{"id":3618,"date":"2023-07-16T12:37:36","date_gmt":"2023-07-16T12:37:36","guid":{"rendered":"https:\/\/statorials.org\/my\/data-table-vs-data-frame-r\/"},"modified":"2023-07-16T12:37:36","modified_gmt":"2023-07-16T12:37:36","slug":"data-table-vs-data-frame-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/data-table-vs-data-frame-r\/","title":{"rendered":"R \u1010\u103d\u1004\u103a data.table \u1014\u103e\u1004\u1037\u103a \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a- \u1021\u1013\u102d\u1000 \u1000\u103d\u102c\u1001\u103c\u102c\u1038\u1001\u103b\u1000\u103a \u101e\u102f\u1036\u1038\u1001\u102f"},"content":{"rendered":"

<\/p>\n

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R \u1015\u101b\u102d\u102f\u1002\u101b\u1019\u103a\u1038\u1019\u1004\u103a\u1038\u1018\u102c\u101e\u102c\u1005\u1000\u102c\u1038\u1010\u103d\u1004\u103a data.frame<\/strong> \u101e\u100a\u103a R \u1012\u1031\u1010\u102c\u1018\u1031\u1037\u1005\u103a\u104f \u1021\u1005\u102d\u1010\u103a\u1021\u1015\u102d\u102f\u1004\u103a\u1038\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n

data.table<\/strong> \u1015\u1000\u103a\u1000\u1031\u1037\u1002\u103b\u103a\u104f setDF<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1019\u100a\u103a\u101e\u100a\u1037\u103a data.frame \u1000\u102d\u102f<\/strong> data.table<\/strong> \u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n

data.table \u101e\u100a\u103a R \u101b\u103e\u102d data.frame \u1010\u1005\u103a\u1001\u102f\u1011\u1000\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u102c\u1038\u101e\u102c\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u1031\u1038\u1006\u1031\u102c\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n

1.<\/strong> data.table \u1010\u1005\u103a\u1001\u102f\u101e\u102d\u102f\u1037 \u1016\u102d\u102f\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u101e\u102d\u102f\u1037 \u1016\u102d\u102f\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u1016\u1010\u103a\u101b\u1014\u103a fread<\/a> function \u1000\u102d\u102f data.table \u1010\u1005\u103a\u1001\u102f\u101e\u102d\u102f\u1037 \u1016\u1010\u103a\u101b\u1014\u103a read.csv<\/a> \u1000\u1032\u1037\u101e\u102d\u102f\u1037\u101e\u1031\u102c \u1021\u1001\u103c\u1031\u1001\u1036 R function \u1019\u103b\u102c\u1038\u1011\u1000\u103a \u1019\u103b\u102c\u1038\u1005\u103d\u102c<\/em> \u1015\u102d\u102f\u1019\u103c\u1014\u103a\u101e\u100a\u103a\u104a data.frame \u1011\u1032\u101e\u102d\u102f\u1037 \u1016\u102d\u102f\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u1010\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n

2.<\/strong> data.table \u1010\u1005\u103a\u1001\u102f\u1015\u1031\u102b\u103a\u1010\u103d\u1004\u103a data.frame \u1011\u1000\u103a \u1019\u103b\u102c\u1038\u1005\u103d\u102c<\/em> \u1015\u102d\u102f\u1019\u103c\u1014\u103a\u101e\u1031\u102c \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038 (\u1021\u102f\u1015\u103a\u1005\u102f\u1016\u103d\u1032\u1037\u1001\u103c\u1004\u103a\u1038\u1014\u103e\u1004\u1037\u103a \u1015\u1031\u102b\u1004\u103a\u1038\u1005\u100a\u103a\u1038\u1001\u103c\u1004\u103a\u1038\u1000\u1032\u1037\u101e\u102d\u102f\u1037) \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n

