{"id":2139,"date":"2023-07-23T12:53:51","date_gmt":"2023-07-23T12:53:51","guid":{"rendered":"https:\/\/statorials.org\/my\/r-%e1%80%80%e1%80%ad%e1%80%af-%e1%80%a1%e1%80%94%e1%80%8a%e1%80%ba%e1%80%b8%e1%80%a1%e1%80%80%e1%80%bb%e1%80%89%e1%80%ba%e1%80%b8%e1%80%99%e1%80%bb%e1%80%be%e1%80%96%e1%80%bc%e1%80%84%e1%80%b7\/"},"modified":"2023-07-23T12:53:51","modified_gmt":"2023-07-23T12:53:51","slug":"r-%e1%80%80%e1%80%ad%e1%80%af-%e1%80%a1%e1%80%94%e1%80%8a%e1%80%ba%e1%80%b8%e1%80%a1%e1%80%80%e1%80%bb%e1%80%89%e1%80%ba%e1%80%b8%e1%80%99%e1%80%bb%e1%80%be%e1%80%96%e1%80%bc%e1%80%84%e1%80%b7","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/r-%e1%80%80%e1%80%ad%e1%80%af-%e1%80%a1%e1%80%94%e1%80%8a%e1%80%ba%e1%80%b8%e1%80%a1%e1%80%80%e1%80%bb%e1%80%89%e1%80%ba%e1%80%b8%e1%80%99%e1%80%bb%e1%80%be%e1%80%96%e1%80%bc%e1%80%84%e1%80%b7\/","title":{"rendered":"R \u1010\u103d\u1004\u103a \u1019\u100a\u103a\u1000\u1032\u1037\u101e\u102d\u102f\u1037 \u1015\u103c\u1004\u103a\u1006\u1004\u103a\u101b\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b"},"content":{"rendered":"

<\/p>\n

\n

R \u1010\u103d\u1004\u103a \u101e\u1004\u103a\u1000\u103c\u102f\u1036\u1010\u103d\u1031\u1037\u101b\u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c \u1021\u1019\u103e\u102c\u1038\u1021\u101a\u103d\u1004\u103a\u1038 \u1019\u1000\u103a\u1006\u1031\u1037\u1001\u103b\u103a\u101e\u100a\u103a-<\/span><\/p>\n

 Coefficients: (1 not defined because of singularities) \n<\/strong><\/pre>\n
 R \u1010\u103d\u1004\u103a glm()<\/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 \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1010\u1005\u103a\u1001\u102f\u1014\u103e\u1004\u1037\u103a \u1021\u1036\u101d\u1004\u103a\u1001\u103d\u1004\u103a\u1000\u103b\u1016\u103c\u1005\u103a\u1001\u103b\u102d\u1014\u103a\u1010\u103d\u1004\u103a \u101e\u1004\u1037\u103a\u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1015\u1031\u1038\u101e\u1030 \u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1014\u103e\u1005\u103a\u1001\u102f \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1011\u102d\u102f\u1037\u1011\u1000\u103a\u1015\u102d\u102f\u101e\u1031\u102c \u1010\u1005\u103a\u1001\u102f\u1014\u103e\u1004\u1037\u103a\u1010\u1005\u103a\u1001\u102f \u1010\u102d\u1000\u103b\u101e\u1031\u102c linear \u1006\u1000\u103a\u1014\u103d\u101a\u103a\u1019\u103e\u102f\u101b\u103e\u102d\u101e\u100a\u103a \u2014 perfect multicollinearity<\/a> \u101f\u102f\u1001\u1031\u102b\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1024\u1021\u1019\u103e\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u1004\u103a\u1006\u1004\u103a\u101b\u1014\u103a\u104a \u1010\u1005\u103a\u1001\u102f\u1014\u103e\u1004\u1037\u103a\u1010\u1005\u103a\u1001\u102f \u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c \u1006\u1000\u103a\u1014\u103d\u101a\u103a\u1019\u103e\u102f\u101b\u103e\u102d\u101e\u1031\u102c \u101e\u1004\u1037\u103a\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u101b\u103e\u102d \u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1001\u103d\u1032\u1001\u103c\u102c\u1038\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u101b\u1014\u103a cor()<\/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\u103c\u102e\u1038 \u1024\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1019\u103b\u102c\u1038\u1011\u1032\u1019\u103e \u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u1019\u103e \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101c\u102d\u102f\u1000\u103a\u1015\u102b\u104b<\/span><\/span><\/p>\n
