{"id":3044,"date":"2023-07-19T11:54:34","date_gmt":"2023-07-19T11:54:34","guid":{"rendered":"https:\/\/statorials.org\/my\/split-r-%e1%80%85%e1%80%ac%e1%80%99%e1%80%b1%e1%80%b8%e1%80%95%e1%80%bd%e1%80%b2%e1%80%9b%e1%80%91%e1%80%ac%e1%80%b8\/"},"modified":"2023-07-19T11:54:34","modified_gmt":"2023-07-19T11:54:34","slug":"split-r-%e1%80%85%e1%80%ac%e1%80%99%e1%80%b1%e1%80%b8%e1%80%95%e1%80%bd%e1%80%b2%e1%80%9b%e1%80%91%e1%80%ac%e1%80%b8","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/split-r-%e1%80%85%e1%80%ac%e1%80%99%e1%80%b1%e1%80%b8%e1%80%95%e1%80%bd%e1%80%b2%e1%80%9b%e1%80%91%e1%80%ac%e1%80%b8\/","title":{"rendered":"\u101e\u1004\u103a\u1010\u1014\u103a\u1038\u1010\u103d\u1004\u103a \u1012\u1031\u1010\u102c\u1001\u103d\u1032\u1014\u100a\u103a\u1038 &amp;#038; r (\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 3 \u1001\u102f) \u1010\u103d\u1004\u103a \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1019\u103e\u102f\u1021\u1005\u102f\u1036"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u1019\u1000\u103c\u102c\u1001\u100f\u1006\u102d\u102f\u101e\u101c\u102d\u102f\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a <a href=\"https:\/\/statorials.org\" target=\"_blank\" rel=\"noopener\">\u1005\u1000\u103a\u101e\u1004\u103a\u101a\u1030\u1019\u103e\u102f\u1006\u102d\u102f\u1004\u103a\u101b\u102c \u1021\u101a\u103a\u101c\u1002\u102d\u102f\u101b\u102e\u101e\u1019\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f<\/a> \u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1019\u103b\u102c\u1038\u1011\u1036 \u101c\u102d\u102f\u1000\u103a\u101c\u103b\u1031\u102c\u100a\u102e\u1011\u103d\u1031\u1016\u103c\u1005\u103a\u1005\u1031\u101e\u1031\u102c\u1021\u1001\u102b\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1012\u1031\u1010\u102c\u1021\u1005\u102f\u1036\u1000\u102d\u102f \u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u101b\u1031\u1038\u1021\u1005\u102f\u1010\u1005\u103a\u1001\u102f\u1014\u103e\u1004\u1037\u103a \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1019\u103e\u102f\u1010\u1005\u103a\u1001\u102f\u1021\u1016\u103c\u1005\u103a \u1015\u102d\u102f\u1004\u103a\u1038\u1001\u103c\u102c\u1038\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">R \u1010\u103d\u1004\u103a \u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u101b\u1031\u1038 \u1014\u103e\u1004\u1037\u103a \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1019\u103e\u102f \u1021\u1005\u102f\u1036\u101e\u102d\u102f\u1037 \u1012\u1031\u1010\u102c\u1000\u102d\u102f \u1001\u103d\u1032\u101b\u1014\u103a \u1018\u102f\u1036\u101e\u102f\u1036\u1038\u1014\u100a\u103a\u1038 \u101b\u103e\u102d\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 1- Base R \u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1015\u102b\u104b<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#make this example reproducible\n<\/span>set. <span style=\"color: #3366ff;\">seeds<\/span> (1)\n\n<span style=\"color: #008080;\">#use 70% of dataset as training set and 30% as test set\n<\/span>sample &lt;- sample(c( <span style=\"color: #008000;\">TRUE<\/span> , <span style=\"color: #008000;\">FALSE<\/span> ), nrow(df), replace= <span style=\"color: #008000;\">TRUE<\/span> , prob=c( <span style=\"color: #008000;\">0.7<\/span> , <span style=\"color: #008000;\">0.3<\/span> ))\ntrain &lt;- df[sample, ]\ntest &lt;- df[!sample, ]<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 2- caTools package \u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1015\u102b\u104b<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">library<\/span> (caTools)<\/span>\n\n#make this example reproducible\n<\/span>set. <span style=\"color: #3366ff;\">seeds<\/span> (1)\n\n<span style=\"color: #008080;\">#use 70% of dataset as training set and 30% as test set\n<\/span>sample &lt;- sample. <span style=\"color: #3366ff;\">split<\/span> (df$any_column_name, SplitRatio = <span style=\"color: #008000;\">0.7<\/span> )\ntrain &lt;- subset(df, sample == <span style=\"color: #008000;\">TRUE<\/span> )\ntest &lt;- subset(df, sample == <span style=\"color: #008000;\">FALSE<\/span> )<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 3- dplyr package \u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1015\u102b\u104b<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">library<\/span> (dplyr)<\/span>\n\n#make this example reproducible\n<\/span>set. <span style=\"color: #3366ff;\">seeds<\/span> (1)\n\n<span style=\"color: #008080;\">#create ID column\n<\/span>df$id &lt;- 1:nrow(df)\n\n<span style=\"color: #008080;\">#use 70% of dataset as training set and 30% as test set<\/span>\ntrain &lt;- df %&gt;% dplyr::sample_frac( <span style=\"color: #008000;\">0.70<\/span> )\ntest &lt;- dplyr::anti_join(df, train, by = ' <span style=\"color: #ff0000;\">id<\/span> ')<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a R \u101b\u103e\u102d built-in<a href=\"https:\/\/statorials.org\/my\/iris-r-\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\/\" target=\"_blank\" rel=\"noopener\">iris dataset<\/a> \u1016\u103c\u1004\u1037\u103a \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1010\u103d\u1004\u103a \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u1025\u1015\u1019\u102c 1- Base R \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u101b\u1031\u1038 \u1014\u103e\u1004\u1037\u103a \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1019\u103e\u102f \u1021\u1005\u102f\u1036\u101e\u102d\u102f\u1037 \u1012\u1031\u1010\u102c\u1000\u102d\u102f \u1001\u103d\u1032\u1015\u102b\u104b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1021\u1010\u1014\u103a\u1038\u104f 70% \u1000\u102d\u102f \u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u1019\u103e\u102f\u1021\u1016\u103c\u1005\u103a \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1015\u103c\u102e\u1038 \u1000\u103b\u1014\u103a 30% \u1021\u102c\u1038 \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1019\u103e\u102f\u1021\u1016\u103c\u1005\u103a \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1000\u102c \u1019\u103b\u1000\u103a\u101d\u1014\u103a\u1038\u1012\u1031\u1010\u102c\u1021\u1005\u102f\u1036\u1000\u102d\u102f \u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u101b\u1031\u1038\u1014\u103e\u1004\u1037\u103a \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1019\u103e\u102f\u1021\u1005\u102f\u1021\u1016\u103c\u1005\u103a \u1001\u103d\u1032\u101b\u1014\u103a R \u1021\u1001\u103c\u1031\u1001\u1036\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load iris dataset\n<\/span>data(iris)\n\n<span style=\"color: #008080;\">#make this example reproducible\n<\/span>set. <span style=\"color: #3366ff;\">seeds<\/span> (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> ), nrow(iris), replace= <span style=\"color: #008000;\">TRUE<\/span> , prob=c( <span style=\"color: #008000;\">0.7<\/span> , <span style=\"color: #008000;\">0.3<\/span> ))\ntrain &lt;- iris[sample, ]\ntest &lt;- iris[!sample, ]\n\n<span style=\"color: #008080;\">#view dimensions of training set\n<\/span>sun(train)\n\n[1] 106 5\n\n<span style=\"color: #008080;\">#view dimensions of test set\n<\/span>dim(test)\n\n[1] 44 5<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u101b\u101c\u1012\u103a\u1019\u103e \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037 \u1019\u103c\u1004\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u1019\u103e\u102f\u1021\u1005\u102f\u1036\u101e\u100a\u103a 106 \u1021\u1010\u1014\u103a\u1038\u1014\u103e\u1004\u1037\u103a 5 \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u104f \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1019\u103e\u102f\u101e\u100a\u103a 44 \u1021\u1010\u1014\u103a\u1038\u1014\u103e\u1004\u1037\u103a 5 \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u104f\u1012\u1031\u1010\u102c\u1018\u101c\u1031\u102c\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u1019\u1030\u101b\u1004\u103a\u1038\u1012\u1031\u1010\u102c\u1018\u1031\u1037\u1005\u103a\u1010\u103d\u1004\u103a \u1005\u102f\u1005\u102f\u1015\u1031\u102b\u1004\u103a\u1038\u1021\u1010\u1014\u103a\u1038 150 \u1010\u1014\u103a\u1038\u101b\u103e\u102d\u101e\u1031\u102c\u1000\u103c\u1031\u102c\u1004\u1037\u103a \u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u101b\u1031\u1038\u1021\u1005\u102f\u1010\u103d\u1004\u103a \u1001\u1014\u1037\u103a\u1019\u103e\u1014\u103a\u1038\u1001\u103c\u1031\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a 106\/150 = 70.6% \u1015\u102b\u1040\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101c\u102d\u102f\u1001\u103b\u1004\u103a\u1015\u102b\u1000 \u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u101b\u1031\u1038\u1021\u1005\u102f\u1036\u104f \u1015\u1011\u1019\u1010\u1014\u103a\u1038\u1021\u1014\u100a\u103a\u1038\u1004\u101a\u103a\u1000\u102d\u102f\u101c\u100a\u103a\u1038 \u1015\u103c\u101e\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 first few rows of training set\n<\/span>head(train)\n\n  Sepal.Length Sepal.Width Petal.Length Petal.Width Species\n1 5.1 3.5 1.4 0.2 setosa\n2 4.9 3.0 1.4 0.2 setosa\n3 4.7 3.2 1.3 0.2 setosa\n5 5.0 3.6 1.4 0.2 setosa\n8 5.0 3.4 1.5 0.2 setosa\n9 4.4 2.9 1.4 0.2 setosa\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u1025\u1015\u1019\u102c 2- caTools \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u101b\u1031\u1038\u1014\u103e\u1004\u1037\u103a \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1019\u103e\u102f\u1021\u1005\u102f\u1036\u101e\u102d\u102f\u1037 \u1012\u1031\u1010\u102c\u1000\u102d\u102f \u1015\u102d\u102f\u1004\u103a\u1038\u1001\u103c\u102c\u1038\u1015\u102b\u104b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1021\u1010\u1014\u103a\u1038\u104f 70% \u1000\u102d\u102f \u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u101b\u1031\u1038\u1021\u1005\u102f\u1021\u1016\u103c\u1005\u103a\u1014\u103e\u1004\u1037\u103a \u1000\u103b\u1014\u103a 30% \u1000\u102d\u102f \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1021\u1016\u103c\u1005\u103a \u1021\u1010\u1014\u103a\u1038\u104f 70% \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1000\u102c iris \u1012\u1031\u1010\u102c\u1021\u1005\u102f\u1036\u1000\u102d\u102f \u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u101b\u1031\u1038\u1014\u103e\u1004\u1037\u103a\u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1019\u103e\u102f\u1021\u1005\u102f\u1021\u1016\u103c\u1005\u103a \u1001\u103d\u1032\u101b\u1014\u103a R \u101b\u103e\u102d <strong>caTools<\/strong> \u1015\u1000\u103a\u1000\u1031\u1037\u1002\u103b\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1016\u1031\u102c\u103a\u1015\u103c\u101e\u100a\u103a-<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">library<\/span> (caTools)<\/span>\n\n#load iris dataset\n<\/span>data(iris)\n\n<span style=\"color: #008080;\">#make this example reproducible\n<\/span>set. <span style=\"color: #3366ff;\">seeds<\/span> (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. <span style=\"color: #3366ff;\">split<\/span> (iris$Species, SplitRatio = <span style=\"color: #008000;\">0.7<\/span> )\ntrain &lt;- subset(iris, sample == <span style=\"color: #008000;\">TRUE<\/span> )\ntest &lt;- subset(iris, sample == <span style=\"color: #008000;\">FALSE<\/span> )\n\n<span style=\"color: #008080;\">#view dimensions of training set\n<\/span>sun(train)\n\n[1] 105 5\n\n<span style=\"color: #008080;\">#view dimensions of test set\n<\/span>dim(test)\n\n[1] 45 5<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u101b\u101c\u1012\u103a\u1019\u103e \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037 \u1019\u103c\u1004\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u101e\u1004\u103a\u1010\u1014\u103a\u1038\u1021\u1005\u102f\u1036\u101e\u100a\u103a 105 \u1010\u1014\u103a\u1038 \u1014\u103e\u1004\u1037\u103a 5 \u1000\u1031\u102c\u103a\u101c\u1036\u1015\u102b \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1019\u103e\u102f\u101e\u100a\u103a \u1044\u1045 \u1010\u1014\u103a\u1038\u1014\u103e\u1004\u1037\u103a \u1000\u1031\u102c\u103a\u101c\u1036 \u1045 \u1001\u102f\u1015\u102b\u101e\u100a\u1037\u103a \u1012\u1031\u1010\u102c\u1018\u101c\u1031\u102c\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/li>\n<\/ul>\n<h3> <span style=\"color: #000000;\"><strong>\u1025\u1015\u1019\u102c 3- dplyr \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u101b\u1031\u1038\u1014\u103e\u1004\u1037\u103a \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1019\u103e\u102f\u1021\u1005\u102f\u1036\u101e\u102d\u102f\u1037 \u1012\u1031\u1010\u102c\u1000\u102d\u102f \u1015\u102d\u102f\u1004\u103a\u1038\u1001\u103c\u102c\u1038\u1015\u102b\u104b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1021\u1010\u1014\u103a\u1038\u104f 70% \u1000\u102d\u102f \u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u101b\u1031\u1038\u1021\u1005\u102f\u1021\u1016\u103c\u1005\u103a\u1014\u103e\u1004\u1037\u103a \u1000\u103b\u1014\u103a 30% \u1000\u102d\u102f \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1021\u1016\u103c\u1005\u103a \u1021\u1010\u1014\u103a\u1038\u104f 70% \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1000\u102c iris \u1012\u1031\u1010\u102c\u1021\u1005\u102f\u1036\u1000\u102d\u102f \u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u101b\u1031\u1038\u1014\u103e\u1004\u1037\u103a\u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1019\u103e\u102f\u1021\u1005\u102f\u1021\u1016\u103c\u1005\u103a \u1001\u103d\u1032\u101b\u1014\u103a R \u101b\u103e\u102d <strong>caTools<\/strong> \u1015\u1000\u103a\u1000\u1031\u1037\u1002\u103b\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1016\u1031\u102c\u103a\u1015\u103c\u101e\u100a\u103a-<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">library<\/span> (dplyr)<\/span>\n\n#load iris dataset\n<\/span>data(iris)\n\n<span style=\"color: #008080;\">#make this example reproducible\n<\/span>set. <span style=\"color: #3366ff;\">seeds<\/span> (1)\n\n<span style=\"color: #008080;\">#create variable