3.<\/strong> \u1000\u103d\u1014\u103a\u1006\u102d\u102f\u1038\u101c\u103a\u1010\u1005\u103a\u1001\u102f\u101e\u102d\u102f\u1037 data.frame \u1000\u102d\u102f \u1015\u101b\u1004\u1037\u103a\u1011\u102f\u1010\u103a\u101e\u1031\u102c\u1021\u1001\u102b\u104a R \u101e\u100a\u103a data.frame \u1010\u103d\u1004\u103a \u1021\u1010\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1000\u102d\u102f \u1015\u101b\u1004\u1037\u103a\u1011\u102f\u1010\u103a\u101b\u1014\u103a \u1000\u103c\u102d\u102f\u1038\u1005\u102c\u1038\u1019\u100a\u103a\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b \u101e\u102d\u102f\u1037\u101e\u1031\u102c\u103a\u101c\u100a\u103a\u1038 data.table \u101e\u100a\u103a dataset \u1000\u103c\u102e\u1038\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1004\u1037\u103a\u1021\u101c\u102f\u1015\u103a\u101c\u102f\u1015\u103a\u1014\u1031\u1015\u102b\u1000 \u101e\u1004\u103a\u104f session \u1000\u102d\u102f\u1006\u103d\u1032\u1011\u102c\u1038\u101b\u1014\u103a \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1015\u103b\u1000\u103a\u101e\u103d\u102c\u1038\u1001\u103c\u1004\u103a\u1038\u1019\u103e\u1000\u102c\u1000\u103d\u101a\u103a\u1015\u1031\u1038\u1019\u100a\u1037\u103a \u1015\u1011\u1019\u1010\u1014\u103a\u1038 100 \u1000\u102d\u102f\u101e\u102c\u1015\u103c\u101e\u1015\u102b\u1019\u100a\u103a\u104b<\/span><\/p>\n

\u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1010\u103d\u1004\u103a data.frames \u1014\u103e\u1004\u1037\u103a data.tables \u1019\u103b\u102c\u1038\u1000\u103c\u102c\u1038\u1010\u103d\u1004\u103a \u1024\u1000\u103d\u1032\u1015\u103c\u102c\u1038\u1019\u103e\u102f\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u1031\u102c\u103a\u1015\u103c\u101e\u100a\u103a\u104b<\/span><\/p>\n

\u1000\u103d\u102c\u1001\u103c\u102c\u1038\u1001\u103b\u1000\u103a #1- fread \u1016\u103c\u1004\u1037\u103a \u1015\u102d\u102f\u1019\u102d\u102f\u1019\u103c\u1014\u103a\u1006\u1014\u103a\u1005\u103d\u102c \u1010\u1004\u103a\u101e\u103d\u1004\u103a\u1038\u1001\u103c\u1004\u103a\u1038\u104b<\/strong><\/span><\/h2>\n

\u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a data.table \u1015\u1000\u103a\u1000\u1031\u1037\u1002\u103b\u103a\u1014\u103e\u1004\u1037\u103a R \u1012\u1031\u1010\u102c\u1018\u1031\u1037\u1005\u103a\u1019\u103e read.csv<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f fread<\/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 \u1021\u1010\u1014\u103a\u1038 10,000 \u1014\u103e\u1004\u1037\u103a \u1000\u1031\u102c\u103a\u101c\u1036 100 \u104f \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1010\u1004\u103a\u101e\u103d\u1004\u103a\u1038\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n

