{"id":1161,"date":"2023-07-27T11:00:03","date_gmt":"2023-07-27T11:00:03","guid":{"rendered":"https:\/\/statorials.org\/my\/r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-linear-discriminant-analysis\/"},"modified":"2023-07-27T11:00:03","modified_gmt":"2023-07-27T11:00:03","slug":"r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-linear-discriminant-analysis","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-linear-discriminant-analysis\/","title":{"rendered":"R \u1010\u103d\u1004\u103a \u1010\u1005\u103a\u1015\u103c\u1031\u1038\u100a\u102e \u1001\u103d\u1032\u1001\u103c\u102c\u1038\u1019\u103e\u102f \u1001\u103d\u1032\u1001\u103c\u1019\u103a\u1038\u1005\u102d\u1010\u103a\u1016\u103c\u102c\u1001\u103c\u1004\u103a\u1038 (\u1010\u1005\u103a\u1006\u1004\u1037\u103a\u1015\u103c\u102e\u1038\u1010\u1005\u103a\u1006\u1004\u1037\u103a)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/my\/linear-\u1001\u103d\u1032\u1001\u103c\u102c\u1038\u1019\u103e\u102f-\u1001\u103d\u1032\u1001\u103c\u1019\u103a\u1038\u1005\u102d\u1010\u103a\u1016\u103c\u102c\u1001\u103c\u1004\u103a\u1038\u104b\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u1010\u1005\u103a\u1015\u103c\u1031\u1038\u100a\u102e \u1001\u103d\u1032\u1001\u103c\u102c\u1038\u1019\u103e\u102f \u1001\u103d\u1032\u1001\u103c\u1019\u103a\u1038\u1005\u102d\u1010\u103a\u1016\u103c\u102c\u1001\u103c\u1004\u103a\u1038<\/a> \u101e\u100a\u103a \u101e\u1004\u1037\u103a\u1010\u103d\u1004\u103a \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\u1019\u103b\u102c\u1038 \u1021\u1005\u102f\u1010\u1005\u103a\u1001\u102f\u101b\u103e\u102d\u104d <a href=\"https:\/\/statorials.org\/my\/\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c-\u101b\u103e\u1004\u103a\u1038\u101c\u1004\u103a\u1038\u1001\u103b\u1000\u103a-\u1010\u102f\u1036\u1037\u1015\u103c\u1014\u103a\u1019\u103e\u102f\u1019\u103b\u102c\u1038\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u1010\u102f\u1036\u1037\u1015\u103c\u1014\u103a\u1019\u103e\u102f\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1000\u102d\u102f<\/a> \u1021\u1010\u1014\u103a\u1038\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 \u1021\u1010\u1014\u103a\u1038\u1021\u1005\u102c\u1038\u1019\u103b\u102c\u1038\u1021\u1016\u103c\u1005\u103a \u1001\u103d\u1032\u1001\u103c\u102c\u1038\u101c\u102d\u102f\u101e\u1031\u102c\u1021\u1001\u102b\u1010\u103d\u1004\u103a \u101e\u1004\u103a\u101e\u102f\u1036\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a R \u1010\u103d\u1004\u103a linear discriminant analysis \u1015\u103c\u102f\u101c\u102f\u1015\u103a\u1015\u102f\u1036\u1021\u1006\u1004\u1037\u103a\u1006\u1004\u1037\u103a\u1000\u102d\u102f \u1025\u1015\u1019\u102c\u1015\u1031\u1038\u1011\u102c\u1038\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u1021\u1006\u1004\u1037\u103a 1- \u101c\u102d\u102f\u1021\u1015\u103a\u101e\u1031\u102c\u1005\u102c\u1000\u103c\u100a\u1037\u103a\u1010\u102d\u102f\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1010\u1004\u103a\u1015\u102b\u104b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1015\u1011\u1019\u1026\u1038\u1005\u103d\u102c\u104a \u1024\u1025\u1015\u1019\u102c\u1021\u1010\u103d\u1000\u103a \u101c\u102d\u102f\u1021\u1015\u103a\u101e\u1031\u102c \u1005\u102c\u1000\u103c\u100a\u1037\u103a\u1010\u102d\u102f\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1010\u1004\u103a\u1015\u1031\u1038\u1015\u102b\u1019\u100a\u103a\u104b<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><b><span style=\"color: #993300;\">library<\/span> (MASS)\n<span style=\"color: #993300;\">library<\/span> (ggplot2)<\/b><\/span><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u1021\u1006\u1004\u1037\u103a 2: \u1012\u1031\u1010\u102c\u1000\u102d\u102f \u1010\u1004\u103a\u1015\u102b\u104b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1024\u1025\u1015\u1019\u102c\u1021\u1010\u103d\u1000\u103a\u104a R \u1010\u103d\u1004\u103a\u1010\u100a\u103a\u1006\u1031\u102c\u1000\u103a\u1011\u102c\u1038\u101e\u1031\u102c <strong>iris<\/strong> dataset \u1000\u102d\u102f\u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102b\u1019\u100a\u103a\u104b \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1024\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1000\u102d\u102f\u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1010\u1004\u103a\u101b\u1014\u103a\u1014\u103e\u1004\u1037\u103a\u1015\u103c\u101e\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;\">#attach <em>iris<\/em> dataset to make it easy to work with<\/span>\nattach(iris)\n\n<span style=\"color: #008080;\">#view structure of dataset\n<\/span>str(iris)\n\n'data.frame': 150 obs. of 5 variables:\n $ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...\n $ Sepal.Width: num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...\n $Petal.Length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...\n $Petal.Width: num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...\n $ Species: Factor w\/ 3 levels \"setosa\",\"versicolor\",..: 1 1 1 1 1 1 1 ...