{"id":3616,"date":"2023-07-16T12:37:36","date_gmt":"2023-07-16T12:37:36","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d1%82%d0%b0%d0%b1%d0%bb%d0%b8%d1%86%d0%b0-%d0%b4%d0%b0%d0%bd%d0%bd%d1%8b%d1%85-%d0%b8-%d1%84%d1%80%d0%b5%d0%b8%d0%bc-%d0%b4%d0%b0%d0%bd%d0%bd%d1%8b%d1%85-%d0%b2-r\/"},"modified":"2023-07-16T12:37:36","modified_gmt":"2023-07-16T12:37:36","slug":"%d1%82%d0%b0%d0%b1%d0%bb%d0%b8%d1%86%d0%b0-%d0%b4%d0%b0%d0%bd%d0%bd%d1%8b%d1%85-%d0%b8-%d1%84%d1%80%d0%b5%d0%b8%d0%bc-%d0%b4%d0%b0%d0%bd%d0%bd%d1%8b%d1%85-%d0%b2-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d1%82%d0%b0%d0%b1%d0%bb%d0%b8%d1%86%d0%b0-%d0%b4%d0%b0%d0%bd%d0%bd%d1%8b%d1%85-%d0%b8-%d1%84%d1%80%d0%b5%d0%b8%d0%bc-%d0%b4%d0%b0%d0%bd%d0%bd%d1%8b%d1%85-%d0%b2-r\/","title":{"rendered":"Data.table \u0438 dataframe \u0432 r: \u0442\u0440\u0438 \u043a\u043b\u044e\u0447\u0435\u0432\u044b\u0445 \u043e\u0442\u043b\u0438\u0447\u0438\u044f"},"content":{"rendered":"

<\/p>\n

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\u041d\u0430 \u044f\u0437\u044b\u043a\u0435 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f R data.frame<\/strong> \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0447\u0430\u0441\u0442\u044c\u044e \u0431\u0430\u0437\u044b \u0434\u0430\u043d\u043d\u044b\u0445 R.<\/span><\/p>\n

\u041b\u044e\u0431\u043e\u0439 data.frame<\/strong> \u043c\u043e\u0436\u043d\u043e \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u0442\u044c \u0432 data.table<\/strong> \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0444\u0443\u043d\u043a\u0446\u0438\u0438 setDF<\/strong> \u043f\u0430\u043a\u0435\u0442\u0430 data.table<\/strong> .<\/span><\/p>\n

Data.table \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u0435\u0442 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u043f\u0440\u0435\u0438\u043c\u0443\u0449\u0435\u0441\u0442\u0432\u0430 \u043f\u0435\u0440\u0435\u0434 data.frame \u0432 R:<\/span><\/p>\n

1.<\/strong> \u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u044e fread<\/a> \u0438\u0437 \u043f\u0430\u043a\u0435\u0442\u0430 data.table \u0434\u043b\u044f \u0447\u0442\u0435\u043d\u0438\u044f \u0444\u0430\u0439\u043b\u0430 \u0432 data.table \u043d\u0430\u043c\u043d\u043e\u0433\u043e<\/em> \u0431\u044b\u0441\u0442\u0440\u0435\u0435, \u0447\u0435\u043c \u0431\u0430\u0437\u043e\u0432\u044b\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 R, \u0442\u0430\u043a\u0438\u0435 \u043a\u0430\u043a read.csv<\/a> , \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0441\u0447\u0438\u0442\u044b\u0432\u0430\u044e\u0442 \u0444\u0430\u0439\u043b\u044b \u0432 data.frame.<\/span><\/p>\n