 \u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1024\u1021\u1019\u103e\u102c\u1038\u1021\u101a\u103d\u1004\u103a\u1038\u1019\u1000\u103a\u1006\u1031\u1037\u1001\u103a\u103b\u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1010\u103d\u1004\u103a \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1000\u102d\u102f\u1004\u103a\u1010\u103d\u101a\u103a\u1016\u103c\u1031\u101b\u103e\u1004\u103a\u1038\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1021\u1019\u103e\u102c\u1038\u1000\u102d\u102f \u1018\u101a\u103a\u101c\u102d\u102f\u1015\u103c\u1014\u103a\u1011\u102f\u1010\u103a\u1019\u101c\u1032\u104b<\/strong><\/h3>\n
 \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a R \u101b\u103e\u102d \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1010\u103d\u1004\u103a \u1011\u1031\u102c\u1000\u103a\u1015\u1036\u1037\u1015\u102d\u102f\u1037\u1006\u1031\u102c\u1004\u103a\u101b\u1031\u1038\u1006\u102d\u102f\u1004\u103a\u101b\u102c \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u1000\u102d\u102f<\/a> \u1010\u1015\u103a\u1006\u1004\u103a\u1011\u102c\u1038\u101e\u100a\u103a\u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n
 #define data\n<\/span>df <- data. frame<\/span> (y = c(0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1),\n                 x1 = c(3, 3, 4, 4, 3, 2, 5, 8, 9, 9, 9, 8, 9, 9, 9),\n                 x2 = c(6, 6, 8, 8, 6, 4, 10, 16, 18, 18, 18, 16, 18, 18, 18),\n                 x3 = c(4, 7, 7, 3, 8, 9, 9, 8, 7, 8, 9, 4, 9, 10, 13))\n\n#fit logistic regression model\n<\/span>model <- glm(y~x1+x2+x3, data=df, family=binomial)\n\n#view model summary\n<\/span>summary(model)\n\nCall:\nglm(formula = y ~ x1 + x2 + x3, family = binomial, data = df)\n\nDeviance Residuals: \n       Min 1Q Median 3Q Max  \n-1.372e-05 -2.110e-08 2.110e-08 2.110e-08 1.575e-05  \n\nCoefficients: (1 not defined because of singularities)\n              Estimate Std. Error z value Pr(>|z|)\n(Intercept) -75.496 176487.031 0.000 1\nx1 14.546 24314.459 0.001 1\nx2 NA NA NA NA\nx3 -2.258 20119.863 0.000 1\n\n(Dispersion parameter for binomial family taken to be 1)\n\n    Null deviance: 2.0728e+01 on 14 degrees of freedom\nResidual deviance: 5.1523e-10 on 12 degrees of freedom\nAIC: 6\n\nNumber of Fisher Scoring iterations: 24\n<\/strong><\/span><\/pre>\n
 coefficient output \u1019\u1011\u103d\u1000\u103a\u1019\u102e\u101c\u1031\u1038\u1019\u103e\u102c \u1019\u1000\u103a\u1006\u1031\u1037\u1001\u103b\u103a\u1000\u102d\u102f \u101c\u1000\u103a\u1001\u1036\u101b\u101b\u103e\u102d\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 Coefficients: (1 not defined because of singularities)\n<\/strong><\/span><\/pre>\n
 \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u101b\u103e\u102d \u1000\u103c\u102d\u102f\u1010\u1004\u103a\u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a \u1014\u103e\u1005\u103a\u1001\u102f \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1011\u102d\u102f\u1011\u1000\u103a\u1015\u102d\u102f\u101e\u1031\u102c \u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c linear \u1006\u1000\u103a\u1014\u103d\u101a\u103a\u1019\u103e\u102f\u101b\u103e\u102d\u1015\u103c\u102e\u1038 \u1011\u102d\u102f\u1037\u1000\u103c\u1031\u102c\u1004\u1037\u103a \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u101b\u103e\u102d \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1000\u102d\u102f \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u104d\u1019\u101b\u1014\u102d\u102f\u1004\u103a\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u1016\u1031\u102c\u103a\u1015\u103c\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u101e\u1030 variable x 2<\/sub><\/strong> \u1021\u1010\u103d\u1000\u103a \u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038 \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u1015\u103c\u102f\u101c\u102f\u1015\u103a\u1014\u102d\u102f\u1004\u103a\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 \u1021\u1019\u103e\u102c\u1038\u1000\u102d\u102f \u1018\u101a\u103a\u101c\u102d\u102f \u1000\u102d\u102f\u1004\u103a\u1010\u103d\u101a\u103a\u1019\u101c\u1032\u104b<\/strong><\/span><\/h3>\n
 \u1024\u1021\u1019\u103e\u102c\u1038\u1000\u102d\u102f \u1016\u103c\u1005\u103a\u1005\u1031\u101e\u1031\u102c \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u101e\u1030 \u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1001\u103d\u1032\u1001\u103c\u102c\u1038\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u101b\u1014\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1006\u1000\u103a\u1005\u1015\u103a\u1019\u1000\u103a\u1011\u101b\u1005\u103a\u1000\u102d\u102f<\/a> \u1011\u102f\u1010\u103a\u101c\u102f\u1015\u103a\u101b\u1014\u103a cor()<\/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\u1014\u102d\u102f\u1004\u103a\u1015\u103c\u102e\u1038 \u1010\u1005\u103a\u1001\u102f\u1014\u103e\u1004\u1037\u103a\u1010\u1005\u103a\u1001\u102f \u1021\u1010\u102d\u1021\u1000\u103b 1<\/strong> \u1006\u1000\u103a\u1005\u1015\u103a\u1019\u103e\u102f\u101b\u103e\u102d\u101e\u100a\u1037\u103a \u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1005\u1005\u103a\u1006\u1031\u1038\u1000\u103c\u100a\u1037\u103a\u101b\u103e\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n
 #create correlation matrix<\/span>\ncor(df)\n\n           y x1 x2 x3\ny 1.0000000 0.9675325 0.9675325 0.3610320\nx1 0.9675325 1.0000000 1.0000000 0.3872889\nx2 0.9675325 1.0000000 1.0000000 0.3872889\nx3 0.3610320 0.3872889 0.3872889 1.0000000\n<\/strong><\/span><\/pre>\n
 \u1006\u1000\u103a\u1005\u1015\u103a matrix \u1019\u103e\u104a variables x 1<\/sub><\/strong> \u1014\u103e\u1004\u1037\u103a x 2<\/sub><\/strong> \u1010\u102d\u102f\u1037\u101e\u100a\u103a \u101c\u102f\u1036\u1038\u101d\u1006\u1000\u103a\u1005\u1015\u103a\u1014\u1031\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1031\u1037\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1024\u1021\u1019\u103e\u102c\u1038\u1000\u102d\u102f\u1016\u103c\u1031\u101b\u103e\u1004\u103a\u1038\u101b\u1014\u103a\u104a \u104e\u1004\u103a\u1038\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u1010\u103d\u1004\u103a \u1021\u1019\u103e\u1014\u103a\u1010\u1000\u101a\u103a\u1011\u1030\u1038\u1001\u103c\u102c\u1038\u101e\u1031\u102c \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1021\u1019\u103e\u102e\u1021\u1001\u102d\u102f\u1000\u1004\u103a\u1038\u101e\u1031\u102c\u1021\u1001\u103b\u1000\u103a\u1021\u101c\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u1019\u103e\u1014\u103a\u1010\u1000\u101a\u103a\u1019\u1015\u1031\u1038\u101e\u100a\u1037\u103a\u1021\u1010\u103d\u1000\u103a\u1000\u103c\u1031\u102c\u1004\u1037\u103a \u1024\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1014\u103e\u1005\u103a\u1001\u102f\u1011\u1032\u1019\u103e\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037 \u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u1005\u103d\u102c\u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a x 2 \u1000\u102d\u102f<\/sub><\/strong> \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1015\u103c\u102e\u1038 \u1021\u1031\u102c\u1000\u103a\u1015\u102b logistic regression model \u1000\u102d\u102f \u1000\u102d\u102f\u1000\u103a\u100a\u102e\u101e\u100a\u103a\u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n