\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1010\u103d\u1004\u103a \u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a \u1045 \u1001\u102f\u1014\u103e\u1004\u1037\u103a \u1005\u102f\u1005\u102f\u1015\u1031\u102b\u1004\u103a\u1038 \u1005\u1031\u102c\u1004\u1037\u103a\u1000\u103c\u100a\u1037\u103a\u1019\u103e\u102f \u1041\u1045\u1040 \u1015\u102b\u1040\u1004\u103a\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<p> <span style=\"color: #000000;\">\u1024\u1025\u1015\u1019\u102c\u1021\u1010\u103d\u1000\u103a\u104a \u1015\u1031\u1038\u1011\u102c\u1038\u101e\u1031\u102c\u1015\u1014\u103a\u1038\u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1000\u102d\u102f \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1001\u103d\u1032\u1001\u103c\u102c\u1038\u101b\u1014\u103a linear discriminant analysis model \u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1010\u100a\u103a\u1006\u1031\u102c\u1000\u103a\u1015\u102b\u1019\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1010\u103d\u1004\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b \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\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102b\u1019\u100a\u103a-<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Sepal.Length<\/span><\/li>\n<li> <span style=\"color: #000000;\">Sepal.Width<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u1015\u1014\u103a\u1038\u1015\u103d\u1004\u1037\u103a\u104b\u1021\u101b\u103e\u100a\u103a<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u1015\u1014\u103a\u1038\u1015\u103d\u1004\u1037\u103a\u104b\u1021\u1000\u103b\u101a\u103a<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1016\u103c\u1005\u103a\u1014\u102d\u102f\u1004\u103a\u1001\u103b\u1031\u101b\u103e\u102d\u101e\u1031\u102c \u1021\u1010\u1014\u103a\u1038\u101e\u102f\u1036\u1038\u1019\u103b\u102d\u102f\u1038\u1021\u102c\u1038 \u1015\u1036\u1037\u1015\u102d\u102f\u1038\u1015\u1031\u1038\u101e\u100a\u1037\u103a <em>Species<\/em> response variable \u1000\u102d\u102f \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u101b\u1014\u103a \u104e\u1004\u103a\u1038\u1010\u102d\u102f\u1037\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102b\u1019\u100a\u103a\u104b<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">setosa<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u1005\u103d\u101a\u103a\u1005\u102f\u1036\u101b\u1031\u102c\u1004\u103a<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u1017\u102c\u1002\u103b\u102e\u1038\u1014\u102e\u1038\u101a\u102c\u1038<\/span><\/li>\n<\/ul>\n<h3> <span style=\"color: #000000;\"><strong>\u1021\u1006\u1004\u1037\u103a 3: \u1012\u1031\u1010\u102c\u1000\u102d\u102f\u1005\u1000\u1031\u1038\u1001\u103b\u1015\u102b\u104b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1019\u103b\u1009\u103a\u1038\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1001\u103d\u1032\u1001\u103c\u102c\u1038\u1019\u103e\u102f\u1001\u103d\u1032\u1001\u103c\u1019\u103a\u1038\u1005\u102d\u1010\u103a\u1016\u103c\u102c\u1019\u103e\u102f\u104f \u1021\u1013\u102d\u1000\u101a\u1030\u1006\u1001\u103b\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u1019\u103e\u102c \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u101e\u1030\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1010\u103d\u1004\u103a \u1010\u1030\u100a\u102e\u101e\u1031\u102c\u1000\u103d\u1032\u101c\u103d\u1032\u1019\u103e\u102f\u101b\u103e\u102d\u1001\u103c\u1004\u103a\u1038\u1015\u1004\u103a\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b \u1024\u101a\u1030\u1006\u1001\u103b\u1000\u103a\u1014\u103e\u1004\u1037\u103a\u1000\u102d\u102f\u1000\u103a\u100a\u102e\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u101e\u1031\u1001\u103b\u102c\u1005\u1031\u101b\u1014\u103a \u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u101e\u1031\u102c\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1019\u103e\u102c \u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1010\u103d\u1004\u103a \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e 0 \u1014\u103e\u1004\u1037\u103a 1 \u104f \u1005\u1036\u101e\u103d\u1031\u1016\u100a\u103a\u1019\u103e\u102f\u101b\u103e\u102d\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u1005\u1000\u1031\u1038\u1010\u102d\u102f\u1004\u103a\u1038\u1010\u102c\u101b\u1014\u103a\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>scale()<\/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 R \u1010\u103d\u1004\u103a \u101c\u103b\u1004\u103a\u1019\u103c\u1014\u103a\u1005\u103d\u102c \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#scale each predictor variable (ie first 4 columns)\n<\/span>iris[1:4] &lt;- scale(iris[1:4])\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u101e\u1030 variable \u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1010\u103d\u1004\u103a 0 \u1014\u103e\u1004\u1037\u103a <a href=\"https:\/\/statorials.org\/my\/r-\u1010\u103d\u1004\u103a-\u1005\u1036\u101e\u103d\u1031\u1016\u100a\u103a\u101e\u100a\u103a\u104b\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u1005\u1036\u101e\u103d\u1031\u1016\u100a\u103a\u1019\u103e\u102f<\/a> 1 \u101b\u103e\u102d\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u1005\u1005\u103a\u1006\u1031\u1038\u101b\u1014\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a <a href=\"https:\/\/statorials.org\/my\/lapply-sapply-\u1014\u103e\u1004\u1037\u103a-tapply-r-\u1016\u103c\u1004\u1037\u103a-\u1021\u101e\u102f\u1036\u1038\u1001\u103b\u101b\u1014\u103a-\u101c\u1019\u103a\u1038\u100a\u103d\u103e\u1014\u103a\/\" target=\"_blank\" rel=\"noopener noreferrer\">apply() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f<\/a> \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\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;\">#find mean of each predictor variable\n<\/span>apply(iris[1:4], 2, mean)\n\n Sepal.Length Sepal.Width Petal.Length Petal.Width \n-4.484318e-16 2.034094e-16 -2.895326e-17 -3.663049e-17 \n\n<span style=\"color: #008080;\">#find standard deviation of each predictor variable\n<\/span>apply(iris[1:4], 2, sd) \n\nSepal.Length Sepal.Width Petal.Length Petal.Width \n           1 1 1 1\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u1021\u1006\u1004\u1037\u103a 