 library<\/span> (microbenchmark)\nlibrary<\/span> (data.table)\n\n#make this example reproducible\n<\/span>set. seeds<\/span> (1)\n\n#create data frame with 10,000 rows and 100 columns\n<\/span>df <- as. data<\/span> . frame<\/span> (matrix(runif(10^4 * 100), nrow = 10^4))\n\n#export CSV to current working directory\n<\/span>write.write. csv<\/span> (df, \" test.csv<\/span> \", quote = FALSE<\/span> )\n\n#import CSV file using fread and read.csv and time how long it takes\n<\/span>results <- microbenchmark(\n  read.csv = read. csv<\/span> (\" test.csv<\/span> \", header = TRUE<\/span> , stringsAsFactors = FALSE<\/span> ),\n  fread = fread(\" test.csv<\/span> \", sep = \",\", stringsAsFactors = FALSE<\/span> ),\n  times = 10)\n\n#view results\n<\/span>results\n\nUnit: milliseconds\n     expr min lq mean median uq max neval cld\n read.csv 817.1867 892.8748 1026.7071 899.5755 926.9120 1964.0540 10 b\n    fread 113.5889 116.2735 136.4079 124.3816 136.0534 211.7484 10 a<\/strong><\/pre>\n
 \u101b\u101c\u1012\u103a\u1019\u103b\u102c\u1038\u1019\u103e\u104a fread<\/strong> \u101e\u100a\u103a read.csv<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1014\u103e\u1004\u1037\u103a \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1015\u102b\u1000 \u1024 CSV \u1016\u102d\u102f\u1004\u103a\u1000\u102d\u102f \u1010\u1004\u103a\u101e\u103d\u1004\u103a\u1038\u101b\u1014\u103a 10 \u1006 \u1015\u102d\u102f\u1019\u102d\u102f\u1019\u103c\u1014\u103a\u1006\u1014\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
 \u1015\u102d\u102f\u1000\u103c\u102e\u1038\u101e\u1031\u102c \u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1019\u103b\u102c\u1038\u1021\u1010\u103d\u1000\u103a \u1024\u1000\u103d\u102c\u1001\u103c\u102c\u1038\u1001\u103b\u1000\u103a\u101e\u100a\u103a \u1015\u102d\u102f\u104d\u1000\u103c\u102e\u1038\u1019\u102c\u1038\u101c\u102d\u1019\u1037\u103a\u1019\u100a\u103a\u1000\u102d\u102f \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 \u1000\u103d\u102c\u1001\u103c\u102c\u1038\u1001\u103b\u1000\u103a #2- data.table \u1016\u103c\u1004\u1037\u103a \u1015\u102d\u102f\u1019\u102d\u102f\u1019\u103c\u1014\u103a\u1006\u1014\u103a\u101e\u1031\u102c \u1012\u1031\u1010\u102c\u1000\u102d\u102f \u1001\u103c\u101a\u103a\u101c\u103e\u101a\u103a\u1001\u103c\u1004\u103a\u1038\u104b<\/strong><\/span><\/h2>\n
 \u101a\u1031\u1018\u1030\u101a\u103b\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a data.table \u101e\u100a\u103a<\/strong> data.frame<\/strong> \u1011\u1000\u103a \u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1015\u102d\u102f\u1019\u103c\u1014\u103a\u101e\u100a\u1037\u103a \u1019\u100a\u103a\u101e\u100a\u1037\u103a\u1012\u1031\u1010\u102c\u1000\u102d\u102f\u1019\u1006\u102d\u102f \u1000\u102d\u102f\u1004\u103a\u1010\u103d\u101a\u103a\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a \u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a data.table \u1014\u103e\u1004\u1037\u103a data.frame \u1014\u103e\u1005\u103a\u1001\u102f\u101c\u102f\u1036\u1038\u101b\u103e\u102d \u1021\u1001\u103c\u102c\u1038\u101e\u1031\u102c variable \u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1004\u1037\u103a \u1021\u102f\u1015\u103a\u1005\u102f\u1016\u103d\u1032\u1037\u1011\u102c\u1038\u101e\u100a\u1037\u103a variable \u1010\u1005\u103a\u1001\u102f\u104f \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n
 library<\/span> (microbenchmark)\nlibrary<\/span> (data.table)\n\n#make this example reproducible\n<\/span>set.seed(1)\n\n#create data frame with 10,000 rows and 100 columns\nd_frame <- data. frame<\/span> (team=rep(c(' A<\/span> ', ' B<\/span> '), each=5000),\n                      points=c(rnorm(10000, mean=20, sd=3)))\n\n#create data.table from data.frame\n<\/span>d_table <- setDT(d_frame)\n\n#calculate mean of points grouped by team in data.frame and data.table\n<\/span>results <- microbenchmark(\n  mean_d_frame = aggregate(d_frame$points, list(d_frame$team), FUN=mean),\n  mean_d_table = d_table[ ,list(mean=mean(points)), by=team],\n  times = 10)\n\n#view results\n<\/span>results\n\nUnit: milliseconds\n         expr min lq mean median uq max neval cld\n mean_d_frame 2.9045 3.0077 3.11683 3.1074 3.1654 3.4824 10 b\n mean_d_table 1.0539 1.1140 1.52002 1.2075 1.2786 3.6084 10 a<\/strong><\/span><\/pre>\n
