{"id":1287,"date":"2023-07-27T00:11:30","date_gmt":"2023-07-27T00:11:30","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d1%8d%d1%82%d0%b0-%d0%b2-%d0%ba%d0%b2%d0%b0%d0%b4%d1%80%d0%b0%d1%82%d0%b5-r\/"},"modified":"2023-07-27T00:11:30","modified_gmt":"2023-07-27T00:11:30","slug":"%d1%8d%d1%82%d0%b0-%d0%b2-%d0%ba%d0%b2%d0%b0%d0%b4%d1%80%d0%b0%d1%82%d0%b5-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d1%8d%d1%82%d0%b0-%d0%b2-%d0%ba%d0%b2%d0%b0%d0%b4%d1%80%d0%b0%d1%82%d0%b5-r\/","title":{"rendered":"\u041a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u043a\u0432\u0430\u0434\u0440\u0430\u0442 \u044d\u0442\u0430\u0442\u044b \u0432 r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ru\/\u044d\u0442\u0430-\u0432-\u043a\u0432\u0430\u0434\u0440\u0430\u0442\u0435\/\" target=\"_blank\" rel=\"noopener\">\u042d\u0442\u0430-\u043a\u0432\u0430\u0434\u0440\u0430\u0442<\/a> \u2014 \u044d\u0442\u043e \u043c\u0435\u0440\u0430 <a href=\"https:\/\/statorials.org\/ru\/\u0440\u0430\u0437\u043c\u0435\u0440-\u044d\u0444\u0444\u0435\u043a\u0442\u0430\/\" target=\"_blank\" rel=\"noopener\">\u0440\u0430\u0437\u043c\u0435\u0440\u0430 \u044d\u0444\u0444\u0435\u043a\u0442\u0430,<\/a> \u043e\u0431\u044b\u0447\u043d\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u043c\u0430\u044f \u0432 \u043c\u043e\u0434\u0435\u043b\u044f\u0445 ANOVA.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041e\u043d \u0438\u0437\u043c\u0435\u0440\u044f\u0435\u0442 \u0434\u043e\u043b\u044e \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u0438, \u0441\u0432\u044f\u0437\u0430\u043d\u043d\u043e\u0439 \u0441 \u043a\u0430\u0436\u0434\u044b\u043c \u043e\u0441\u043d\u043e\u0432\u043d\u044b\u043c \u044d\u0444\u0444\u0435\u043a\u0442\u043e\u043c \u0438 \u044d\u0444\u0444\u0435\u043a\u0442\u043e\u043c \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u044f \u0432 \u043c\u043e\u0434\u0435\u043b\u0438 ANOVA, \u0438 \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u044b\u0432\u0430\u0435\u0442\u0441\u044f<\/span> <span style=\"color: #000000;\">\u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u042d\u0442\u0430 \u0432 \u043a\u0432\u0430\u0434\u0440\u0430\u0442\u0435 = <sub>\u044d\u0444\u0444\u0435\u043a\u0442<\/sub> SS \/ <sub>\u043e\u0431\u0449\u0435\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e<\/sub> SS<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0417\u043e\u043b\u043e\u0442\u043e:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>SS <sub>\u042d\u0444\u0444\u0435\u043a\u0442<\/sub> :<\/strong> \u0441\u0443\u043c\u043c\u0430 \u043a\u0432\u0430\u0434\u0440\u0430\u0442\u043e\u0432 \u044d\u0444\u0444\u0435\u043a\u0442\u0430 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong><sub>Total<\/sub> SS:<\/strong> \u043e\u0431\u0449\u0430\u044f \u0441\u0443\u043c\u043c\u0430 \u043a\u0432\u0430\u0434\u0440\u0430\u0442\u043e\u0432 \u0432 \u043c\u043e\u0434\u0435\u043b\u0438 ANOVA.