4- \u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u101b\u1031\u1038\u1014\u103e\u1004\u1037\u103a \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038 \u1016\u1014\u103a\u1010\u102e\u1038\u1015\u102b\u104b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1011\u102d\u102f\u1037\u1014\u1031\u102c\u1000\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a dataset \u1021\u102c\u1038 \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1000\u102d\u102f\u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u101b\u1014\u103a \u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u101b\u1031\u1038\u1021\u1005\u102f\u1010\u1005\u103a\u1001\u102f\u1021\u1016\u103c\u1005\u103a \u1001\u103d\u1032\u1015\u103c\u102e\u1038 \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1021\u102c\u1038 \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1019\u103e\u102f\u1010\u1005\u103a\u1001\u102f\u1021\u1016\u103c\u1005\u103a \u1001\u103d\u1032\u101e\u103d\u102c\u1038\u1015\u102b\u1019\u100a\u103a\u104b<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#make this example reproducible\n<\/span>set.seed(1)\n\n<span style=\"color: #008080;\">#Use 70% of dataset as training set and remaining 30% as testing set\n<\/span>sample &lt;- sample(c( <span style=\"color: #008000;\">TRUE<\/span> , <span style=\"color: #008000;\">FALSE<\/span> ), <span style=\"color: #3366ff;\">nrow<\/span> (iris), <span style=\"color: #3366ff;\">replace<\/span> = <span style=\"color: #008000;\">TRUE<\/span> , <span style=\"color: #3366ff;\">prob<\/span> =c(0.7,0.3))\ntrain &lt;- iris[sample, ]\ntest &lt;- iris[!sample, ] \n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u1021\u1006\u1004\u1037\u103a 5- LDA \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1000\u102d\u102f \u1001\u103b\u102d\u1014\u103a\u100a\u103e\u102d\u1015\u102b\u104b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1011\u102d\u102f\u1037\u1014\u1031\u102c\u1000\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u104f\u1012\u1031\u1010\u102c\u101e\u102d\u102f\u1037 LDA \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1000\u102d\u102f \u101c\u102d\u102f\u1000\u103a\u101c\u103b\u1031\u102c\u100a\u102e\u1011\u103d\u1031\u1016\u103c\u1005\u103a\u1021\u1031\u102c\u1004\u103a <strong>MASS<\/strong> \u1021\u1011\u102f\u1015\u103a\u1019\u103e <a href=\"https:\/\/www.rdocumentation.org\/packages\/MASS\/versions\/7.3-53\/topics\/lda\" target=\"_blank\" rel=\"noopener noreferrer\">lda() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f<\/a> \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102b\u1019\u100a\u103a\u104b<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit LDA model\n<\/span>model &lt;- lda(Species~., data=train)\n\n<span style=\"color: #008080;\">#view model output<\/span>\nmodel\n\nCall:\nlda(Species ~ ., data = train)\n\nPrior probabilities of groups:\n    setosa versicolor virginica \n 0.3207547 0.3207547 0.3584906 \n\nGroup means:\n           Sepal.Length Sepal.Width Petal.Length Petal.Width\nsetosa -1.0397484 0.8131654 -1.2891006 -1.2570316\nversicolor 0.1820921 -0.6038909 0.3403524 0.2208153\nvirginica 0.9582674 -0.1919146 1.0389776 1.1229172\n\nCoefficients of linear discriminants:\n                    LD1 LD2\nSepal.Length 0.7922820 0.5294210\nSepal.Width 0.5710586 0.7130743\nPetal.Length -4.0762061 -2.7305131\nPetal.Width -2.0602181 2.6326229\n\nProportion of traces:\n   LD1 LD2 \n0.9921 0.0079 \n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u1019\u1031\u102c\u103a\u1012\u101a\u103a\u101b\u101c\u1012\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u1013\u102d\u1015\u1039\u1015\u102c\u101a\u103a\u1016\u103d\u1004\u1037\u103a\u1006\u102d\u102f\u1015\u102f\u1036\u1019\u103e\u102c \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1010\u102d\u102f\u1004\u103a\u1038\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u1000\u103c\u102d\u102f\u1010\u1004\u103a\u1016\u103c\u1005\u103a\u1014\u102d\u102f\u1004\u103a\u1001\u103b\u1031\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u102f\u1015\u103a\u1005\u102f\u1016\u103d\u1032\u1037\u1015\u102b-<\/strong> \u104e\u1004\u103a\u1038\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u101b\u1031\u1038\u1021\u1005\u102f\u1036\u101b\u103e\u102d \u1019\u103b\u102d\u102f\u1038\u1005\u102d\u1010\u103a\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u104f \u1021\u1001\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1000\u102d\u102f\u101a\u103a\u1005\u102c\u1038\u1015\u103c\u102f\u101e\u100a\u103a\u104b \u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a \u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u1019\u103e\u102f\u1021\u1005\u102f\u1036\u1010\u103d\u1004\u103a \u101c\u1031\u1037\u101c\u102c\u1010\u103d\u1031\u1037\u101b\u103e\u102d\u1001\u103b\u1000\u103a\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u104f \u1043\u1045.