 \u101b\u101c\u1012\u103a\u1019\u103b\u102c\u1038\u1019\u103e\u104a data.table<\/strong> \u101e\u100a\u103a data.frame<\/strong> \u1011\u1000\u103a \u101e\u102f\u1036\u1038\u1006\u1001\u1014\u1037\u103a \u1015\u102d\u102f\u1019\u103c\u1014\u103a\u101e\u100a\u103a\u1000\u102d\u102f \u1010\u103d\u1031\u1037\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1015\u102d\u102f\u1000\u103c\u102e\u1038\u101e\u1031\u102c \u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1019\u103b\u102c\u1038\u1021\u1010\u103d\u1000\u103a\u104a \u1024\u1000\u103d\u102c\u1001\u103c\u102c\u1038\u1001\u103b\u1000\u103a\u101e\u100a\u103a \u1015\u102d\u102f\u104d\u1015\u1004\u103a \u1000\u103c\u102e\u1038\u1019\u102c\u1038\u1015\u102b\u101c\u102d\u1019\u1037\u103a\u1019\u100a\u103a\u104b<\/span><\/p>\n
 \u1000\u103d\u102c\u1001\u103c\u102c\u1038\u1001\u103b\u1000\u103a #3- data.table \u1016\u103c\u1004\u1037\u103a \u101b\u102d\u102f\u1000\u103a\u1014\u103e\u102d\u1015\u103a\u1011\u102c\u1038\u101e\u1031\u102c \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038 \u1014\u100a\u103a\u1038\u1015\u102b\u1038\u101e\u100a\u103a\u104b<\/strong><\/span><\/h2>\n
 \u1000\u103d\u1014\u103a\u1006\u102d\u102f\u1038\u101c\u103a\u1010\u1005\u103a\u1001\u102f\u101e\u102d\u102f\u1037 data.frame \u1000\u102d\u102f<\/strong> \u1015\u101b\u1004\u1037\u103a\u1011\u102f\u1010\u103a\u101e\u100a\u1037\u103a\u1021\u1001\u102b R \u101e\u100a\u103a data.frame \u1010\u103d\u1004\u103a \u1021\u1010\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1000\u102d\u102f \u1015\u101b\u1004\u1037\u103a\u1011\u102f\u1010\u103a\u101b\u1014\u103a \u1000\u103c\u102d\u102f\u1038\u1005\u102c\u1038\u1019\u100a\u103a\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u101e\u102d\u102f\u1037\u101e\u1031\u102c\u103a\u101c\u100a\u103a\u1038 data.table<\/strong> \u101e\u100a\u103a dataset \u1000\u103c\u102e\u1038\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1004\u1037\u103a\u1021\u101c\u102f\u1015\u103a\u101c\u102f\u1015\u103a\u1014\u1031\u1015\u102b\u1000 \u101e\u1004\u103a\u104f session \u1000\u102d\u102f\u1006\u103d\u1032\u1011\u102c\u1038\u101b\u1014\u103a \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1015\u103b\u1000\u103a\u101e\u103d\u102c\u1038\u1001\u103c\u1004\u103a\u1038\u1019\u103e\u1000\u102c\u1000\u103d\u101a\u103a\u1015\u1031\u1038\u1019\u100a\u1037\u103a \u1015\u1011\u1019\u1010\u1014\u103a\u1038 100 \u1000\u102d\u102f\u101e\u102c\u1015\u103c\u101e\u1015\u102b\u1019\u100a\u103a\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u1010\u103d\u1004\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u1014\u103e\u1004\u1037\u103a \u1021\u1010\u1014\u103a\u1038 200 \u101b\u103e\u102d\u101e\u100a\u1037\u103a data.table \u1014\u103e\u1005\u103a\u1001\u102f\u101c\u102f\u1036\u1038\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 data.frame \u1000\u102d\u102f \u1015\u101b\u1004\u1037\u103a\u1011\u102f\u1010\u103a\u101e\u1031\u102c\u1021\u1001\u102b\u104a R \u101e\u100a\u103a data.table \u1000\u102d\u102f \u1015\u101b\u1004\u1037\u103a\u1011\u102f\u1010\u103a\u1005\u1009\u103a\u1010\u103d\u1004\u103a \u1021\u1010\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1000\u102d\u102f \u1015\u101b\u1004\u1037\u103a\u1011\u102f\u1010\u103a\u101b\u1014\u103a \u1000\u103c\u102d\u102f\u1038\u1005\u102c\u1038\u1019\u100a\u103a\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104btable \u101e\u100a\u103a \u1015\u1011\u1019\u1004\u102b\u1038\u1010\u1014\u103a\u1038\u1014\u103e\u1004\u1037\u103a \u1014\u1031\u102c\u1000\u103a\u1006\u102f\u1036\u1038\u1004\u102b\u1038\u1010\u1014\u103a\u1038\u1000\u102d\u102f\u101e\u102c \u1015\u103c\u101e\u101c\u102d\u1019\u1037\u103a\u1019\u100a\u103a-<\/span><\/p>\n