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0417\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u043a\u0432\u0430\u0434\u0440\u0430\u0442\u0430 Eta \u0432\u0430\u0440\u044c\u0438\u0440\u0443\u0435\u0442\u0441\u044f \u043e\u0442 0 \u0434\u043e 1, \u0433\u0434\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0431\u043b\u0438\u0436\u0435 \u043a 1 \u0443\u043a\u0430\u0437\u044b\u0432\u0430\u044e\u0442 \u043d\u0430 \u0431\u043e\u043b\u0435\u0435 \u0432\u044b\u0441\u043e\u043a\u0443\u044e \u0434\u043e\u043b\u044e \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u0438, \u043a\u043e\u0442\u043e\u0440\u0443\u044e \u043c\u043e\u0436\u043d\u043e \u043e\u0431\u044a\u044f\u0441\u043d\u0438\u0442\u044c \u0434\u0430\u043d\u043d\u043e\u0439 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439 \u0432 \u043c\u043e\u0434\u0435\u043b\u0438.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u044d\u043c\u043f\u0438\u0440\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u043f\u0440\u0430\u0432\u0438\u043b\u0430 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0442\u0441\u044f \u0434\u043b\u044f \u0438\u043d\u0442\u0435\u0440\u043f\u0440\u0435\u0442\u0430\u0446\u0438\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u043a\u0432\u0430\u0434\u0440\u0430\u0442\u0430 Eta:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>.01:<\/strong> \u041c\u0430\u043b\u044b\u0439 \u0440\u0430\u0437\u043c\u0435\u0440 \u044d\u0444\u0444\u0435\u043a\u0442\u0430<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>.06:<\/strong> \u0421\u0440\u0435\u0434\u043d\u0438\u0439 \u0440\u0430\u0437\u043c\u0435\u0440 \u044d\u0444\u0444\u0435\u043a\u0442\u0430<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>.14 \u0438\u043b\u0438 \u0431\u043e\u043b\u044c\u0448\u0435:<\/strong> \u0431\u043e\u043b\u044c\u0448\u043e\u0439 \u0440\u0430\u0437\u043c\u0435\u0440 \u044d\u0444\u0444\u0435\u043a\u0442\u0430<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d \u043f\u043e\u0448\u0430\u0433\u043e\u0432\u044b\u0439 \u043f\u0440\u0438\u043c\u0435\u0440 \u0440\u0430\u0441\u0447\u0435\u0442\u0430 \u043a\u0432\u0430\u0434\u0440\u0430\u0442\u0430 Eta \u0434\u043b\u044f \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0432 \u043c\u043e\u0434\u0435\u043b\u0438 ANOVA \u0432 R.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u0428\u0430\u0433 1. \u0421\u043e\u0437\u0434\u0430\u0439\u0442\u0435 \u0434\u0430\u043d\u043d\u044b\u0435<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0414\u043e\u043f\u0443\u0441\u0442\u0438\u043c, \u043c\u044b \u0445\u043e\u0442\u0438\u043c \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0438\u0442\u044c, \u0432\u043b\u0438\u044f\u044e\u0442 \u043b\u0438 \u0438\u043d\u0442\u0435\u043d\u0441\u0438\u0432\u043d\u043e\u0441\u0442\u044c \u0442\u0440\u0435\u043d\u0438\u0440\u043e\u0432\u043e\u043a \u0438 \u043f\u043e\u043b \u043d\u0430 \u043f\u043e\u0442\u0435\u0440\u044e \u0432\u0435\u0441\u0430.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0427\u0442\u043e\u0431\u044b \u043f\u0440\u043e\u0432\u0435\u0440\u0438\u0442\u044c \u044d\u0442\u043e, \u043c\u044b \u043d\u0430\u0431\u0438\u0440\u0430\u0435\u043c 30 \u043c\u0443\u0436\u0447\u0438\u043d \u0438 30 \u0436\u0435\u043d\u0449\u0438\u043d \u0434\u043b\u044f \u0443\u0447\u0430\u0441\u0442\u0438\u044f \u0432 \u044d\u043a\u0441\u043f\u0435\u0440\u0438\u043c\u0435\u043d\u0442\u0435, \u0432 \u043a\u043e\u0442\u043e\u0440\u043e\u043c \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u044b\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c \u043d\u0430\u0437\u043d\u0430\u0447\u0430\u0435\u043c \u043f\u043e 10 \u0447\u0435\u043b\u043e\u0432\u0435\u043a \u0434\u043b\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u044b \u0431\u0435\u0437 \u0443\u043f\u0440\u0430\u0436\u043d\u0435\u043d\u0438\u0439, \u043b\u0435\u0433\u043a\u0438\u0445 \u0443\u043f\u0440\u0430\u0436\u043d\u0435\u043d\u0438\u0439 \u0438\u043b\u0438 \u0438\u043d\u0442\u0435\u043d\u0441\u0438\u0432\u043d\u044b\u0445 \u0443\u043f\u0440\u0430\u0436\u043d\u0435\u043d\u0438\u0439 \u0432 \u0442\u0435\u0447\u0435\u043d\u0438\u0435 \u043c\u0435\u0441\u044f\u0446\u0430.