\u1048%\u101e\u100a\u103a <em>virginica<\/em> \u1019\u103b\u102d\u102f\u1038\u1005\u102d\u1010\u103a\u1021\u1010\u103d\u1000\u103a\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u1021\u102f\u1015\u103a\u1005\u102f\u1015\u103b\u103e\u1019\u103a\u1038\u1019\u103b\u103e\u1019\u103b\u102c\u1038-<\/strong> \u1024\u1021\u101b\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1019\u103b\u102d\u102f\u1038\u1005\u102d\u1010\u103a\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1021\u1010\u103d\u1000\u103a \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1015\u1031\u1038\u101e\u1030 variable \u1010\u1005\u103a\u1001\u102f\u1005\u102e\u104f \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u1031\u102c\u103a\u1015\u103c\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Linear Discriminant Coefficients-<\/strong> \u104e\u1004\u103a\u1038\u1010\u102d\u102f\u1037\u101e\u100a\u103a LDA \u1019\u1031\u102c\u103a\u1012\u101a\u103a \u1006\u102f\u1036\u1038\u1016\u103c\u1010\u103a\u1001\u103b\u1000\u103a\u1005\u100a\u103a\u1038\u1019\u103b\u1009\u103a\u1038\u1000\u102d\u102f \u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u101b\u1014\u103a \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u100a\u1037\u103a \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\u1019\u103b\u102c\u1038 \u1015\u1031\u102b\u1004\u103a\u1038\u1005\u1015\u103a\u1019\u103e\u102f\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a\u104b \u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u103a\u1037:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>LD1:<\/strong> 0.792 * sepal length + 0.571 * sepal width \u2013 4.076 * \u1015\u103d\u1004\u1037\u103a\u1001\u103b\u1015\u103a\u1021\u101b\u103e\u100a\u103a \u2013 2.06 * \u1015\u103d\u1004\u1037\u103a\u1001\u103b\u1015\u103a\u1021\u1000\u103b\u101a\u103a<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>LD2:<\/strong> 0.529 * sepal length + 0.713 * sepal width \u2013 2.731 * \u1015\u103d\u1004\u1037\u103a\u1001\u103b\u1015\u103a\u1021\u101b\u103e\u100a\u103a + 2.63 * \u1015\u103d\u1004\u1037\u103a\u1001\u103b\u1015\u103a \u1021\u1000\u103b\u101a\u103a<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>\u1001\u103c\u1031\u101b\u102c\u1001\u1036\u1021\u1001\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038-<\/strong> \u104e\u1004\u103a\u1038\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1019\u103b\u1009\u103a\u1038\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1001\u103d\u1032\u1001\u103c\u102c\u1038\u1019\u103e\u102f\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1019\u103e\u102f\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1019\u103e\u101b\u101b\u103e\u102d\u101e\u1031\u102c \u1001\u103d\u1032\u1011\u103d\u1000\u103a\u1001\u103c\u1004\u103a\u1038\u101b\u102c\u1001\u102d\u102f\u1004\u103a\u1014\u103e\u102f\u1014\u103a\u1038\u1000\u102d\u102f\u1015\u103c\u101e\u101e\u100a\u103a\u104b<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u1021\u1006\u1004\u1037\u103a 6- \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u102f\u101c\u102f\u1015\u103a\u101b\u1014\u103a \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102b\u104b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u104f\u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u101b\u1031\u1038\u1012\u1031\u1010\u102c\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1000\u102d\u102f \u1010\u1015\u103a\u1006\u1004\u103a\u1015\u103c\u102e\u1038\u101e\u100a\u103a\u1014\u103e\u1004\u1037\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u104f \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1012\u1031\u1010\u102c\u1000\u102d\u102f \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u101b\u1014\u103a \u104e\u1004\u103a\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\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;\">#use LDA model to make predictions on test data\n<\/span>predicted &lt;- <span style=\"color: #3366ff;\">predict<\/span> (model, test)\n\nnames(predicted)\n\n[1] \"class\" \"posterior\" \"x\"   \n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a \u101e\u102f\u1036\u1038\u1001\u102f\u1015\u102b\u101e\u1031\u102c \u1005\u102c\u101b\u1004\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u1014\u103a\u1015\u1031\u1038\u101e\u100a\u103a-<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>\u1021\u1010\u1014\u103a\u1038-<\/strong> \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1011\u102c\u1038\u101e\u1031\u102c \u1021\u1010\u1014\u103a\u1038<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>posterior-<\/strong> \u101c\u1031\u1037\u101c\u102c\u1019\u103e\u102f\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u101e\u100a\u103a \u1021\u1010\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1014\u103e\u1004\u1037\u103a\u101e\u1000\u103a\u1006\u102d\u102f\u1004\u103a\u101e\u100a\u1037\u103a <a href=\"https:\/\/statorials.org\/my\/\u1014\u1031\u102c\u1000\u103a\u1016\u103c\u1005\u103a\u1014\u102d\u102f\u1004\u103a\u1001\u103c\u1031\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u1014\u1031\u102c\u1000\u103a\u1006\u1000\u103a\u1010\u103d\u1032\u1016\u103c\u1005\u103a\u1014\u102d\u102f\u1004\u103a\u1001\u103c\u1031<\/a><\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>x-<\/strong> \u1010\u1005\u103a\u1015\u103c\u1031\u1038\u100a\u102e \u1001\u103d\u1032\u1001\u103c\u102c\u1038\u1019\u103e\u102f\u1019\u103b\u102c\u1038<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u104f \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1010\u103d\u1004\u103a \u1015\u1011\u1019\u1001\u103c\u1031\u102c\u1000\u103a\u1001\u103b\u1000\u103a\u101c\u1031\u1037\u101c\u102c\u1001\u103b\u1000\u103a\u1021\u1010\u103d\u1000\u103a \u1024\u101b\u101c\u1012\u103a\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037 \u101c\u103b\u1004\u103a\u1019\u103c\u1014\u103a\u1005\u103d\u102c\u1019\u103c\u1004\u103a\u101a\u1031\u102c\u1004\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view predicted class for first six observations in test set\n<\/span>head(predicted$class)\n\n[1] setosa setosa setosa setosa setosa setosa\nLevels: setosa versicolor virginica\n\n<span style=\"color: #008080;\">#view posterior probabilities for first six observations in test set<\/span>\nhead(predicted$posterior)\n\n   setosa versicolor virginica\n4 1 2.425563e-17 1.341984e-35\n6 1 1.400976e-21 