 library<\/span> (data.table)\n\n#make this example reproducible\n<\/span>set. seeds<\/span> (1)\n\n#create data frame\n<\/span>d_frame <- data. frame<\/span> (x=rnorm(200),\n                      y=rnorm(200),\n                      z=rnorm(200))\n#view data frame\n<\/span>d_frame\n\n               X Y Z\n1 -0.055303118 1.54858564 -2.065337e-02\n2 0.354143920 0.36706204 -3.743962e-01\n3 -0.999823809 -1.57842544 4.392027e-01\n4 2.586214840 0.17383147 -2.081125e+00\n5 -1.917692199 -2.11487401 4.073522e-01\n6 0.039614766 2.21644236 1.869164e+00\n7 -1.942259548 0.81566443 4.740712e-01\n8 -0.424913746 1.01081030 4.996065e-01\n9 -1.753210825 -0.98893038 -6.290307e-01\n10 0.232382655 -1.25229873 -1.324883e+00\n11 0.027278832 0.44209325 -3.221920e-01\n...\n#create data table\n<\/span>d_table <- setDT(d_frame)\n\n#view data table\n<\/span>d_table\n\n               X Y Z\n  1: -0.05530312 1.54858564 -0.02065337\n  2: 0.35414392 0.36706204 -0.37439617\n  3: -0.99982381 -1.57842544 0.43920275\n  4: 2.58621484 0.17383147 -2.08112491\n  5: -1.91769220 -2.11487401 0.40735218\n ---                                    \n196: -0.06196178 1.08164065 0.58609090\n197: 0.34160667 -0.01886703 1.61296255\n198: -0.38361957 -0.03890329 0.71377217\n199: -0.80719743 -0.89674205 -0.49615702\n200: -0.26502679 -0.15887435 -1.73781026<\/strong><\/pre>\n
 \u104e\u1004\u103a\u1038\u101e\u100a\u103a data.frame<\/strong> \u1011\u1000\u103a data.frame<\/strong> \u1019\u103e \u1015\u1031\u1038\u1006\u1031\u102c\u1004\u103a\u101e\u100a\u1037\u103a \u1021\u102c\u1038\u101e\u102c\u1001\u103b\u1000\u103a\u1016\u103c\u1005\u103a\u1015\u102b\u101e\u100a\u103a\u104a \u1021\u1011\u1030\u1038\u101e\u1016\u103c\u1004\u1037\u103a \u101e\u1004\u103a\u101e\u100a\u103a \u1000\u103d\u1014\u103a\u1006\u102d\u102f\u1038\u101c\u103a\u101e\u102d\u102f\u1037 \u1019\u1010\u1031\u102c\u103a\u1010\u1006 print \u1011\u102f\u1010\u103a\u1001\u103c\u1004\u103a\u1038\u1019\u1015\u103c\u102f\u101c\u102d\u102f\u101e\u1031\u102c \u1000\u103c\u102e\u1038\u1019\u102c\u1038\u101e\u1031\u102c\u1012\u1031\u1010\u102c\u1021\u1010\u103d\u1032\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a \u1021\u101c\u102f\u1015\u103a\u101c\u102f\u1015\u103a\u101e\u1031\u102c\u1021\u1001\u102b\u1010\u103d\u1004\u103a\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1011\u1015\u103a\u101c\u1031\u102c\u1004\u103a\u1038\u1021\u101b\u1004\u103a\u1038\u1021\u1019\u103c\u1005\u103a\u1019\u103b\u102c\u1038<\/strong><\/span><\/h2>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a R \u1010\u103d\u1004\u103a \u1021\u1001\u103c\u102c\u1038\u1018\u102f\u1036\u1021\u101c\u102f\u1015\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
 R \u101b\u103e\u102d \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u101e\u102d\u102f\u1037 \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1011\u100a\u1037\u103a\u1014\u100a\u103a\u1038<\/a>
 R \u1010\u103d\u1004\u103a \u1021\u1001\u103b\u102d\u102f\u1037\u101e\u1031\u102c\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1011\u102d\u1014\u103a\u1038\u101e\u102d\u1019\u103a\u1038\u1014\u100a\u103a\u1038<\/a>
 R \u1010\u103d\u1004\u103a \u1002\u100f\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u101e\u102c \u101b\u103d\u1031\u1038\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
R \u1015\u101b\u102d\u102f\u1002\u101b\u1019\u103a\u1038\u1019\u1004\u103a\u1038\u1018\u102c\u101e\u102c\u1005\u1000\u102c\u1038\u1010\u103d\u1004\u103a data.frame \u101e\u100a\u103a R \u1012\u1031\u1010\u102c\u1018\u1031\u1037\u1005\u103a\u104f \u1021\u1005\u102d\u1010\u103a\u1021\u1015\u102d\u102f\u1004\u103a\u1038\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b data.table \u1015\u1000\u103a\u1000\u1031\u1037\u1002\u103b\u103a\u104f setDF \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1019\u100a\u103a\u101e\u100a\u1037\u103a data.frame \u1000\u102d\u102f data.table \u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b data.table \u101e\u100a\u103a R \u101b\u103e\u102d