{"id":3014,"date":"2023-07-19T15:30:27","date_gmt":"2023-07-19T15:30:27","guid":{"rendered":"https:\/\/statorials.org\/my\/r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-optim-function-%e1%80%80%e1%80%ad%e1%80%af\/"},"modified":"2023-07-19T15:30:27","modified_gmt":"2023-07-19T15:30:27","slug":"r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-optim-function-%e1%80%80%e1%80%ad%e1%80%af","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-optim-function-%e1%80%80%e1%80%ad%e1%80%af\/","title":{"rendered":"R \u1010\u103d\u1004\u103a \u1021\u1000\u1031\u102c\u1004\u103a\u1038\u1006\u102f\u1036\u1038\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038 (\u1025\u1015\u1019\u102c 2 \u1001\u102f)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u101a\u1031\u1018\u1030\u101a\u103b \u1015\u102d\u102f\u1019\u102d\u102f\u1000\u1031\u102c\u1004\u103a\u1038\u1019\u103d\u1014\u103a\u1021\u1031\u102c\u1004\u103a\u1015\u103c\u102f\u101c\u102f\u1015\u103a\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a R \u1010\u103d\u1004\u103a <strong>\u1021\u1000\u1031\u102c\u1004\u103a\u1038\u1006\u102f\u1036\u1038<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u101e\u1004\u103a\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1024\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1001\u103c\u1031\u1001\u1036 syntax \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u100a\u103a-<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>optim(by, fn, data, ...)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u101b\u103d\u103e\u1031-<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>by<\/strong> : \u1010\u103d\u1004\u103a \u1021\u1000\u1031\u102c\u1004\u103a\u1038\u1006\u102f\u1036\u1038\u1016\u103c\u1005\u103a\u1021\u1031\u102c\u1004\u103a\u1015\u103c\u102f\u101c\u102f\u1015\u103a\u1019\u100a\u1037\u103a \u1018\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038\u104f \u1000\u1014\u1026\u1038\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>fn<\/strong> : \u1021\u1014\u100a\u103a\u1038\u1006\u102f\u1036\u1038 \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1001\u103b\u1032\u1037\u101b\u1014\u103a \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1010\u1005\u103a\u1001\u102f<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>data<\/strong> : \u1012\u1031\u1010\u102c\u1015\u102b\u101b\u103e\u102d\u101e\u1031\u102c R \u1010\u103d\u1004\u103a \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f\u1021\u1019\u100a\u103a<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1001\u103c\u1031\u1021\u1014\u1031\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u1024\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1.<\/strong> linear regression model \u104f coefficients \u1000\u102d\u102f\u101b\u103e\u102c\u1015\u102b\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>2.<\/strong> Quadratic regression model \u104f coefficients \u1000\u102d\u102f\u101b\u103e\u102c\u1015\u102b\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u101e\u103d\u102c\u1038\u1000\u103c\u101b\u1021\u1031\u102c\u1004\u103a!<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u1025\u1015\u1019\u102c 1- linear regression model \u1021\u1010\u103d\u1000\u103a coefficients \u101b\u103e\u102c\u1016\u103d\u1031\u1001\u103c\u1004\u103a\u1038\u104b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1000\u103b\u1014\u103a\u101b\u103e\u102d\u101e\u1031\u102c \u1005\u1010\u102f\u101b\u1014\u103a\u1038\u104f \u1015\u1031\u102b\u1004\u103a\u1038\u101c\u1012\u103a\u1000\u102d\u102f \u101c\u103b\u103e\u1031\u102c\u1037\u1001\u103b\u1001\u103c\u1004\u103a\u1038\u1016\u103c\u1004\u1037\u103a linear regression model \u104f coefficients \u1000\u102d\u102f\u101b\u103e\u102c\u101b\u1014\u103a <strong>optim()<\/strong> function \u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#create