4.482684e-40\n7 1 3.345770e-19 1.511748e-37\n15 1 6.389105e-31 7.361660e-53\n17 1 1.193282e-25 2.238696e-45\n18 1 6.445594e-22 4.894053e-41\n\n<span style=\"color: #008080;\">#view linear discriminants for first six observations in test set\n<\/span>head(predicted$x)\n\n         LD1 LD2\n4 7.150360 -0.7177382\n6 7.961538 1.4839408\n7 7.504033 0.2731178\n15 10.170378 1.9859027\n17 8.885168 2.1026494\n18 8.113443 0.7563902\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">LDA \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u101e\u100a\u103a \u1019\u103b\u102d\u102f\u1038\u1005\u102d\u1010\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u103e\u1014\u103a\u1000\u1014\u103a\u1005\u103d\u102c \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1015\u1031\u1038\u101e\u100a\u1037\u103a \u101c\u1031\u1037\u101c\u102c\u1010\u103d\u1031\u1037\u101b\u103e\u102d\u1019\u103e\u102f \u101b\u102c\u1001\u102d\u102f\u1004\u103a\u1014\u103e\u102f\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1021\u1010\u103d\u1000\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u1000\u102d\u102f \u101e\u102f\u1036\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find accuracy of model\n<\/span>mean(predicted$class==test$Species)\n\n[1] 1<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u104f\u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u101b\u103e\u102d \u1005\u1030\u1038\u1005\u1019\u103a\u1038\u101c\u1031\u1037\u101c\u102c\u1019\u103e\u102f\u1019\u103b\u102c\u1038\u104f <strong>100%<\/strong> \u1021\u1010\u103d\u1000\u103a \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u101e\u100a\u103a \u1019\u103b\u102d\u102f\u1038\u1005\u102d\u1010\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u103e\u1014\u103a\u1000\u1014\u103a\u1005\u103d\u102c \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1015\u1031\u1038\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u1011\u103d\u1000\u103a\u1015\u1031\u102b\u103a\u101c\u102c\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1000\u1019\u1039\u1018\u102c\u1010\u103d\u1004\u103a\u104a LDA \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u101e\u100a\u103a \u1021\u1010\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u104f \u101b\u101c\u1012\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u103e\u1014\u103a\u1000\u1014\u103a\u1005\u103d\u102c \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u101c\u1031\u1037\u1019\u101b\u103e\u102d\u101e\u1031\u102c\u103a\u101c\u100a\u103a\u1038 \u1024\u1019\u103b\u1000\u103a\u101d\u1014\u103a\u1038\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1000\u102d\u102f \u1005\u1000\u103a\u101e\u1004\u103a\u101a\u1030\u1019\u103e\u102f \u1021\u101a\u103a\u101c\u1002\u102d\u102f\u101b\u102e\u101e\u1019\u103a\u1019\u103b\u102c\u1038 \u1000\u1031\u102c\u1004\u103a\u1038\u1019\u103d\u1014\u103a\u1005\u103d\u102c\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u101c\u1031\u1037\u101b\u103e\u102d\u101e\u100a\u1037\u103a \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1016\u103c\u1004\u1037\u103a \u101b\u102d\u102f\u1038\u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u101b\u103e\u1004\u103a\u1038\u1010\u100a\u103a\u1006\u1031\u102c\u1000\u103a\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u1021\u1006\u1004\u1037\u103a 7- \u101b\u101c\u1012\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u103c\u1004\u103a\u101a\u1031\u102c\u1004\u103a\u1000\u103c\u100a\u1037\u103a\u1015\u102b\u104b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1014\u1031\u102c\u1000\u103a\u1006\u102f\u1036\u1038\u1010\u103d\u1004\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u104f \u1010\u1005\u103a\u1015\u103c\u1031\u1038\u100a\u102e \u1001\u103d\u1032\u1001\u103c\u102c\u1038\u1006\u1000\u103a\u1006\u1036\u1019\u103e\u102f\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u103c\u1004\u103a\u101e\u102c\u1005\u1031\u101b\u1014\u103a LDA \u1000\u103c\u1036\u1005\u100a\u103a\u1019\u103e\u102f\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u102d\u102f\u1004\u103a\u1015\u103c\u102e\u1038 \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u104f\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1010\u103d\u1004\u103a \u1019\u1010\u1030\u100a\u102e\u101e\u1031\u102c\u1019\u103b\u102d\u102f\u1038\u1005\u102d\u1010\u103a\u101e\u102f\u1036\u1038\u1019\u103b\u102d\u102f\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u1019\u103b\u103e\u1000\u1031\u102c\u1004\u103a\u1038\u1005\u103d\u102c \u1015\u102d\u102f\u1004\u103a\u1038\u1001\u103c\u102c\u1038\u1011\u102c\u1038\u101e\u100a\u103a\u1000\u102d\u102f \u1019\u103c\u1004\u103a\u101a\u1031\u102c\u1004\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define data to plot\n<\/span>lda_plot &lt;- cbind(train, predict(model)$x)\n\n<span style=\"color: #008080;\">#createplot\n<\/span>ggplot(lda_plot, <span style=\"color: #3366ff;\">aes<\/span> (LD1, LD2)) +\n  geom_point( <span style=\"color: #3366ff;\">aes<\/span> (color=Species))\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11639 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lda_r1.png\" alt=\"R \u1010\u103d\u1004\u103a Linear Discriminant Analysis\" width=\"431\" height=\"427\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1011\u102c\u1038\u101e\u1031\u102c R \u1000\u102f\u1012\u103a\u1021\u1015\u103c\u100a\u1037\u103a\u1021\u1005\u102f\u1036\u1000\u102d\u102f <a href=\"https:\/\/github.com\/Statorials\/R-Guides\/blob\/main\/linear_discriminant_analysis\" target=\"_blank\" rel=\"noopener