{"id":4438,"date":"2023-07-11T02:36:29","date_gmt":"2023-07-11T02:36:29","guid":{"rendered":"https:\/\/statorials.org\/uk\/r-%d0%bf%d1%80%d0%be%d0%b3%d0%bd%d0%be%d0%b7%d1%83%d0%b2%d0%b0%d0%bd%d0%bd%d1%8f-%d0%bb%d0%be%d0%b3%d1%96%d1%81%d1%82%d0%b8%d1%87%d0%bd%d0%be%d1%96-%d1%80%d0%b5%d0%b3%d1%80%d0%b5%d1%81%d1%96%d1%96\/"},"modified":"2023-07-11T02:36:29","modified_gmt":"2023-07-11T02:36:29","slug":"r-%d0%bf%d1%80%d0%be%d0%b3%d0%bd%d0%be%d0%b7%d1%83%d0%b2%d0%b0%d0%bd%d0%bd%d1%8f-%d0%bb%d0%be%d0%b3%d1%96%d1%81%d1%82%d0%b8%d1%87%d0%bd%d0%be%d1%96-%d1%80%d0%b5%d0%b3%d1%80%d0%b5%d1%81%d1%96%d1%96","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/r-%d0%bf%d1%80%d0%be%d0%b3%d0%bd%d0%be%d0%b7%d1%83%d0%b2%d0%b0%d0%bd%d0%bd%d1%8f-%d0%bb%d0%be%d0%b3%d1%96%d1%81%d1%82%d0%b8%d1%87%d0%bd%d0%be%d1%96-%d1%80%d0%b5%d0%b3%d1%80%d0%b5%d1%81%d1%96%d1%96\/","title":{"rendered":"\u042f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 predict() \u0456\u0437 \u043c\u043e\u0434\u0435\u043b\u043b\u044e \u043b\u043e\u0433\u0456\u0441\u0442\u0438\u0447\u043d\u043e\u0457 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457 \u0432 r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u041f\u0456\u0441\u043b\u044f \u0442\u043e\u0433\u043e, \u044f\u043a \u043c\u0438 \u0432\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u043b\u0438 <a href=\"https:\/\/statorials.org\/uk\/\u043b\u043e\u0433\u0456\u0441\u0442\u0438\u0447\u043d\u0430-\u0440\u0435\u0433\u0440\u0435\u0441\u0456\u044f-1\/\" target=\"_blank\" rel=\"noopener\">\u043c\u043e\u0434\u0435\u043b\u044c \u043b\u043e\u0433\u0456\u0441\u0442\u0438\u0447\u043d\u043e\u0457 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457<\/a> \u0432 R, \u043c\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>predict()<\/strong> \u0434\u043b\u044f \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u0443\u0432\u0430\u043d\u043d\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u0456 \u043d\u043e\u0432\u043e\u0433\u043e \u0441\u043f\u043e\u0441\u0442\u0435\u0440\u0435\u0436\u0435\u043d\u043d\u044f, \u044f\u043a\u043e\u0433\u043e \u043c\u043e\u0434\u0435\u043b\u044c \u043d\u0456\u043a\u043e\u043b\u0438 \u0440\u0430\u043d\u0456\u0448\u0435 \u043d\u0435 \u0431\u0430\u0447\u0438\u043b\u0430.<\/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 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>predict(object, newdata, type = \u201cresponse\u201d)<\/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>\u043e\u0431&#8217;\u0454\u043a\u0442:<\/strong> \u043d\u0430\u0437\u0432\u0430 \u043c\u043e\u0434\u0435\u043b\u0456 \u043b\u043e\u0433\u0456\u0441\u0442\u0438\u0447\u043d\u043e\u0457 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>newdata:<\/strong> \u0456\u043c&#8217;\u044f \u043d\u043e\u0432\u043e\u0433\u043e \u043a\u0430\u0434\u0440\u0443 \u0434\u0430\u043d\u0438\u0445, \u0434\u043b\u044f \u044f\u043a\u043e\u0433\u043e \u043f\u043e\u0442\u0440\u0456\u0431\u043d\u043e \u0440\u043e\u0431\u0438\u0442\u0438 \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u0438<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\u0442\u0438\u043f:<\/strong> \u0442\u0438\u043f \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u0443, \u044f\u043a\u0438\u0439 \u043f\u043e\u0442\u0440\u0456\u0431\u043d\u043e \u0437\u0440\u043e\u0431\u0438\u0442\u0438<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u043c\u0443 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u044f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0446\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u044e \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434: \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043d\u044f Predict() \u0456\u0437 \u043c\u043e\u0434\u0435\u043b\u043b\u044e \u043b\u043e\u0433\u0456\u0441\u0442\u0438\u0447\u043d\u043e\u0457 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457 \u0432 R<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0414\u043b\u044f \u0446\u044c\u043e\u0433\u043e \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0443 \u043c\u0438 \u0431\u0443\u0434\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0432\u0431\u0443\u0434\u043e\u0432\u0430\u043d\u0438\u0439 \u043d\u0430\u0431\u0456\u0440 \u0434\u0430\u043d\u0438\u0445 R \u043f\u0456\u0434 \u043d\u0430\u0437\u0432\u043e\u044e <a href=\"https:\/\/statorials.org\/uk\/\u043d\u0430\u0431\u0456\u0440-\u0434\u0430\u043d\u0438\u0445-mtcars-r\/\" target=\"_blank\" rel=\"noopener\">mtcars<\/a> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view first six rows of <em>mtcars<\/em> dataset<\/span>\nhead(mtcars)\n\n                   mpg cyl disp hp drat wt qsec vs am gear carb\nMazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4\nMazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4\nDatsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1\nHornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1\nHornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2\nValiant 18.1 6 225 105 2.76 3,460 20.22 1 0 3 1<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u0437\u0430\u0441\u0442\u043e\u0441\u0443\u0454\u043c\u043e \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0443 \u043c\u043e\u0434\u0435\u043b\u044c \u043b\u043e\u0433\u0456\u0441\u0442\u0438\u0447\u043d\u043e\u0457 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457, \u0432 \u044f\u043a\u0456\u0439 \u043c\u0438 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0454\u043c\u043e \u0437\u043c\u0456\u043d\u043d\u0456 <strong>disp<\/strong> \u0456 <strong>hp<\/strong> \u0434\u043b\u044f \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u0443\u0432\u0430\u043d\u043d\u044f \u0437\u043c\u0456\u043d\u043d\u043e\u0457 \u0432\u0456\u0434\u0433\u0443\u043a\u0443 <strong>am<\/strong> (\u0442\u0438\u043f \u043a\u043e\u0440\u043e\u0431\u043a\u0438 \u043f\u0435\u0440\u0435\u0434\u0430\u0447 \u0430\u0432\u0442\u043e\u043c\u043e\u0431\u0456\u043b\u044f: 0 = \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0447\u043d\u0430, 1 = \u0440\u0443\u0447\u043d\u0430):<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit logistic regression model<\/span>\nmodel &lt;- glm(am ~ disp + hp, data=mtcars, family=binomial)\n\n<span style=\"color: #008080;\">#view model summary\n<\/span>summary(model)\n\nCall:\nglm(formula = am ~ disp + hp, family = binomial, data = mtcars)\n\nDeviance Residuals: \n    Min 1Q Median 3Q Max  \n-1.9665 -0.3090 -0.0017 0.3934 1.3682  \n\nCoefficients:\n            Estimate Std. Error z value Pr(&gt;|z|)  \n(Intercept) 1.40342 1.36757 1.026 0.3048  \navailable -0.09518 0.04800 -1.983 0.0474 *\nhp 0.12170 0.06777 1.796 0.0725 .