data frame\n<\/span>df &lt;- data.frame(x=c(1, 3, 3, 5, 6, 7, 9, 12),\n                 y=c(4, 5, 8, 6, 9, 10, 13, 17))\n\n<span style=\"color: #008080;\">#define function to minimize residual sum of squares\n<\/span>min_residuals &lt;- <span style=\"color: #008000;\">function<\/span> (data, par) {\n                   <span style=\"color: #008000;\">with<\/span> (data, sum((par[1] + par[2] * x - y)^2))\n}\n\n<span style=\"color: #008080;\">#find coefficients of linear regression model\n<\/span>optim(par=c(0, 1), fn=min_residuals, data=df)\n\n$by\n[1] 2.318592 1.162012\n\n$value\n[1] 11.15084\n\n$counts\nfunction gradient \n      79 NA \n\n$convergence\n[1] 0\n\n$message\nNULL\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>$par<\/strong> \u1021\u1031\u102c\u1000\u103a\u1010\u103d\u1004\u103a \u1015\u103c\u1014\u103a\u1015\u1031\u1038\u1011\u102c\u1038\u101e\u1031\u102c \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1021\u1031\u102c\u1000\u103a\u1015\u102b \u1010\u1015\u103a\u1006\u1004\u103a\u1011\u102c\u1038\u101e\u1031\u102c linear regression model \u1000\u102d\u102f \u101b\u1031\u1038\u101e\u102c\u1038\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">y = 2.318 + 1.162x<\/span><\/p>\n<p> <span style=\"color: #000000;\">regression coefficients \u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u101b\u1014\u103a R \u101b\u103e\u102d built-in <strong>lm()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1019\u103e\u1014\u103a\u1000\u1014\u103a\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u1005\u1005\u103a\u1006\u1031\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find coefficients of linear regression model using lm() function\n<span style=\"color: #000000;\">lm(y ~ x, data=df)\n\nCall:\nlm(formula = y ~ x, data = df)\n\nCoefficients:\n(Intercept) x  \n      2,318 1,162\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u1024\u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u101e\u100a\u103a <strong>optim()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1011\u102c\u1038\u101e\u1031\u102c \u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a \u1000\u102d\u102f\u1000\u103a\u100a\u102e\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u1025\u1015\u1019\u102c 2- Quadratic Regression Model \u1021\u1010\u103d\u1000\u103a Coefficients \u101b\u103e\u102c\u1016\u103d\u1031\u1001\u103c\u1004\u103a\u1038\u104b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1000\u103b\u1014\u103a\u101b\u103e\u102d\u101e\u1031\u102c \u1005\u1010\u102f\u101b\u1014\u103a\u1038\u104f \u1015\u1031\u102b\u1004\u103a\u1038\u101c\u1012\u103a\u1000\u102d\u102f \u101c\u103b\u103e\u1031\u102c\u1037\u1001\u103b\u1001\u103c\u1004\u103a\u1038\u1016\u103c\u1004\u1037\u103a <a href=\"https:\/\/statorials.org\/my\/\u101c\u1031\u1038\u1011\u1031\u102c\u1004\u1037\u103a\u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a-r\/\" target=\"_blank\" rel=\"noopener\">\u101c\u1031\u1038\u1011\u1031\u102c\u1004\u1037\u103a\u1015\u102f\u1036\u101e\u100f\u1039\u100d\u102c\u1014\u103a<\/a> \u104f \u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101b\u103e\u102c\u1016\u103d\u1031\u101b\u1014\u103a <strong>optim()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#create data frame<\/span>\ndf &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (x=c(6, 9, 12, 14, 30, 35, 40, 47, 51, 55, 60),\n                 y=c(14, 28, 50, 70, 89, 94, 90, 75, 59, 44, 27))<\/span>\n\n<span style=\"color: #000000;\"><span style=\"color: #008080;\">#define function to minimize residual sum of squares\n<\/span>min_residuals &lt;- <span style=\"color: #008000;\">function<\/span> (data, par) {\n                   <span style=\"color: #008000;\">with<\/span> (data, sum((par[1] + par[2]*x + par[3]*x^2 - y)^2))\n}\n\n<span style=\"color: #008080;\">#find coefficients of quadratic regression