noreferrer\">\u1024\u1014\u1031\u101b\u102c\u1010\u103d\u1004\u103a<\/a> \u101e\u1004\u103a\u1010\u103d\u1031\u1037\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u1010\u1005\u103a\u1015\u103c\u1031\u1038\u100a\u102e \u1001\u103d\u1032\u1001\u103c\u102c\u1038\u1019\u103e\u102f \u1001\u103d\u1032\u1001\u103c\u1019\u103a\u1038\u1005\u102d\u1010\u103a\u1016\u103c\u102c\u1001\u103c\u1004\u103a\u1038 \u101e\u100a\u103a \u101e\u1004\u1037\u103a\u1010\u103d\u1004\u103a \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\u1019\u103b\u102c\u1038 \u1021\u1005\u102f\u1010\u1005\u103a\u1001\u102f\u101b\u103e\u102d\u104d \u1010\u102f\u1036\u1037\u1015\u103c\u1014\u103a\u1019\u103e\u102f\u1000\u102d\u1014\u103a\u1038\u101b\u103e\u1004\u103a\u1000\u102d\u102f \u1021\u1010\u1014\u103a\u1038\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 \u1021\u1010\u1014\u103a\u1038\u1021\u1005\u102c\u1038\u1019\u103b\u102c\u1038\u1021\u1016\u103c\u1005\u103a \u1001\u103d\u1032\u1001\u103c\u102c\u1038\u101c\u102d\u102f\u101e\u1031\u102c\u1021\u1001\u102b\u1010\u103d\u1004\u103a \u101e\u1004\u103a\u101e\u102f\u1036\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b \u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a R \u1010\u103d\u1004\u103a linear discriminant analysis \u1015\u103c\u102f\u101c\u102f\u1015\u103a\u1015\u102f\u1036\u1021\u1006\u1004\u1037\u103a\u1006\u1004\u1037\u103a\u1000\u102d\u102f \u1025\u1015\u1019\u102c\u1015\u1031\u1038\u1011\u102c\u1038\u1015\u102b\u101e\u100a\u103a\u104b \u1021\u1006\u1004\u1037\u103a 1- \u101c\u102d\u102f\u1021\u1015\u103a\u101e\u1031\u102c\u1005\u102c\u1000\u103c\u100a\u1037\u103a\u1010\u102d\u102f\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1010\u1004\u103a\u1015\u102b\u104b \u1015\u1011\u1019\u1026\u1038\u1005\u103d\u102c\u104a \u1024\u1025\u1015\u1019\u102c\u1021\u1010\u103d\u1000\u103a \u101c\u102d\u102f\u1021\u1015\u103a\u101e\u1031\u102c \u1005\u102c\u1000\u103c\u100a\u1037\u103a\u1010\u102d\u102f\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1010\u1004\u103a\u1015\u1031\u1038\u1015\u102b\u1019\u100a\u103a\u104b library (MASS) library (ggplot2) \u1021\u1006\u1004\u1037\u103a 2: \u1012\u1031\u1010\u102c\u1000\u102d\u102f \u1010\u1004\u103a\u1015\u102b\u104b \u1024\u1025\u1015\u1019\u102c\u1021\u1010\u103d\u1000\u103a\u104a R \u1010\u103d\u1004\u103a\u1010\u100a\u103a\u1006\u1031\u102c\u1000\u103a\u1011\u102c\u1038\u101e\u1031\u102c iris dataset \u1000\u102d\u102f\u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102b\u1019\u100a\u103a\u104b \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1024\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1000\u102d\u102f\u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1010\u1004\u103a\u101b\u1014\u103a\u1014\u103e\u1004\u1037\u103a\u1015\u103c\u101e\u101b\u1019\u100a\u103a\u1000\u102d\u102f\u1015\u103c\u101e\u101e\u100a\u103a- #attach iris dataset to make it easy [&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 \u1010\u103d\u1004\u103a \u1010\u1005\u103a\u1015\u103c\u1031\u1038\u100a\u102e \u1001\u103d\u1032\u1001\u103c\u102c\u1038\u1019\u103e\u102f \u1001\u103d\u1032\u1001\u103c\u1019\u103a\u1038\u1005\u102d\u1010\u103a\u1016\u103c\u102c\u1001\u103c\u1004\u103a\u1038 (\u1010\u1005\u103a\u1006\u1004\u1037\u103a\u1015\u103c\u102e\u1038\u1010\u1005\u103a\u1006\u1004\u1037\u103a)<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1021\u1006\u1004\u1037\u103a\u1006\u1004\u1037\u103a\u1025\u1015\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1021\u1015\u102b\u1021\u101d\u1004\u103a R \u1010\u103d\u1004\u103a linear discriminant analysis \u101c\u102f\u1015\u103a\u1014\u100a\u103a\u1038\u1000\u102d\u102f \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-linear-discriminant-analysis\/\" \/>\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 \u1010\u1005\u103a\u1015\u103c\u1031\u1038\u100a\u102e \u1001\u103d\u1032\u1001\u103c\u102c\u1038\u1019\u103e\u102f \u1001\u103d\u1032\u1001\u103c\u1019\u103a\u1038\u1005\u102d\u1010\u103a\u1016\u103c\u102c\u1001\u103c\u1004\u103a\u1038 (\u1010\u1005\u103a\u1006\u1004\u1037\u103a\u1015\u103c\u102e\u1038\u1010\u1005\u103a\u1006\u1004\u1037\u103a)\" \/>\n<meta property=\"og:description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1021\u1006\u1004\u1037\u103a\u1006\u1004\u1037\u103a\u1025\u1015\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1021\u1015\u102b\u1021\u101d\u1004\u103a R \u1010\u103d\u1004\u103a linear discriminant analysis \u101c\u102f\u1015\u103a\u1014\u100a\u103a\u1038\u1000\u102d\u102f \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-linear-discriminant-analysis\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-27T11:00:03+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lda_r1.png\" \/>\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=\"2 minutes\" \/>\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-linear-discriminant-analysis\/\",\"url\":\"https:\/\/statorials.org\/my\/r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-linear-discriminant-analysis\/\",\"name\":\"R \u1010\u103d\u1004\u103a \u1010\u1005\u103a\u1015\u103c\u1031\u1038\u100a\u102e \u1001\u103d\u1032\u1001\u103c\u102c\u1038\u1019\u103e\u102f \u1001\u103d\u1032\u1001\u103c\u1019\u103a\u1038\u1005\u102d\u1010\u103a\u1016\u103c\u102c\u1001\u103c\u1004\u103a\u1038 (\u1010\u1005\u103a\u1006\u1004\u1037\u103a\u1015\u103c\u102e\u1038\u1010\u1005\u103a\u1006\u1004\u1037\u103a)\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/my\/#website\"},\"datePublished\":\"2023-07-27T11:00:03+00:00\",\"dateModified\":\"2023-07-27T11:00:03+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/my\/#\/schema\/person\/e47470981684a202f7ed4c0cb1e10097\"},\"description\":\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1021\u1006\u1004\u1037\u103a\u1006\u1004\u1037\u103a\u1025\u1015\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1021\u1015\u102b\u1021\u101d\u1004\u103a