ID\n<\/span>iris$id &lt;- 1:nrow(iris)\n\n<span style=\"color: #008080;\">#Use 70% of dataset as training set and remaining 30% as testing set<\/span> \ntrain &lt;- iris %&gt;% dplyr::sample_frac( <span style=\"color: #008000;\">0.7<\/span> )\ntest &lt;- dplyr::anti_join(iris, train, by = ' <span style=\"color: #ff0000;\">id<\/span> ')\n\n<span style=\"color: #008080;\">#view dimensions of training set\n<\/span>sun(train)\n\n[1] 105 6\n\n<span style=\"color: #008080;\">#view dimensions of test set\n<\/span>dim(test)\n\n[1] 45 6\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u101b\u101c\u1012\u103a\u1019\u103e \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037 \u1019\u103c\u1004\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u1019\u103e\u102f\u1021\u1005\u102f\u1036\u101e\u100a\u103a 105 \u1010\u1014\u103a\u1038\u1014\u103e\u1004\u1037\u103a 6 \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u104f \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1019\u103e\u102f\u101e\u100a\u103a \u1044\u1045 \u1010\u1014\u103a\u1038\u1014\u103e\u1004\u1037\u103a \u1000\u1031\u102c\u103a\u101c\u1036 \u1046 \u1001\u102f\u1015\u102b\u101e\u100a\u1037\u103a \u1012\u1031\u1010\u102c\u1018\u101c\u1031\u102c\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u1024\u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u101b\u1031\u1038\u1014\u103e\u1004\u1037\u103a \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1019\u103e\u102f\u1021\u1005\u102f\u1036\u1010\u103d\u1004\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1016\u1014\u103a\u1010\u102e\u1038\u1011\u102c\u1038\u101e\u1031\u102c \u1014\u1031\u102c\u1000\u103a\u1011\u1015\u103a &#8220; id&#8221;  \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f \u1015\u102b\u101d\u1004\u103a\u101e\u100a\u103a\u1000\u102d\u102f \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u101e\u1004\u1037\u103a\u1005\u1000\u103a\u101e\u1004\u103a\u101a\u1030\u1019\u103e\u102f \u1021\u101a\u103a\u101c\u1002\u102d\u102f\u101b\u102e\u101e\u1019\u103a\u1000\u102d\u102f \u1001\u103b\u102d\u1014\u103a\u100a\u103e\u102d\u101e\u1031\u102c\u1021\u1001\u102b\u1010\u103d\u1004\u103a \u101e\u1004\u103a\u101e\u100a\u103a \u1024\u1000\u1031\u102c\u103a\u101c\u1036\u1000\u102d\u102f \u1019\u101e\u102f\u1036\u1038\u1015\u102b\u1014\u103e\u1004\u1037\u103a (\u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u104e\u1004\u103a\u1038\u1000\u102d\u102f \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038\u1019\u103e \u101c\u102f\u1036\u1038\u101d\u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1001\u103c\u1004\u103a\u1038) \u101e\u1031\u1001\u103b\u102c\u1015\u102b\u1005\u1031\u104b<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u1011\u1015\u103a\u101c\u1031\u102c\u1004\u103a\u1038\u1021\u101b\u1004\u103a\u1038\u1021\u1019\u103c\u1005\u103a\u1019\u103b\u102c\u1038<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a R \u1010\u103d\u1004\u103a \u1021\u1001\u103c\u102c\u1038\u101e\u1031\u102c \u1018\u102f\u1036\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a-<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/my\/mse-\u1000\u102d\u102f-r-\u1014\u1032\u1037-\u1018\u101a\u103a\u101c\u102d\u102f\u1010\u103d\u1000\u103a\u101b\u1019\u101c\u1032\/\" target=\"_blank\" rel=\"noopener\">R \u1016\u103c\u1004\u1037\u103a MSE \u1010\u103d\u1000\u103a\u1014\u100a\u103a\u1038<\/a><br \/> <a