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u0444\u0440\u0435\u0439\u043c \u0434\u0430\u043d\u043d\u044b\u0445 \u0434\u043b\u044f \u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0434\u0430\u043d\u043d\u044b\u0445, \u0441 \u043a\u043e\u0442\u043e\u0440\u044b\u043c\u0438 \u043c\u044b \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u043c:<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#make this example reproducible\n<\/span>set.seed(10)\n\n<span style=\"color: #008080;\">#create data frame\n<\/span>data &lt;- data.frame(gender= <span style=\"color: #3366ff;\">rep<\/span> (c(\" <span style=\"color: #008000;\">Male<\/span> \", \" <span style=\"color: #008000;\">Female<\/span> \"), <span style=\"color: #3366ff;\">each<\/span> = 30),\n                   exercise= <span style=\"color: #3366ff;\">rep<\/span> (c(\" <span style=\"color: #008000;\">None<\/span> \", \" <span style=\"color: #008000;\">Light<\/span> \", \"Intense\"), <span style=\"color: #3366ff;\">each<\/span> = 10, <span style=\"color: #3366ff;\">times<\/span> =2),\n                   weight_loss=c(runif(10, -3, 3), runif(10, 0, 5), runif(10, 5, 9),\n                                 runif(10, -4, 2), runif(10, 0, 3), runif(10, 3, 8)))\n\n<span style=\"color: #008080;\">#view first six rows of data frame\n<\/span>head(data)\n\n# gender exercise weight_loss\n#1 Male None 0.04486922\n#2 Male None -1.15938896\n#3 Male None -0.43855400\n#4 Male None 1.15861249\n#5 Male None -2.48918419\n#6 Male None -1.64738030\n\n<span style=\"color: #008080;\">#see how many participants are in each group<\/span>\ntable(data$gender, data$exercise)\n\n# Intense Light None\n# Female 10 10 10\n# Male 10 10 10<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u0428\u0430\u0433 2. \u041f\u043e\u0434\u0431\u0435\u0440\u0438\u0442\u0435 \u043c\u043e\u0434\u0435\u043b\u044c ANOVA<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u043f\u043e\u0434\u043e\u0431\u0440\u0430\u0442\u044c <a href=\"https:\/\/statorials.org\/ru\/\u0434\u0432\u0443\u0445\u0441\u0442\u043e\u0440\u043e\u043d\u043d\u044f\u044f-\u0430\u043d\u043e\u0432\u0430\/\" target=\"_blank\" rel=\"noopener\">\u0434\u0432\u0443\u0441\u0442\u043e\u0440\u043e\u043d\u043d\u0438\u0439 \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u043e\u043d\u043d\u044b\u0439 \u0430\u043d\u0430\u043b\u0438\u0437<\/a> , \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u0444\u0438\u0437\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0443\u043f\u0440\u0430\u0436\u043d\u0435\u043d\u0438\u044f \u0438 \u043f\u043e\u043b \u0432 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 \u0444\u0430\u043a\u0442\u043e\u0440\u043e\u0432, \u0430 \u043f\u043e\u0442\u0435\u0440\u044e \u0432\u0435\u0441\u0430 \u0432 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 <a