\n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\n(Dispersion parameter for binomial family taken to be 1)\n\n    Null deviance: 43,230 on 31 degrees of freedom\nResidual deviance: 16,713 on 29 degrees of freedom\nAIC: 22,713\n\nNumber of Fisher Scoring iterations: 8\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041f\u043e\u0442\u0456\u043c \u043c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043d\u043e\u0432\u0438\u0439 \u043a\u0430\u0434\u0440 \u0434\u0430\u043d\u0438\u0445, \u0449\u043e \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0456\u044e \u043f\u0440\u043e \u0432\u0456\u0441\u0456\u043c \u0430\u0432\u0442\u043e\u043c\u043e\u0431\u0456\u043b\u0456\u0432, \u044f\u043a\u0438\u0445 \u043c\u043e\u0434\u0435\u043b\u044c \u043d\u0456\u043a\u043e\u043b\u0438 \u0440\u0430\u043d\u0456\u0448\u0435 \u043d\u0435 \u0431\u0430\u0447\u0438\u043b\u0430, \u0456 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e <strong>predict()<\/strong> , \u0449\u043e\u0431 \u043f\u0435\u0440\u0435\u0434\u0431\u0430\u0447\u0438\u0442\u0438 \u0439\u043c\u043e\u0432\u0456\u0440\u043d\u0456\u0441\u0442\u044c \u0442\u043e\u0433\u043e, \u0449\u043e \u043d\u043e\u0432\u0438\u0439 \u0430\u0432\u0442\u043e\u043c\u043e\u0431\u0456\u043b\u044c \u043c\u0430\u0442\u0438\u043c\u0435 \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0447\u043d\u0443 \u043a\u043e\u0440\u043e\u0431\u043a\u0443 \u043f\u0435\u0440\u0435\u0434\u0430\u0447 (am=0) \u0430\u0431\u043e \u043c\u0435\u0445\u0430\u043d\u0456\u0447\u043d\u0443 \u043a\u043e\u0440\u043e\u0431\u043a\u0443 \u043f\u0435\u0440\u0435\u0434\u0430\u0447 ( am =1):<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define new data frame\n<span style=\"color: #000000;\">newdata = data. <span style=\"color: #3366ff;\">frame<\/span> (disp=c(200, 180, 160, 140, 120, 120, 100, 160),\n                     hp=c(100, 90, 108, 90, 80, 90, 80, 90),\n                     am=c(0, 0, 0, 1, 0, 1, 1, 1))\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>newdata\n\n<span style=\"color: #008080;\">#use model to predict value of am for all new cars\n<\/span>newdata$am_prob &lt;- predict(model, newdata, type=\" <span style=\"color: #ff0000;\">response<\/span> \")\n\n<span style=\"color: #008080;\">#view updated data frame\n<\/span>newdata\n\n  disp hp am am_prob\n1 200 100 0 0.004225640\n2 180 90 0 0.008361069\n3 160 108 0 0.335916069\n4 140 90 1 0.275162866\n5 120 80 0 0.429961894\n6 120 90 1 0.718090728\n7 100 80 1 0.835013994\n8 160 90 1 0.053546152<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041e\u0441\u044c \u044f\u043a \u0456\u043d\u0442\u0435\u0440\u043f\u0440\u0435\u0442\u0443\u0432\u0430\u0442\u0438 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u0406\u043c\u043e\u0432\u0456\u0440\u043d\u0456\u0441\u0442\u044c \u0442\u043e\u0433\u043e, \u0449\u043e \u0430\u0432\u0442\u043e\u043c\u043e\u0431\u0456\u043b\u044c 1 \u043c\u0430\u0454 \u043c\u0435\u0445\u0430\u043d\u0456\u0447\u043d\u0443 \u043a\u043e\u0440\u043e\u0431\u043a\u0443 \u043f\u0435\u0440\u0435\u0434\u0430\u0447, \u0434\u043e\u0440\u0456\u0432\u043d\u044e\u0454 <strong>0,004<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u0406\u043c\u043e\u0432\u0456\u0440\u043d\u0456\u0441\u0442\u044c \u0442\u043e\u0433\u043e, \u0449\u043e \u0430\u0432\u0442\u043e\u043c\u043e\u0431\u0456\u043b\u044c 2 \u043c\u0430\u0454 \u043c\u0435\u0445\u0430\u043d\u0456\u0447\u043d\u0443 \u043a\u043e\u0440\u043e\u0431\u043a\u0443 \u043f\u0435\u0440\u0435\u0434\u0430\u0447, \u0434\u043e\u0440\u0456\u0432\u043d\u044e\u0454 <strong>0,008<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u0406\u043c\u043e\u0432\u0456\u0440\u043d\u0456\u0441\u0442\u044c \u0442\u043e\u0433\u043e, \u0449\u043e \u0430\u0432\u0442\u043e\u043c\u043e\u0431\u0456\u043b\u044c 3 \u043c\u0430\u0454 \u043c\u0435\u0445\u0430\u043d\u0456\u0447\u043d\u0443 \u043a\u043e\u0440\u043e\u0431\u043a\u0443 \u043f\u0435\u0440\u0435\u0434\u0430\u0447, \u0434\u043e\u0440\u0456\u0432\u043d\u044e\u0454 <strong>0,336<\/strong> .