href=\"https:\/\/statorials.org\/my\/r-\u1016\u103c\u1004\u1037\u103a-rmse-\u1000\u102d\u102f\u1018\u101a\u103a\u101c\u102d\u102f\u1010\u103d\u1000\u103a\u101b\u1019\u101c\u1032\/\" target=\"_blank\" rel=\"noopener\">R \u1016\u103c\u1004\u1037\u103a RMSE \u1010\u103d\u1000\u103a\u1014\u100a\u103a\u1038<\/a><br \/> <a href=\"https:\/\/statorials.org\/my\/r-\u1005\u1010\u102f\u101b\u1014\u103a\u1038-r-\u101e\u100a\u103a-\u1021\u1036\u101d\u1004\u103a\u1001\u103d\u1004\u103a\u1000\u103b\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b\/\" target=\"_blank\" rel=\"noopener\">R \u1016\u103c\u1004\u1037\u103a \u1001\u103b\u102d\u1014\u103a\u100a\u103e\u102d\u1011\u102c\u1038\u101e\u1031\u102c R-squared \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u1019\u1000\u103c\u102c\u1001\u100f\u1006\u102d\u102f\u101e\u101c\u102d\u102f\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1005\u1000\u103a\u101e\u1004\u103a\u101a\u1030\u1019\u103e\u102f\u1006\u102d\u102f\u1004\u103a\u101b\u102c \u1021\u101a\u103a\u101c\u1002\u102d\u102f\u101b\u102e\u101e\u1019\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1019\u103b\u102c\u1038\u1011\u1036 \u101c\u102d\u102f\u1000\u103a\u101c\u103b\u1031\u102c\u100a\u102e\u1011\u103d\u1031\u1016\u103c\u1005\u103a\u1005\u1031\u101e\u1031\u102c\u1021\u1001\u102b\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1012\u1031\u1010\u102c\u1021\u1005\u102f\u1036\u1000\u102d\u102f \u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u101b\u1031\u1038\u1021\u1005\u102f\u1010\u1005\u103a\u1001\u102f\u1014\u103e\u1004\u1037\u103a \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1019\u103e\u102f\u1010\u1005\u103a\u1001\u102f\u1021\u1016\u103c\u1005\u103a \u1015\u102d\u102f\u1004\u103a\u1038\u1001\u103c\u102c\u1038\u1015\u102b\u101e\u100a\u103a\u104b R \u1010\u103d\u1004\u103a \u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u101b\u1031\u1038 \u1014\u103e\u1004\u1037\u103a \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1019\u103e\u102f \u1021\u1005\u102f\u1036\u101e\u102d\u102f\u1037 \u1012\u1031\u1010\u102c\u1000\u102d\u102f \u1001\u103d\u1032\u101b\u1014\u103a \u1018\u102f\u1036\u101e\u102f\u1036\u1038\u1014\u100a\u103a\u1038 \u101b\u103e\u102d\u1015\u102b\u101e\u100a\u103a\u104b \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 1- Base R \u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1015\u102b\u104b #make this example reproducible set. seeds (1) #use 70% of dataset as training set and 30% as test set sample &lt;- sample(c( TRUE , FALSE ), nrow(df), replace= TRUE [&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 (3 Methods) - Statology \u1010\u103d\u1004\u103a Training \u1014\u103e\u1004\u1037\u103a Test Sets \u1019\u103b\u102c\u1038 Data \u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1001\u103d\u1032\u1001\u103c\u1019\u103a\u1038\u1014\u100a\u103a\u1038<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1019\u1010\u1030\u100a\u102e\u101e\u1031\u102c \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u101e\u102f\u1036\u1038\u1019\u103b\u102d\u102f\u1038\u1016\u103c\u1004\u1037\u103a \u1012\u1031\u1010\u102c\u1000\u102d\u102f R \u1010\u103d\u1004\u103a \u101c\u1031\u1037\u1000\u103b\u1004\u1037\u103a\u101b\u1031\u1038\u1014\u103e\u1004\u1037\u103a \u1005\u1019\u103a\u1038\u101e\u1015\u103a\u1019\u103e\u102f\u1021\u1005\u102f\u1019\u103b\u102c\u1038\u1021\u1016\u103c\u1005\u103a \u1001\u103d\u1032\u1011\u102f\u1010\u103a\u1015\u102f\u1036\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\" 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