 #fit logistic regression model\n<\/span>model <- glm(y~x1+x3, data=df, family=binomial)\n\n#view model summary\n<\/span>summary(model)\n\nCall:\nglm(formula = y ~ x1 + x3, family = binomial, data = df)\n\nDeviance Residuals: \n       Min 1Q Median 3Q Max  \n-1.372e-05 -2.110e-08 2.110e-08 2.110e-08 1.575e-05  \n\nCoefficients:\n              Estimate Std. Error z value Pr(>|z|)\n(Intercept) -75.496 176487.031 0.000 1\nx1 14.546 24314.459 0.001 1\nx3 -2.258 20119.863 0.000 1\n\n(Dispersion parameter for binomial family taken to be 1)\n\n    Null deviance: 2.0728e+01 on 14 degrees of freedom\nResidual deviance: 5.1523e-10 on 12 degrees of freedom\nAIC: 6\n\nNumber of Fisher Scoring iterations: 24<\/strong><\/span><\/pre>\n
 \u1024\u1010\u1005\u103a\u1000\u103c\u102d\u1019\u103a\u1010\u103d\u1004\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a “ \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1019\u1011\u102c\u1038\u101e\u1031\u102c \u1021\u1014\u100a\u103a\u1038\u1000\u102d\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u103c\u1031\u102c\u1004\u1037\u103a”  \u1021\u1019\u103e\u102c\u1038\u1019\u1000\u103a\u1006\u1031\u1037\u1001\u103b\u103a\u1000\u102d\u102f \u101c\u1000\u103a\u1001\u1036\u101b\u101b\u103e\u102d\u1001\u103c\u1004\u103a\u1038\u1019\u101b\u103e\u102d\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 \u1019\u103e\u1010\u103a\u1001\u103b\u1000\u103a<\/strong> – x 1<\/sub> \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a x 2<\/sub> \u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101e\u100a\u103a\u1016\u103c\u1005\u103a\u1005\u1031 \u1021\u101b\u1031\u1038\u1019\u1000\u103c\u102e\u1038\u1015\u102b\u104b \u1014\u1031\u102c\u1000\u103a\u1006\u102f\u1036\u1038\u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1010\u103d\u1004\u103a \u101e\u1004\u103a\u101e\u102d\u1019\u103a\u1038\u1011\u102c\u1038\u101b\u1014\u103a \u1006\u102f\u1036\u1038\u1016\u103c\u1010\u103a\u1011\u102c\u1038\u101e\u1031\u102c \u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1021\u1010\u103d\u1000\u103a \u1010\u1030\u100a\u102e\u101e\u1031\u102c\u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1001\u103b\u1000\u103a \u1015\u102b\u101d\u1004\u103a\u1019\u100a\u103a\u1016\u103c\u1005\u103a\u1015\u103c\u102e\u1038 \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u104f \u1021\u1036\u101d\u1004\u103a\u1001\u103d\u1004\u103a\u1000\u103b \u1021\u101c\u102f\u1036\u1038\u1005\u102f\u1036\u1000\u1031\u102c\u1004\u103a\u1038\u1019\u103d\u1014\u103a\u1019\u103e\u102f\u101e\u100a\u103a \u1021\u1010\u1030\u1010\u1030\u1015\u1004\u103a\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \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
 \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\u1021\u1019\u103e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1000\u102d\u102f\u1004\u103a\u1010\u103d\u101a\u103a\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a-<\/span><\/p>\n