href=\"https:\/\/statorials.org\/ru\/\u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0435-\u043f\u043e\u044f\u0441\u043d\u044f\u044e\u0449\u0438\u0435-\u043e\u0442\u0432\u0435\u0442\u044b\/\" target=\"_blank\" rel=\"noopener\">\u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439 \u043e\u0442\u0432\u0435\u0442\u0430<\/a> :<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit the two-way ANOVA model<\/span>\nmodel &lt;- aov(weight_loss ~ gender + exercise, data = data)\n\n<span style=\"color: #008080;\">#view the model output<\/span>\nsummary(model)\n\n            Df Sum Sq Mean Sq F value Pr(&gt;F)    \ngender 1 15.8 15.80 9.916 0.00263 ** \nexercise 2 505.6 252.78 158.610 &lt; 2nd-16 ***\nResiduals 56 89.2 1.59       \n<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u0428\u0430\u0433 3: \u0412\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u0435 \u043a\u0432\u0430\u0434\u0440\u0430\u0442 \u044d\u0442\u0430\u0442\u044b<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u041c\u044b \u043c\u043e\u0436\u0435\u043c \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0432\u0435\u043b\u0438\u0447\u0438\u043d\u0443 \u044d\u0444\u0444\u0435\u043a\u0442\u0430 \u043a\u0432\u0430\u0434\u0440\u0430\u0442\u0430 Eta \u0434\u043b\u044f \u043a\u0430\u0436\u0434\u043e\u0439 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439 \u0432 \u043d\u0430\u0448\u0435\u0439 \u043c\u043e\u0434\u0435\u043b\u0438, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u0444\u0443\u043d\u043a\u0446\u0438\u044e <a href=\"https:\/\/www.rdocumentation.org\/packages\/lsr\/versions\/0.5\/topics\/etaSquared\" target=\"_blank\" rel=\"noopener\">etaSquared()<\/a> \u0438\u0437 \u043f\u0430\u043a\u0435\u0442\u0430 <strong>lsr<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load lsr package<\/span>\n<span style=\"color: #993300;\">library<\/span> (lsr)\n\n<span style=\"color: #008080;\">#calculate Eta Squared<\/span>\netaSquared(model)\n\n            eta.sq eta.sq.part\ngender 0.0258824 0.1504401\nexercise 0.8279555 0.8499543\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041a\u0432\u0430\u0434\u0440\u0430\u0442 \u044d\u0442\u043e\u0439 \u0434\u043b\u044f \u0441\u0435\u043a\u0441\u0430 \u0438 \u0444\u0438\u0437\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0443\u043f\u0440\u0430\u0436\u043d\u0435\u043d\u0438\u0439 \u0432\u044b\u0433\u043b\u044f\u0434\u0438\u0442 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u042d\u0442\u0430 \u0432 \u043a\u0432\u0430\u0434\u0440\u0430\u0442\u0435 \u0434\u043b\u044f \u043f\u043e\u043b\u0430: <strong>0,0258824.<\/strong><\/span><\/li>\n<li> <span style=\"color: #000000;\">\u042d\u0442\u0430 \u0432 \u043a\u0432\u0430\u0434\u0440\u0430\u0442\u0435 \u0434\u043b\u044f \u0443\u043f\u0440\u0430\u0436\u043d\u0435\u043d\u0438\u044f: <strong>0,8279555.<\/strong><\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u041c\u044b \u043f\u0440\u0438\u0448\u043b\u0438 \u043a \u0432\u044b\u0432\u043e\u0434\u0443, \u0447\u0442\u043e \u0432\u0435\u043b\u0438\u0447\u0438\u043d\u0430 \u044d\u0444\u0444\u0435\u043a\u0442\u0430 \u043e\u0442 \u0444\u0438\u0437\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0443\u043f\u0440\u0430\u0436\u043d\u0435\u043d\u0438\u0439 \u043e\u0447\u0435\u043d\u044c \u0432\u0435\u043b\u0438\u043a\u0430, \u0442\u043e\u0433\u0434\u0430 \u043a\u0430\u043a \u0432\u0435\u043b\u0438\u0447\u0438\u043d\u0430 \u044d\u0444\u0444\u0435\u043a\u0442\u0430 \u043e\u0442 \u043f\u043e\u043b\u0430 \u0432\u0435\u0441\u044c\u043c\u0430 \u043c\u0430\u043b\u0430.