u0442\u0430\u043a\u0436\u0435 \u043f\u0440\u0438\u0432\u043e\u0434\u044f\u0442\u0441\u044f \u043f\u0440\u0438\u043c\u0435\u0440\u044b \u0442\u043e\u0433\u043e, \u043a\u043e\u0433\u0434\u0430 \u0438 \u043a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043a\u0430\u0436\u0434\u0443\u044e \u0444\u0443\u043d\u043a\u0446\u0438\u044e. \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0442\u044c() \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0439\u0442\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u044e apply() , \u0435\u0441\u043b\u0438 \u0432\u044b \u0445\u043e\u0442\u0438\u0442\u0435 \u043f\u0440\u0438\u043c\u0435\u043d\u0438\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u044e \u043a \u0441\u0442\u0440\u043e\u043a\u0430\u043c \u0438\u043b\u0438 \u0441\u0442\u043e\u043b\u0431\u0446\u0430\u043c \u043c\u0430\u0442\u0440\u0438\u0446\u044b \u0438\u043b\u0438 \u0444\u0440\u0435\u0439\u043c\u0430 \u0434\u0430\u043d\u043d\u044b\u0445. \u041e\u0441\u043d\u043e\u0432\u043d\u043e\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 apply(): \u043f\u0440\u0438\u043c\u0435\u043d\u0438\u0442\u044c (X, MARGIN, FUN) X \u2014 [&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-465","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>\u0420\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u043e \u043f\u043e \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044e(), lapply(), sapply() \u0438 Tapply() \u0432 R - \u0421\u0442\u0430\u0442\u043e\u0440\u0438\u0430\u043b\u044b<\/title>\n<meta name=\"description\" content=\"\u0412 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