 R \u1010\u103d\u1004\u103a \u1015\u103c\u1004\u103a\u1006\u1004\u103a\u1014\u100a\u103a\u1038- ExtractVars \u101b\u103e\u102d \u1019\u1019\u103e\u1014\u103a\u1000\u1014\u103a\u101e\u1031\u102c \u1014\u1019\u1030\u1014\u102c\u1015\u102f\u1036\u1005\u1036\u1016\u1031\u102c\u103a\u1019\u103c\u1030\u101c\u102c
 R- argument \u101e\u100a\u103a \u1000\u102d\u1014\u103a\u1038\u1002\u100f\u102c\u1014\u103a\u1038\u1019\u101f\u102f\u1010\u103a\u101e\u101c\u102d\u102f \u101a\u102f\u1010\u1039\u1010\u102d\u101c\u100a\u103a\u1038\u1019\u101f\u102f\u1010\u103a- return na<\/a>
 \u1015\u103c\u1004\u103a\u1006\u1004\u103a\u1014\u100a\u103a\u1038- randomForest.default(m, y, \u2026): \u1014\u102d\u102f\u1004\u103a\u1004\u1036\u1001\u103c\u102c\u1038 \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1001\u1031\u102b\u103a\u1006\u102d\u102f\u1019\u103e\u102f\u1010\u103d\u1004\u103a Na\/NaN\/Inf<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
R \u1010\u103d\u1004\u103a \u101e\u1004\u103a\u1000\u103c\u102f\u1036\u1010\u103d\u1031\u1037\u101b\u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c \u1021\u1019\u103e\u102c\u1038\u1021\u101a\u103d\u1004\u103a\u1038 \u1019\u1000\u103a\u1006\u1031\u1037\u1001\u103b\u103a\u101e\u100a\u103a- Coefficients: (1 not defined because of singularities) R \u1010\u103d\u1004\u103a glm() \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 \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1010\u1005\u103a\u1001\u102f\u1014\u103e\u1004\u1037\u103a \u1021\u1036\u101d\u1004\u103a\u1001\u103d\u1004\u103a\u1000\u103b\u1016\u103c\u1005\u103a\u1001\u103b\u102d\u1014\u103a\u1010\u103d\u1004\u103a \u101e\u1004\u1037\u103a\u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1015\u1031\u1038\u101e\u1030 \u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1014\u103e\u1005\u103a\u1001\u102f \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1011\u102d\u102f\u1037\u1011\u1000\u103a\u1015\u102d\u102f\u101e\u1031\u102c \u1010\u1005\u103a\u1001\u102f\u1014\u103e\u1004\u1037\u103a\u1010\u1005\u103a\u1001\u102f \u1010\u102d\u1000\u103b\u101e\u1031\u102c linear \u1006\u1000\u103a\u1014\u103d\u101a\u103a\u1019\u103e\u102f\u101b\u103e\u102d\u101e\u100a\u103a \u2014 perfect multicollinearity \u101f\u102f\u1001\u1031\u102b\u103a\u101e\u100a\u103a\u104b \u1024\u1021\u1019\u103e\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u1004\u103a\u1006\u1004\u103a\u101b\u1014\u103a\u104a \u1010\u1005\u103a\u1001\u102f\u1014\u103e\u1004\u1037\u103a\u1010\u1005\u103a\u1001\u102f \u1015\u103c\u102e\u1038\u1015\u103c\u100a\u1037\u103a\u1005\u102f\u1036\u101e\u1031\u102c \u1006\u1000\u103a\u1014\u103d\u101a\u103a\u1019\u103e\u102f\u101b\u103e\u102d\u101e\u1031\u102c \u101e\u1004\u1037\u103a\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u101b\u103e\u102d \u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1001\u103d\u1032\u1001\u103c\u102c\u1038\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u101b\u1014\u103a cor() \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\u103c\u102e\u1038 \u1024\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1019\u103b\u102c\u1038\u1011\u1032\u1019\u103e \u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1006\u102f\u1010\u103a\u101a\u102f\u1010\u103a\u1019\u103e\u102f\u1015\u102f\u1036\u1005\u1036\u1019\u103e \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101c\u102d\u102f\u1000\u103a\u1015\u102b\u104b \u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1024\u1021\u1019\u103e\u102c\u1038\u1021\u101a\u103d\u1004\u103a\u1038\u1019\u1000\u103a\u1006\u1031\u1037\u1001\u103a\u103b\u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1010\u103d\u1004\u103a \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1000\u102d\u102f\u1004\u103a\u1010\u103d\u101a\u103a\u1016\u103c\u1031\u101b\u103e\u1004\u103a\u1038\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b \u1021\u1019\u103e\u102c\u1038\u1000\u102d\u102f \u1018\u101a\u103a\u101c\u102d\u102f\u1015\u103c\u1014\u103a\u1011\u102f\u1010\u103a\u1019\u101c\u1032\u104b \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a R […]<\/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":"\nR \u1010\u103d\u1004\u103a \u1015\u103c\u1004\u103a\u1006\u1004\u103a\u1014\u100a\u103a\u1038- \u1021\u1014\u100a\u103a\u1038\u1000\u102d\u1014\u103a\u1038\u1019\u103b\u102c\u1038 - Statorials \u1000\u103c\u1031\u102c\u1004\u1037\u103a \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1019\u1011\u102c\u1038\u1015\u102b\u104b<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a R- Coefficients \u1010\u103d\u1004\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1019\u103e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u102f\u1015\u103c\u1004\u103a\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a- (1 \u1000\u102d\u102f \u1021\u1014\u100a\u103a\u1038\u1000\u102d\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a \u1019\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1011\u102c\u1038)\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-\u1000\u102d\u102f-\u1021\u1014\u100a\u103a\u1038\u1021\u1000\u103b\u1009\u103a\u1038\u1019\u103b\u103e\u1016\u103c\u1004\u1037\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"R \u1010\u103d\u1004\u103a \u1015\u103c\u1004\u103a\u1006\u1004\u103a\u1014\u100a\u103a\u1038- \u1021\u1014\u100a\u103a\u1038\u1000\u102d\u1014\u103a\u1038\u1019\u103b\u102c\u1038 - Statorials \u1000\u103c\u1031\u102c\u1004\u1037\u103a \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1019\u1011\u102c\u1038\u1015\u102b\u104b\" \/>\n<meta property=\"og:description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a R- Coefficients \u1010\u103d\u1004\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1019\u103e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u102f\u1015\u103c\u1004\u103a\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a- (1 \u1000\u102d\u102f \u1021\u1014\u100a\u103a\u1038\u1000\u102d\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a \u1019\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1011\u102c\u1038)\u104b\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/my\/r-\u1000\u102d\u102f-\u1021\u1014\u100a\u103a\u1038\u1021\u1000\u103b\u1009\u103a\u1038\u1019\u103b\u103e\u1016\u103c\u1004\u1037\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-23T12:53:51+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%80%e1%80%ad%e1%80%af-%e1%80%a1%e1%80%94%e1%80%8a%e1%80%ba%e1%80%b8%e1%80%a1%e1%80%80%e1%80%bb%e1%80%89%e1%80%ba%e1%80%b8%e1%80%99%e1%80%bb%e1%80%be%e1%80%96%e1%80%bc%e1%80%84%e1%80%b7\/\",\"url\":\"https:\/\/statorials.org\/my\/r-%e1%80%80%e1%80%ad%e1%80%af-%e1%80%a1%e1%80%94%e1%80%8a%e1%80%ba%e1%80%b8%e1%80%a1%e1%80%80%e1%80%bb%e1%80%89%e1%80%ba%e1%80%b8%e1%80%99%e1%80%bb%e1%80%be%e1%80%96%e1%80%bc%e1%80%84%e1%80%b7\/\",\"name\":\"R \u1010\u103d\u1004\u103a \u1015\u103c\u1004\u103a\u1006\u1004\u103a\u1014\u100a\u103a\u1038- 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