model\n<\/span>optim(par=c(0, 0, 0), fn=min_residuals, data=df)\n\n$by\n[1] -18.261320 6.744531 -0.101201\n\n$value\n[1] 309.3412\n\n$counts\nfunction gradient \n     218 NA \n\n$convergence\n[1] 0\n\n$message\nNULL<\/span><\/span><\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>$par<\/strong> \u1021\u1031\u102c\u1000\u103a\u1010\u103d\u1004\u103a \u1015\u103c\u1014\u103a\u1015\u1031\u1038\u1011\u102c\u1038\u101e\u1031\u102c \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1021\u1031\u102c\u1000\u103a\u1015\u102b \u1010\u1015\u103a\u1006\u1004\u103a\u1011\u102c\u1038\u101e\u1031\u102c \u101c\u1031\u1038\u1015\u102f\u1036\u1010\u1015\u102f\u1036 \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f \u1015\u102f\u1036\u1005\u1036\u1000\u102d\u102f \u101b\u1031\u1038\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">y = -18.261 + 6.744x \u2013 0.101x <sup>2<\/sup><\/span><\/p>\n<p> <span style=\"color: #000000;\">R \u1010\u103d\u1004\u103a built-in <strong>lm()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1019\u103e\u1014\u103a\u1000\u1014\u103a\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u1005\u1005\u103a\u1006\u1031\u1038\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#create data frame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (x=c(6, 9, 12, 14, 30, 35, 40, 47, 51, 55, 60),\n                 y=c(14, 28, 50, 70, 89, 94, 90, 75, 59, 44, 27))\n\n<span style=\"color: #008080;\">#create a new variable for x^2\n<\/span>df$x2 &lt;- df$x^2\n\n<span style=\"color: #008080;\">#fit quadratic regression model\n<\/span>quadraticModel &lt;- lm(y ~ x + x2, data=df)\n\n<span style=\"color: #008080;\">#display coefficients of quadratic regression model\n<\/span>summary(quadraticModel)$coef\n\n               Estimate Std. Error t value Pr(&gt;|t|)\n(Intercept) -18.2536400 6.185069026 -2.951243 1.839072e-02\nx 6.7443581 0.485515334 13.891133 6.978849e-07\nx2 -0.1011996 0.007460089 -13.565470 8.378822e-07<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u1024\u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u101e\u100a\u103a <strong>optim()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1011\u102c\u1038\u101e\u1031\u102c \u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a \u1000\u102d\u102f\u1000\u103a\u100a\u102e\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u1011\u1015\u103a\u101c\u1031\u102c\u1004\u103a\u1038\u1021\u101b\u1004\u103a\u1038\u1021\u1019\u103c\u1005\u103a\u1019\u103b\u102c\u1038<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a R \u1010\u103d\u1004\u103a \u1021\u1001\u103c\u102c\u1038\u1018\u102f\u1036\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a-<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/my\/r-\u1010\u103d\u1004\u103a-\u101b\u102d\u102f\u1038\u101b\u102d\u102f\u1038\u1019\u103b\u1009\u103a\u1038\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\/\" target=\"_blank\" rel=\"noopener\">R \u1010\u103d\u1004\u103a \u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u101e\u1031\u102c linear regression \u101c\u102f\u1015\u103a\u1014\u100a\u103a\u1038<\/a><br \/> <a href=\"https:\/\/statorials.org\/my\/multiple-linear-regression-r\/\" target=\"_blank\" rel=\"noopener\">R \u1010\u103d\u1004\u103a linear regression \u1021\u1019\u103b\u102c\u1038\u1021\u1015\u103c\u102c\u1038\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1014\u100a\u103a\u1038<\/a><br \/> <a href=\"https:\/\/statorials.org\/my\/\u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1021\u1011\u103d\u1000\u103a\u1000\u102d\u102f-r-\u1010\u103d\u1004\u103a\u1021\u1014\u1000\u103a\u1015\u103c\u1014\u103a\u1006\u102d\u102f\u1015\u102b\u104b\/\" target=\"_blank\" rel=\"noopener\">R \u1010\u103d\u1004\u103a regression output \u1000\u102d\u102f \u1021\u1013\u102d\u1015\u1039\u1015\u102c\u101a\u103a\u1016\u103d\u1004\u1037\u103a\u1006\u102d\u102f\u1015\u102f\u1036<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u101a\u1031\u1018\u1030\u101a\u103b \u1015\u102d\u102f\u1019\u102d\u102f\u1000\u1031\u102c\u1004\u103a\u1038\u1019\u103d\u1014\u103a\u1021\u1031\u102c\u1004\u103a\u1015\u103c\u102f\u101c\u102f\u1015\u103a\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a R \u1010\u103d\u1004\u103a \u1021\u1000\u1031\u102c\u1004\u103a\u1038\u1006\u102f\u1036\u1038 \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u101e\u1004\u103a\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b \u1024\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1001\u103c\u1031\u1001\u1036 syntax \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u100a\u103a- optim(by, fn, data, &#8230;) \u101b\u103d\u103e\u1031- by : \u1010\u103d\u1004\u103a \u1021\u1000\u1031\u102c\u1004\u103a\u1038\u1006\u102f\u1036\u1038\u1016\u103c\u1005\u103a\u1021\u1031\u102c\u1004\u103a\u1015\u103c\u102f\u101c\u102f\u1015\u103a\u1019\u100a\u1037\u103a \u1018\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038\u104f \u1000\u1014\u1026\u1038\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038 fn : \u1021\u1014\u100a\u103a\u1038\u1006\u102f\u1036\u1038 \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1001\u103b\u1032\u1037\u101b\u1014\u103a \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1010\u1005\u103a\u1001\u102f data : \u1012\u1031\u1010\u102c\u1015\u102b\u101b\u103e\u102d\u101e\u1031\u102c R \u1010\u103d\u1004\u103a \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f\u1021\u1019\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1001\u103c\u1031\u1021\u1014\u1031\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u1024\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a- 1. linear regression model \u104f coefficients \u1000\u102d\u102f\u101b\u103e\u102c\u1015\u102b\u104b 2. Quadratic regression model \u104f coefficients \u1000\u102d\u102f\u101b\u103e\u102c\u1015\u102b\u104b \u101e\u103d\u102c\u1038\u1000\u103c\u101b\u1021\u1031\u102c\u1004\u103a! \u1025\u1015\u1019\u102c [&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>R (\u1025\u1015\u1019\u102c 2 \u1001\u102f) - Statorials \u1010\u103d\u1004\u103a \u1021\u1000\u1031\u102c\u1004\u103a\u1038\u1006\u102f\u1036\u1038\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a R \u1010\u103d\u1004\u103a optim() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102f\u1036\u1000\u102d\u102f \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b\" \/>\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\/my\/r-\u1010\u103d\u1004\u103a-optim-function-\u1000\u102d\u102f\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"R (\u1025\u1015\u1019\u102c 2 \u1001\u102f) - Statorials \u1010\u103d\u1004\u103a \u1021\u1000\u1031\u102c\u1004\u103a\u1038\u1006\u102f\u1036\u1038\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\" \/>\n<meta property=\"og:description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a R \u1010\u103d\u1004\u103a optim() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102f\u1036\u1000\u102d\u102f \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/my\/r-\u1010\u103d\u1004\u103a-optim-function-\u1000\u102d\u102f\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-19T15:30:27+00:00\" \/>\n<meta name=\"author\" content=\"Benjamin Anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin Anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/my\/r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-optim-function-%e1%80%80%e1%80%ad%e1%80%af\/\",\"url\":\"https:\/\/statorials.org\/my\/r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-optim-function-%e1%80%80%e1%80%ad%e1%80%af\/\",\"name\":\"R (\u1025\u1015\u1019\u102c 2 \u1001\u102f) - Statorials \u1010\u103d\u1004\u103a 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