{"id":1166,"date":"2023-07-27T10:31:36","date_gmt":"2023-07-27T10:31:36","guid":{"rendered":"https:\/\/statorials.org\/my\/r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-%e1%80%9c%e1%80%b1%e1%80%b8%e1%80%91%e1%80%b1%e1%80%ac%e1%80%84%e1%80%b7%e1%80%ba%e1%80%95%e1%80%af%e1%80%b6%e1%80%85%e1%80%b6-%e1%80%81%e1%80%bd%e1%80%b2\/"},"modified":"2023-07-27T10:31:36","modified_gmt":"2023-07-27T10:31:36","slug":"r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-%e1%80%9c%e1%80%b1%e1%80%b8%e1%80%91%e1%80%b1%e1%80%ac%e1%80%84%e1%80%b7%e1%80%ba%e1%80%95%e1%80%af%e1%80%b6%e1%80%85%e1%80%b6-%e1%80%81%e1%80%bd%e1%80%b2","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/r-%e1%80%90%e1%80%bd%e1%80%84%e1%80%ba-%e1%80%9c%e1%80%b1%e1%80%b8%e1%80%91%e1%80%b1%e1%80%ac%e1%80%84%e1%80%b7%e1%80%ba%e1%80%95%e1%80%af%e1%80%b6%e1%80%85%e1%80%b6-%e1%80%81%e1%80%bd%e1%80%b2\/","title":{"rendered":"R \u1010\u103d\u1004\u103a quadratic discriminant analysis (\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\/\u101c\u1031\u1038\u1011\u1031\u102c\u1004\u1037\u103a\u1015\u102f\u1036\u1005\u1036-\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\">\u101c\u1031\u1038\u1015\u102f\u1036\u1010\u1015\u102f\u1036 \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<\/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\u1036\u101b\u103e\u102d\u1015\u103c\u102e\u1038 <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 \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 <a href=\"https:\/\/statorials.org\/my\/r-\u1010\u103d\u1004\u103a-linear-discriminant-analysis\/\" target=\"_blank\" rel=\"noopener noreferrer\">linear discriminant analysis<\/a> \u104f linear equivalent \u101f\u102f \u101a\u1030\u1006\u1015\u102b\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 \u101c\u1031\u1038\u1015\u102f\u1036\u1010\u1005\u103a\u1015\u102f\u1036 \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\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1021\u1006\u1004\u1037\u103a\u1006\u1004\u1037\u103a \u1025\u1015\u1019\u102c\u1015\u1031\u1038\u1011\u102c\u1038\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\u1010\u1005\u103a\u1001\u102f\u104f\u1019\u103b\u102d\u102f\u1038\u1005\u102d\u1010\u103a\u1019\u103b\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 \u101c\u1031\u1038\u1015\u102f\u1036\u1010\u1005\u103a\u1015\u102f\u1036\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\u1015\u102f\u1036\u1005\u1036\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\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- \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 4: QDA \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 QDA \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u104f\u1012\u1031\u1010\u102c\u1014\u103e\u1004\u1037\u103a \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\/qda\" target=\"_blank\" rel=\"noopener noreferrer\">qda() \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 QDA model\n<\/span>model &lt;- qda(Species~., data=train)\n\n<span style=\"color: #008080;\">#view model output<\/span>\nmodel\n\nCall:\nqda(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 4.982353 3.411765 1.482353 0.2411765\nversicolor 5.994118 2.794118 4.358824 1.3676471\nvirginica 6.636842 2.973684 5.592105 2.0552632 \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<h3> <span style=\"color: #000000;\"><strong>\u1021\u1006\u1004\u1037\u103a 5- \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 QDA 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\u1014\u103e\u1005\u103a\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<\/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 7.224770e-20 1.642236e-29\n6 1 6.209196e-26 8.550911e-38\n7 1 1.248337e-21 8.132700e-32\n15 1 2.319705e-35 5.094803e-50\n17 1 1.396840e-29 9.586504e-43\n18 1 7.581165e-25 8.611321e-37\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u1021\u1006\u1004\u1037\u103a 6- \u1019\u1031\u102c\u103a\u1012\u101a\u103a\u1000\u102d\u102f \u1021\u1000\u1032\u1016\u103c\u1010\u103a\u1015\u102b\u104b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">QDA \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 QDA \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 \u1021\u101c\u103d\u1014\u103a\u1000\u1031\u102c\u1004\u103a\u1038\u1019\u103d\u1014\u103a\u1005\u103d\u102c \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c \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<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\/quadratic_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>\u101c\u1031\u1038\u1015\u102f\u1036\u1010\u1015\u102f\u1036 \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 \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\u1036\u101b\u103e\u102d\u1015\u103c\u102e\u1038 \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 \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 linear discriminant analysis \u104f linear equivalent \u101f\u102f \u101a\u1030\u1006\u1015\u102b\u101e\u100a\u103a\u104b \u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a R \u1010\u103d\u1004\u103a \u101c\u1031\u1038\u1015\u102f\u1036\u1010\u1005\u103a\u1015\u102f\u1036 \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\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1021\u1006\u1004\u1037\u103a\u1006\u1004\u1037\u103a \u1025\u1015\u1019\u102c\u1015\u1031\u1038\u1011\u102c\u1038\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 [&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 Quadratic Discriminant Analysis (\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 \u101c\u1031\u1038\u1015\u102f\u1036\u1010\u1005\u103a\u1015\u102f\u1036 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