<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0406 \u0442\u0430\u043a \u0434\u0430\u043b\u0456.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u0442\u0430\u043a\u043e\u0436 \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>table()<\/strong> , \u0449\u043e\u0431 \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043c\u0430\u0442\u0440\u0438\u0446\u044e \u043f\u043b\u0443\u0442\u0430\u043d\u0438\u043d\u0438, \u044f\u043a\u0430 \u0432\u0456\u0434\u043e\u0431\u0440\u0430\u0436\u0430\u0454 \u0444\u0430\u043a\u0442\u0438\u0447\u043d\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f am \u043f\u043e\u0440\u0456\u0432\u043d\u044f\u043d\u043e \u0437\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f\u043c\u0438, \u043f\u0435\u0440\u0435\u0434\u0431\u0430\u0447\u0435\u043d\u0438\u043c\u0438 \u043c\u043e\u0434\u0435\u043b\u043b\u044e:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create vector that contains 0 or 1 depending on predicted value of am\n<span style=\"color: #000000;\">am_pred = rep(0, dim(newdata)[1])\nam_pred[newdata$am_prob &gt; .5] = 1\n\n<span style=\"color: #008080;\">#create confusion matrix\n<\/span>table(am_pred, newdata$am)\n\nam_pred 0 1\n      0 4 2\n      1 0 2\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0440\u0435\u0448\u0442\u0456, \u043c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e <strong>Mean()<\/strong> , \u0449\u043e\u0431 \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0432\u0456\u0434\u0441\u043e\u0442\u043e\u043a \u0441\u043f\u043e\u0441\u0442\u0435\u0440\u0435\u0436\u0435\u043d\u044c \u0443 \u043d\u043e\u0432\u0456\u0439 \u0431\u0430\u0437\u0456 \u0434\u0430\u043d\u0438\u0445, \u0434\u043b\u044f \u044f\u043a\u0438\u0445 \u043c\u043e\u0434\u0435\u043b\u044c \u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u043e \u043f\u0435\u0440\u0435\u0434\u0431\u0430\u0447\u0438\u043b\u0430 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f <strong>am<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate percentage of observations the model correctly predicted response value for\n<span style=\"color: #000000;\">mean(am_pred == newdata$am)\n\n[1] 0.75\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u0431\u0430\u0447\u0438\u043c\u043e, \u0449\u043e \u043c\u043e\u0434\u0435\u043b\u044c \u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u043e \u043f\u0435\u0440\u0435\u0434\u0431\u0430\u0447\u0438\u043b\u0430 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f <strong>am<\/strong> \u0434\u043b\u044f <strong>75%<\/strong> \u0430\u0432\u0442\u043e\u043c\u043e\u0431\u0456\u043b\u0456\u0432 \u0443 \u043d\u043e\u0432\u0456\u0439 \u0431\u0430\u0437\u0456 \u0434\u0430\u043d\u0438\u0445.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u0414\u043e\u0434\u0430\u0442\u043a\u043e\u0432\u0456 \u0440\u0435\u0441\u0443\u0440\u0441\u0438<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0445 \u043f\u043e\u0441\u0456\u0431\u043d\u0438\u043a\u0430\u0445 \u043f\u043e\u044f\u0441\u043d\u044e\u0454\u0442\u044c\u0441\u044f, \u044f\u043a \u0432\u0438\u043a\u043e\u043d\u0443\u0432\u0430\u0442\u0438 \u0456\u043d\u0448\u0456 \u0442\u0438\u043f\u043e\u0432\u0456 \u0437\u0430\u0432\u0434\u0430\u043d\u043d\u044f \u0432 R:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/uk\/\u043f\u0440\u043e\u0441\u0442\u0430-\u043b\u0456\u043d\u0456\u0438\u043d\u0430-\u0440\u0435\u0433\u0440\u0435\u0441\u0456\u044f-\u043f\u043e-r\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0432\u0438\u043a\u043e\u043d\u0430\u0442\u0438 \u043f\u0440\u043e\u0441\u0442\u0443 \u043b\u0456\u043d\u0456\u0439\u043d\u0443 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u044e \u0432 R<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u043c\u043d\u043e\u0436\u0438\u043d\u043d\u0430-\u043b\u0456\u043d\u0456\u0438\u043d\u0430-\u0440\u0435\u0433\u0440\u0435\u0441\u0456\u044f-r\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0432\u0438\u043a\u043e\u043d\u0430\u0442\u0438 \u043c\u043d\u043e\u0436\u0438\u043d\u043d\u0443 \u043b\u0456\u043d\u0456\u0439\u043d\u0443 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u044e \u0432 R<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u043f\u043e\u043b\u0456\u043d\u043e\u043c\u0456\u0430\u043b\u044c\u043d\u0430-\u0440\u0435\u0433\u0440\u0435\u0441\u0456\u044f-r\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0432\u0438\u043a\u043e\u043d\u0430\u0442\u0438 \u043f\u043e\u043b\u0456\u043d\u043e\u043c\u0456\u0430\u043b\u044c\u043d\u0443 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u044e \u0432 R<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u0456\u043d\u0442\u0435\u0440\u0432\u0430\u043b-\u043f\u0440\u043e\u0433\u043d\u043e\u0437\u0443\u0432\u0430\u043d\u043d\u044f-r\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0456\u043d\u0442\u0435\u0440\u0432\u0430\u043b \u043f\u0435\u0440\u0435\u0434\u0431\u0430\u0447\u0435\u043d\u043d\u044f \u0432 R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u041f\u0456\u0441\u043b\u044f \u0442\u043e\u0433\u043e, \u044f\u043a \u043c\u0438 \u0432\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u043b\u0438 \u043c\u043e\u0434\u0435\u043b\u044c \u043b\u043e\u0433\u0456\u0441\u0442\u0438\u0447\u043d\u043e\u0457 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457 \u0432 R, \u043c\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 predict() \u0434\u043b\u044f \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u0443\u0432\u0430\u043d\u043d\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u0456 \u043d\u043e\u0432\u043e\u0433\u043e \u0441\u043f\u043e\u0441\u0442\u0435\u0440\u0435\u0436\u0435\u043d\u043d\u044f, \u044f\u043a\u043e\u0433\u043e \u043c\u043e\u0434\u0435\u043b\u044c \u043d\u0456\u043a\u043e\u043b\u0438 \u0440\u0430\u043d\u0456\u0448\u0435 \u043d\u0435 \u0431\u0430\u0447\u0438\u043b\u0430. \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 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441: predict(object, newdata, type = \u201cresponse\u201d) \u0437\u043e\u043b\u043e\u0442\u043e: \u043e\u0431&#8217;\u0454\u043a\u0442: \u043d\u0430\u0437\u0432\u0430 \u043c\u043e\u0434\u0435\u043b\u0456 \u043b\u043e\u0433\u0456\u0441\u0442\u0438\u0447\u043d\u043e\u0457 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457 newdata: \u0456\u043c&#8217;\u044f \u043d\u043e\u0432\u043e\u0433\u043e \u043a\u0430\u0434\u0440\u0443 \u0434\u0430\u043d\u0438\u0445, \u0434\u043b\u044f \u044f\u043a\u043e\u0433\u043e \u043f\u043e\u0442\u0440\u0456\u0431\u043d\u043e \u0440\u043e\u0431\u0438\u0442\u0438 \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u0438 \u0442\u0438\u043f: \u0442\u0438\u043f [&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 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 predict() \u0456\u0437 \u043c\u043e\u0434\u0435\u043b\u043b\u044e \u043b\u043e\u0433\u0456\u0441\u0442\u0438\u0447\u043d\u043e\u0457 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457 \u0432 R - Statology<\/title>\n<meta name=\"description\" content=\"\u0423 \u0446\u044c\u043e\u043c\u0443 