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u042d\u0442\u0438 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0442 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f\u043c p, \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u0435\u043c\u044b\u043c \u0432 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0435 \u0442\u0430\u0431\u043b\u0438\u0446\u044b ANOVA. \u0417\u043d\u0430\u0447\u0435\u043d\u0438\u0435 p \u0434\u043b\u044f \u0444\u0438\u0437\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0443\u043f\u0440\u0430\u0436\u043d\u0435\u043d\u0438\u0439 (&lt;0,000) \u043d\u0430\u043c\u043d\u043e\u0433\u043e \u043c\u0435\u043d\u044c\u0448\u0435, \u0447\u0435\u043c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 p \u0434\u043b\u044f \u043f\u043e\u043b\u0430 (0,00263), \u0447\u0442\u043e \u0443\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u043d\u0430 \u0442\u043e, \u0447\u0442\u043e \u0444\u0438\u0437\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0443\u043f\u0440\u0430\u0436\u043d\u0435\u043d\u0438\u044f \u0433\u043e\u0440\u0430\u0437\u0434\u043e \u0431\u043e\u043b\u0435\u0435 \u0437\u043d\u0430\u0447\u0438\u043c\u044b \u0434\u043b\u044f \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u043f\u043e\u0442\u0435\u0440\u0438 \u0432\u0435\u0441\u0430.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u0414\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0440\u0435\u0441\u0443\u0440\u0441\u044b<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0430\u0445 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0430\u0434\u0430\u043f\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0435 \u043c\u043e\u0434\u0435\u043b\u0438 ANOVA \u0432 R:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ru\/\u0432-\u043e\u0434\u043d\u0443-\u0441\u0442\u043e\u0440\u043e\u043d\u0443-\u0430\u043d\u043e\u0432\u0430-\u0440\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u043e\u0434\u043d\u043e\u0441\u0442\u043e\u0440\u043e\u043d\u043d\u0438\u0439 \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u043e\u043d\u043d\u044b\u0439 \u0430\u043d\u0430\u043b\u0438\u0437 \u0432 R<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u0430\u043d\u043e\u0432\u0430-\u0440\u0430,-\u0434\u0432\u0443\u0441\u0442\u043e\u0440\u043e\u043d\u043d\u0438\u0438\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0434\u0432\u0443\u0441\u0442\u043e\u0440\u043e\u043d\u043d\u0438\u0439 \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u043e\u043d\u043d\u044b\u0439 \u0430\u043d\u0430\u043b\u0438\u0437 \u0432 R<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u043f\u043e\u0432\u0442\u043e\u0440\u043d\u044b\u0435-\u0438\u0437\u043c\u0435\u0440\u0435\u043d\u0438\u044f-anova-\u0432-r\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u043f\u043e\u0432\u0442\u043e\u0440\u043d\u044b\u0435 \u0438\u0437\u043c\u0435\u0440\u0435\u043d\u0438\u044f ANOVA \u0432 R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u042d\u0442\u0430-\u043a\u0432\u0430\u0434\u0440\u0430\u0442 \u2014 \u044d\u0442\u043e \u043c\u0435\u0440\u0430 \u0440\u0430\u0437\u043c\u0435\u0440\u0430 \u044d\u0444\u0444\u0435\u043a\u0442\u0430, \u043e\u0431\u044b\u0447\u043d\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u043c\u0430\u044f \u0432 \u043c\u043e\u0434\u0435\u043b\u044f\u0445 ANOVA. \u041e\u043d \u0438\u0437\u043c\u0435\u0440\u044f\u0435\u0442 \u0434\u043e\u043b\u044e \u0434\u0438\u0441\u043f\u0435\u0440\u0441\u0438\u0438, \u0441\u0432\u044f\u0437\u0430\u043d\u043d\u043e\u0439 \u0441 \u043a\u0430\u0436\u0434\u044b\u043c \u043e\u0441\u043d\u043e\u0432\u043d\u044b\u043c \u044d\u0444\u0444\u0435\u043a\u0442\u043e\u043c \u0438 \u044d\u0444\u0444\u0435\u043a\u0442\u043e\u043c \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u044f \u0432 \u043c\u043e\u0434\u0435\u043b\u0438 ANOVA, \u0438 \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u044b\u0432\u0430\u0435\u0442\u0441\u044f \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c: \u042d\u0442\u0430 \u0432 \u043a\u0432\u0430\u0434\u0440\u0430\u0442\u0435 = \u044d\u0444\u0444\u0435\u043a\u0442 SS \/ \u043e\u0431\u0449\u0435\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e SS \u0417\u043e\u043b\u043e\u0442\u043e: SS \u042d\u0444\u0444\u0435\u043a\u0442 : \u0441\u0443\u043c\u043c\u0430 \u043a\u0432\u0430\u0434\u0440\u0430\u0442\u043e\u0432 \u044d\u0444\u0444\u0435\u043a\u0442\u0430 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439. Total SS: \u043e\u0431\u0449\u0430\u044f \u0441\u0443\u043c\u043c\u0430 \u043a\u0432\u0430\u0434\u0440\u0430\u0442\u043e\u0432 \u0432 \u043c\u043e\u0434\u0435\u043b\u0438 [&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-1287","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>\u041a\u0430\u043a \u0432\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u044c \u043a\u0432\u0430\u0434\u0440\u0430\u0442 \u044d\u0442\u0430\u0442\u044b \u0432 R \u2014 Statorials<\/title>\n<meta name=\"description\" content=\"\u0412 \u044d\u0442\u043e\u043c \u0443\u0440\u043e\u043a\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0432\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u044c \u043a\u0432\u0430\u0434\u0440\u0430\u0442 \u044d\u0442\u0430\u0442\u044b \u0432 R, \u043d\u0430 \u043f\u043e\u0448\u0430\u0433\u043e\u0432\u043e\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435.\" \/>\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\/ru\/\u044d\u0442\u0430-\u0432-\u043a\u0432\u0430\u0434\u0440\u0430\u0442\u0435-r\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u041a\u0430\u043a \u0432\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u044c \u043a\u0432\u0430\u0434\u0440\u0430\u0442 \u044d\u0442\u0430\u0442\u044b \u0432 R \u2014 Statorials\" \/>\n<meta property=\"og:description\" content=\"\u0412 \u044d\u0442\u043e\u043c \u0443\u0440\u043e\u043a\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0432\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u044c \u043a\u0432\u0430\u0434\u0440\u0430\u0442 \u044d\u0442\u0430\u0442\u044b \u0432 R, \u043d\u0430 \u043f\u043e\u0448\u0430\u0433\u043e\u0432\u043e\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ru\/\u044d\u0442\u0430-\u0432-\u043a\u0432\u0430\u0434\u0440\u0430\u0442\u0435-r\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-27T00:11:30+00:00\" \/>\n<meta name=\"author\" content=\"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u041d\u0430\u043f\u0438\u0441\u0430\u043d\u043e \u0430\u0432\u0442\u043e\u0440\u043e\u043c\" \/>\n\t<meta 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