R \u1010\u103d\u1004\u103a linear discriminant analysis \u101c\u102f\u1015\u103a\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/my\/r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-linear-discriminant-analysis\/#breadcrumb\"},\"inLanguage\":\"my-MM\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/my\/r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-linear-discriminant-analysis\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/my\/r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-linear-discriminant-analysis\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u1021\u102d\u1019\u103a\",\"item\":\"https:\/\/statorials.org\/my\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"R \u1010\u103d\u1004\u103a \u1010\u1005\u103a\u1015\u103c\u1031\u1038\u100a\u102e \u1001\u103d\u1032\u1001\u103c\u102c\u1038\u1019\u103e\u102f \u1001\u103d\u1032\u1001\u103c\u1019\u103a\u1038\u1005\u102d\u1010\u103a\u1016\u103c\u102c\u1001\u103c\u1004\u103a\u1038 (\u1010\u1005\u103a\u1006\u1004\u1037\u103a\u1015\u103c\u102e\u1038\u1010\u1005\u103a\u1006\u1004\u1037\u103a)\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/my\/#website\",\"url\":\"https:\/\/statorials.org\/my\/\",\"name\":\"Statorials\",\"description\":\"\u1005\u102c\u101b\u1004\u103a\u1038\u1021\u1004\u103a\u1038\u1006\u102d\u102f\u1004\u103a\u101b\u102c \u1021\u101b\u100a\u103a\u1021\u1001\u103b\u1004\u103a\u1038\u1021\u1010\u103d\u1000\u103a \u101e\u1004\u1037\u103a\u101c\u1019\u103a\u1038\u100a\u103d\u103e\u1014\u103a\u1001\u103b\u1000\u103a\u104b\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/my\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"my-MM\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/my\/#\/schema\/person\/e47470981684a202f7ed4c0cb1e10097\",\"name\":\"Benjamin Anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"my-MM\",\"@id\":\"https:\/\/statorials.org\/my\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/my\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/my\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin Anderson\"},\"description\":\"\u1019\u1004\u103a\u1039\u1002\u101c\u102c\u1015\u102b\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u101e\u100a\u103a \u1021\u1004\u103c\u102d\u1019\u103a\u1038\u1005\u102c\u1038 \u1005\u102c\u101b\u1004\u103a\u1038\u1021\u1004\u103a\u1038 \u1015\u102b\u1019\u1031\u102c\u1000\u1039\u1001 \u1018\u1004\u103a\u1002\u103b\u1019\u1004\u103a\u1016\u103c\u1005\u103a\u1015\u103c\u102e\u1038 \u101e\u102e\u1038\u101e\u1014\u1037\u103a Statorials \u1006\u101b\u102c\u1021\u1016\u103c\u1005\u103a \u101c\u103e\u100a\u1037\u103a\u1015\u1010\u103a\u1015\u102b\u101e\u100a\u103a\u104b \u1005\u102c\u101b\u1004\u103a\u1038\u1007\u101a\u102c\u1038\u1014\u101a\u103a\u1015\u101a\u103a\u1010\u103d\u1004\u103a \u1000\u103b\u101a\u103a\u1015\u103c\u1014\u1037\u103a\u101e\u1031\u102c\u1021\u1010\u103d\u1031\u1037\u1021\u1000\u103c\u102f\u1036\u1014\u103e\u1004\u1037\u103a \u1000\u103b\u103d\u1019\u103a\u1038\u1000\u103b\u1004\u103a\u1019\u103e\u102f\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030\u104a Statorials \u1019\u103e\u1010\u1005\u103a\u1006\u1004\u1037\u103a \u1000\u103b\u1031\u102c\u1004\u103a\u1038\u101e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1001\u103d\u1014\u103a\u1021\u102c\u1038\u1016\u103c\u1005\u103a\u1005\u1031\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u104f\u1021\u101e\u102d\u1015\u100a\u102c\u1000\u102d\u102f \u1019\u103b\u103e\u101d\u1031\u101c\u102d\u102f\u1015\u102b\u101e\u100a\u103a\u104b \u1015\u102d\u102f\u101e\u102d\u1010\u101a\u103a\u104b\",\"sameAs\":[\"https:\/\/statorials.org\/my\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"R \u1010\u103d\u1004\u103a \u1010\u1005\u103a\u1015\u103c\u1031\u1038\u100a\u102e \u1001\u103d\u1032\u1001\u103c\u102c\u1038\u1019\u103e\u102f \u1001\u103d\u1032\u1001\u103c\u1019\u103a\u1038\u1005\u102d\u1010\u103a\u1016\u103c\u102c\u1001\u103c\u1004\u103a\u1038 (\u1010\u1005\u103a\u1006\u1004\u1037\u103a\u1015\u103c\u102e\u1038\u1010\u1005\u103a\u1006\u1004\u1037\u103a)","description":"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1021\u1006\u1004\u1037\u103a\u1006\u1004\u1037\u103a\u1025\u1015\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1021\u1015\u102b\u1021\u101d\u1004\u103a R \u1010\u103d\u1004\u103a linear discriminant analysis \u101c\u102f\u1015\u103a\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/statorials.org\/my\/r-\u1010\u103d\u1004\u103a-linear-discriminant-analysis\/","og_locale":"my_MM","og_type":"article","og_title":"R \u1010\u103d\u1004\u103a \u1010\u1005\u103a\u1015\u103c\u1031\u1038\u100a\u102e \u1001\u103d\u1032\u1001\u103c\u102c\u1038\u1019\u103e\u102f \u1001\u103d\u1032\u1001\u103c\u1019\u103a\u1038\u1005\u102d\u1010\u103a\u1016\u103c\u102c\u1001\u103c\u1004\u103a\u1038 (\u1010\u1005\u103a\u1006\u1004\u1037\u103a\u1015\u103c\u102e\u1038\u1010\u1005\u103a\u1006\u1004\u1037\u103a)","og_description":"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1021\u1006\u1004\u1037\u103a\u1006\u1004\u1037\u103a\u1025\u1015\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1021\u1015\u102b\u1021\u101d\u1004\u103a R \u1010\u103d\u1004\u103a linear discriminant analysis \u101c\u102f\u1015\u103a\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b","og_url":"https:\/\/statorials.org\/my\/r-\u1010\u103d\u1004\u103a-linear-discriminant-analysis\/","og_site_name":"Statorials","article_published_time":"2023-07-27T11:00:03+00:00","og_image":[{"url":"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lda_r1.png"}],"author":"Benjamin