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a\u0443 \u043d\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456 \u043f\u043e\u044f\u0441\u043d\u044e\u0454\u0442\u044c\u0441\u044f, \u044f\u043a \u0440\u043e\u0431\u0438\u0442\u0438 \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u0438 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0456 \u043d\u043e\u0432\u0438\u0445 \u0434\u0430\u043d\u0438\u0445 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u043c\u043e\u0434\u0435\u043b\u0456 \u043b\u043e\u0433\u0456\u0441\u0442\u0438\u0447\u043d\u043e\u0457 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457 \u0432 R.\" \/>\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-\u043f\u0440\u043e\u0433\u043d\u043e\u0437\u0443\u0432\u0430\u043d\u043d\u044f-\u043b\u043e\u0433\u0456\u0441\u0442\u0438\u0447\u043d\u043e\u0456-\u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0456\/\" \/>\n<meta property=\"og:locale\" content=\"uk_UA\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u042f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 predict() \u0456\u0437 \u043c\u043e\u0434\u0435\u043b\u043b\u044e \u043b\u043e\u0433\u0456\u0441\u0442\u0438\u0447\u043d\u043e\u0457 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457 \u0432 R - Statology\" \/>\n<meta property=\"og:description\" content=\"\u0423 \u0446\u044c\u043e\u043c\u0443 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a\u0443 \u043d\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456 \u043f\u043e\u044f\u0441\u043d\u044e\u0454\u0442\u044c\u0441\u044f, \u044f\u043a \u0440\u043e\u0431\u0438\u0442\u0438 \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u0438 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0456 \u043d\u043e\u0432\u0438\u0445 \u0434\u0430\u043d\u0438\u0445 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u043c\u043e\u0434\u0435\u043b\u0456 \u043b\u043e\u0433\u0456\u0441\u0442\u0438\u0447\u043d\u043e\u0457 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457 \u0432 R.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/uk\/r-\u043f\u0440\u043e\u0433\u043d\u043e\u0437\u0443\u0432\u0430\u043d\u043d\u044f-\u043b\u043e\u0433\u0456\u0441\u0442\u0438\u0447\u043d\u043e\u0456-\u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0456\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-11T02:36:29+00:00\" \/>\n<meta name=\"author\" content=\"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u041d\u0430\u043f\u0438\u0441\u0430\u043d\u043e\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u041f\u0440\u0438\u0431\u043b. \u0447\u0430\u0441 \u0447\u0438\u0442\u0430\u043d\u043d\u044f\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u0445\u0432\u0438\u043b\u0438\u043d\u0430\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/uk\/r-%d0%bf%d1%80%d0%be%d0%b3%d0%bd%d0%be%d0%b7%d1%83%d0%b2%d0%b0%d0%bd%d0%bd%d1%8f-%d0%bb%d0%be%d0%b3%d1%96%d1%81%d1%82%d0%b8%d1%87%d0%bd%d0%be%d1%96-%d1%80%d0%b5%d0%b3%d1%80%d0%b5%d1%81%d1%96%d1%96\/\",\"url\":\"https:\/\/statorials.org\/uk\/r-%d0%bf%d1%80%d0%be%d0%b3%d0%bd%d0%be%d0%b7%d1%83%d0%b2%d0%b0%d0%bd%d0%bd%d1%8f-%d0%bb%d0%be%d0%b3%d1%96%d1%81%d1%82%d0%b8%d1%87%d0%bd%d0%be%d1%96-%d1%80%d0%b5%d0%b3%d1%80%d0%b5%d1%81%d1%96%d1%96\/\",\"name\":\"\u042f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 predict() \u0456\u0437 \u043c\u043e\u0434\u0435\u043b\u043b\u044e \u043b\u043e\u0433\u0456\u0441\u0442\u0438\u0447\u043d\u043e\u0457 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457 \u0432 R - 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