data.frame \u1010\u1005\u103a\u1001\u102f\u1011\u1000\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u102c\u1038\u101e\u102c\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u1031\u1038\u1006\u1031\u102c\u1004\u103a\u101e\u100a\u103a- 1. data.table \u1010\u1005\u103a\u1001\u102f\u101e\u102d\u102f\u1037 \u1016\u102d\u102f\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u101e\u102d\u102f\u1037 \u1016\u102d\u102f\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u1016\u1010\u103a\u101b\u1014\u103a fread function \u1000\u102d\u102f data.table \u1010\u1005\u103a\u1001\u102f\u101e\u102d\u102f\u1037 \u1016\u1010\u103a\u101b\u1014\u103a read.csv \u1000\u1032\u1037\u101e\u102d\u102f\u1037\u101e\u1031\u102c \u1021\u1001\u103c\u1031\u1001\u1036 R function \u1019\u103b\u102c\u1038\u1011\u1000\u103a \u1019\u103b\u102c\u1038\u1005\u103d\u102c \u1015\u102d\u102f\u1019\u103c\u1014\u103a\u101e\u100a\u103a\u104a data.frame \u1011\u1032\u101e\u102d\u102f\u1037 \u1016\u102d\u102f\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u1010\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b 2. data.table \u1010\u1005\u103a\u1001\u102f\u1015\u1031\u102b\u103a\u1010\u103d\u1004\u103a data.frame \u1011\u1000\u103a \u1019\u103b\u102c\u1038\u1005\u103d\u102c […]<\/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":"\ndata.table \u1014\u103e\u1004\u1037\u103a R \u101b\u103e\u102d \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a- \u1021\u1013\u102d\u1000 \u1000\u103d\u102c\u1001\u103c\u102c\u1038\u1001\u103b\u1000\u103a \u101e\u102f\u1036\u1038\u1001\u102f - Statorials<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u1021\u1015\u102b\u1021\u101d\u1004\u103a data.tables \u1014\u103e\u1004\u1037\u103a R \u101b\u103e\u102d \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u103c\u102c\u1038 \u1021\u1013\u102d\u1000\u1000\u103d\u102c\u1001\u103c\u102c\u1038\u1001\u103b\u1000\u103a\u1019\u103b\u102c\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\/data-table-vs-data-frame-r\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"data.table \u1014\u103e\u1004\u1037\u103a R \u101b\u103e\u102d \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a- \u1021\u1013\u102d\u1000 \u1000\u103d\u102c\u1001\u103c\u102c\u1038\u1001\u103b\u1000\u103a \u101e\u102f\u1036\u1038\u1001\u102f - Statorials\" \/>\n<meta property=\"og:description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u1021\u1015\u102b\u1021\u101d\u1004\u103a data.tables \u1014\u103e\u1004\u1037\u103a R \u101b\u103e\u102d \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u103c\u102c\u1038 \u1021\u1013\u102d\u1000\u1000\u103d\u102c\u1001\u103c\u102c\u1038\u1001\u103b\u1000\u103a\u1019\u103b\u102c\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\/data-table-vs-data-frame-r\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-16T12:37:36+00:00\" \/>\n<meta name=\"author\" content=\"Benjamin Anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin Anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/my\/data-table-vs-data-frame-r\/\",\"url\":\"https:\/\/statorials.org\/my\/data-table-vs-data-frame-r\/\",\"name\":\"data.table \u1014\u103e\u1004\u1037\u103a R \u101b\u103e\u102d \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a- \u1021\u1013\u102d\u1000 \u1000\u103d\u102c\u1001\u103c\u102c\u1038\u1001\u103b\u1000\u103a \u101e\u102f\u1036\u1038\u1001\u102f - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/my\/#website\"},\"datePublished\":\"2023-07-16T12:37:36+00:00\",\"dateModified\":\"2023-07-16T12:37:36+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 \u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u1021\u1015\u102b\u1021\u101d\u1004\u103a data.tables \u1014\u103e\u1004\u1037\u103a R \u101b\u103e\u102d \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u103c\u102c\u1038 \u1021\u1013\u102d\u1000\u1000\u103d\u102c\u1001\u103c\u102c\u1038\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f 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