Anderson","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Benjamin Anderson","Est. reading time":"2 minutes"},"schema":{"@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-linear-discriminant-analysis\/","url":"https:\/\/statorials.org\/my\/r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-linear-discriminant-analysis\/","name":"R \u1010\u103d\u1004\u103a \u1010\u1005\u103a\u1015\u103c\u1031\u1038\u100a\u102e \u1001\u103d\u1032\u1001\u103c\u102c\u1038\u1019\u103e\u102f \u1001\u103d\u1032\u1001\u103c\u1019\u103a\u1038\u1005\u102d\u1010\u103a\u1016\u103c\u102c\u1001\u103c\u1004\u103a\u1038 (\u1010\u1005\u103a\u1006\u1004\u1037\u103a\u1015\u103c\u102e\u1038\u1010\u1005\u103a\u1006\u1004\u1037\u103a)","isPartOf":{"@id":"https:\/\/statorials.org\/my\/#website"},"datePublished":"2023-07-27T11:00:03+00:00","dateModified":"2023-07-27T11:00:03+00:00","author":{"@id":"https:\/\/statorials.org\/my\/#\/schema\/person\/e47470981684a202f7ed4c0cb1e10097"},"description":"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1021\u1006\u1004\u1037\u103a\u1006\u1004\u1037\u103a\u1025\u1015\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1021\u1015\u102b\u1021\u101d\u1004\u103a R \u1010\u103d\u1004\u103a linear discriminant analysis \u101c\u102f\u1015\u103a\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b","breadcrumb":{"@id":"https:\/\/statorials.org\/my\/r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-linear-discriminant-analysis\/#breadcrumb"},"inLanguage":"my-MM","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/my\/r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-linear-discriminant-analysis\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/my\/r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-linear-discriminant-analysis\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u1021\u102d\u1019\u103a","item":"https:\/\/statorials.org\/my\/"},{"@type":"ListItem","position":2,"name":"R \u1010\u103d\u1004\u103a \u1010\u1005\u103a\u1015\u103c\u1031\u1038\u100a\u102e \u1001\u103d\u1032\u1001\u103c\u102c\u1038\u1019\u103e\u102f \u1001\u103d\u1032\u1001\u103c\u1019\u103a\u1038\u1005\u102d\u1010\u103a\u1016\u103c\u102c\u1001\u103c\u1004\u103a\u1038 (\u1010\u1005\u103a\u1006\u1004\u1037\u103a\u1015\u103c\u102e\u1038\u1010\u1005\u103a\u1006\u1004\u1037\u103a)"}]},{"@type":"WebSite","@id":"https:\/\/statorials.org\/my\/#website","url":"https:\/\/statorials.org\/my\/","name":"Statorials","description":"\u1005\u102c\u101b\u1004\u103a\u1038\u1021\u1004\u103a\u1038\u1006\u102d\u102f\u1004\u103a\u101b\u102c \u1021\u101b\u100a\u103a\u1021\u1001\u103b\u1004\u103a\u1038\u1021\u1010\u103d\u1000\u103a \u101e\u1004\u1037\u103a\u101c\u1019\u103a\u1038\u100a\u103d\u103e\u1014\u103a\u1001\u103b\u1000\u103a\u104b","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/statorials.org\/my\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"my-MM"},{"@type":"Person","@id":"https:\/\/statorials.org\/my\/#\/schema\/person\/e47470981684a202f7ed4c0cb1e10097","name":"Benjamin Anderson","image":{"@type":"ImageObject","inLanguage":"my-MM","@id":"https:\/\/statorials.org\/my\/#\/schema\/person\/image\/","url":"https:\/\/statorials.org\/my\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg","contentUrl":"https:\/\/statorials.org\/my\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg","caption":"Benjamin Anderson"},"description":"\u1019\u1004\u103a\u1039\u1002\u101c\u102c\u1015\u102b\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u101e\u100a\u103a \u1021\u1004\u103c\u102d\u1019\u103a\u1038\u1005\u102c\u1038 \u1005\u102c\u101b\u1004\u103a\u1038\u1021\u1004\u103a\u1038 \u1015\u102b\u1019\u1031\u102c\u1000\u1039\u1001 \u1018\u1004\u103a\u1002\u103b\u1019\u1004\u103a\u1016\u103c\u1005\u103a\u1015\u103c\u102e\u1038 \u101e\u102e\u1038\u101e\u1014\u1037\u103a Statorials \u1006\u101b\u102c\u1021\u1016\u103c\u1005\u103a \u101c\u103e\u100a\u1037\u103a\u1015\u1010\u103a\u1015\u102b\u101e\u100a\u103a\u104b \u1005\u102c\u101b\u1004\u103a\u1038\u1007\u101a\u102c\u1038\u1014\u101a\u103a\u1015\u101a\u103a\u1010\u103d\u1004\u103a \u1000\u103b\u101a\u103a\u1015\u103c\u1014\u1037\u103a\u101e\u1031\u102c\u1021\u1010\u103d\u1031\u1037\u1021\u1000\u103c\u102f\u1036\u1014\u103e\u1004\u1037\u103a \u1000\u103b\u103d\u1019\u103a\u1038\u1000\u103b\u1004\u103a\u1019\u103e\u102f\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030\u104a Statorials \u1019\u103e\u1010\u1005\u103a\u1006\u1004\u1037\u103a \u1000\u103b\u1031\u102c\u1004\u103a\u1038\u101e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1001\u103d\u1014\u103a\u1021\u102c\u1038\u1016\u103c\u1005\u103a\u1005\u1031\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u104f\u1021\u101e\u102d\u1015\u100a\u102c\u1000\u102d\u102f \u1019\u103b\u103e\u101d\u1031\u101c\u102d\u102f\u1015\u102b\u101e\u100a\u103a\u104b \u1015\u102d\u102f\u101e\u102d\u1010\u101a\u103a\u104b","sameAs":["https:\/\/statorials.org\/my"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/posts\/1161"}],"collection":[{"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/comments?post=1161"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/posts\/1161\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/media?parent=1161"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/categories?post=1161"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/my\/wp-json\/wp\/v2\/tags?post=1161"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}