2.<\/strong> \u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438 (\u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0433\u0440\u0443\u043f\u043f\u0438\u0440\u043e\u0432\u043a\u0443 \u0438 \u0430\u0433\u0440\u0435\u0433\u0430\u0446\u0438\u044e) \u043d\u0430\u0434 \u0442\u0430\u0431\u043b\u0438\u0446\u0435\u0439 \u0434\u0430\u043d\u043d\u044b\u0445 \u0433\u043e\u0440\u0430\u0437\u0434\u043e<\/em> \u0431\u044b\u0441\u0442\u0440\u0435\u0435, \u0447\u0435\u043c \u043d\u0430\u0434 \u0444\u0440\u0435\u0439\u043c\u043e\u043c \u0434\u0430\u043d\u043d\u044b\u0445.<\/span><\/p>\n

3.<\/strong> \u041f\u0440\u0438 \u043f\u0435\u0447\u0430\u0442\u0438 data.frame \u043d\u0430 \u043a\u043e\u043d\u0441\u043e\u043b\u044c R \u043f\u043e\u043f\u044b\u0442\u0430\u0435\u0442\u0441\u044f \u043d\u0430\u043f\u0435\u0447\u0430\u0442\u0430\u0442\u044c \u043a\u0430\u0436\u0434\u0443\u044e \u0441\u0442\u0440\u043e\u043a\u0443 \u0432 data.frame. \u041e\u0434\u043d\u0430\u043a\u043e \u0442\u0430\u0431\u043b\u0438\u0446\u0430 data.table \u0431\u0443\u0434\u0435\u0442 \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u0442\u044c \u0442\u043e\u043b\u044c\u043a\u043e \u043f\u0435\u0440\u0432\u044b\u0435 100 \u0441\u0442\u0440\u043e\u043a, \u0447\u0442\u043e \u043c\u043e\u0436\u0435\u0442 \u043f\u0440\u0435\u0434\u043e\u0442\u0432\u0440\u0430\u0442\u0438\u0442\u044c \u0437\u0430\u0432\u0438\u0441\u0430\u043d\u0438\u0435 \u0438\u043b\u0438 \u0441\u0431\u043e\u0439 \u0432\u0430\u0448\u0435\u0433\u043e \u0441\u0435\u0430\u043d\u0441\u0430, \u0435\u0441\u043b\u0438 \u0432\u044b \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442\u0435 \u0441 \u0431\u043e\u043b\u044c\u0448\u0438\u043c \u043d\u0430\u0431\u043e\u0440\u043e\u043c \u0434\u0430\u043d\u043d\u044b\u0445.<\/span><\/p>\n

\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u043f\u0440\u0438\u043c\u0435\u0440\u044b \u0438\u043b\u043b\u044e\u0441\u0442\u0440\u0438\u0440\u0443\u044e\u0442 \u044d\u0442\u0438 \u0440\u0430\u0437\u043b\u0438\u0447\u0438\u044f \u043c\u0435\u0436\u0434\u0443 data.frames \u0438 data.tables \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435.<\/span><\/p>\n

\u041e\u0442\u043b\u0438\u0447\u0438\u0435 \u21161: \u0431\u043e\u043b\u0435\u0435 \u0431\u044b\u0441\u0442\u0440\u044b\u0439 \u0438\u043c\u043f\u043e\u0440\u0442 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e fread<\/strong><\/span><\/h2>\n

\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u0438\u043c\u043f\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0444\u0440\u0435\u0439\u043c \u0434\u0430\u043d\u043d\u044b\u0445 \u0438\u0437 10 000 \u0441\u0442\u0440\u043e\u043a \u0438 100 \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0444\u0443\u043d\u043a\u0446\u0438\u0438 fread<\/strong> \u0438\u0437 \u043f\u0430\u043a\u0435\u0442\u0430 data.table \u0438 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 read.csv<\/strong> \u0438\u0437 \u0431\u0430\u0437\u044b \u0434\u0430\u043d\u043d\u044b\u0445 R:<\/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
 \u0418\u0437 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u043e\u0432 \u043c\u044b \u0432\u0438\u0434\u0438\u043c, \u0447\u0442\u043e fread<\/strong> \u0438\u043c\u043f\u043e\u0440\u0442\u0438\u0440\u0443\u0435\u0442 \u044d\u0442\u043e\u0442 CSV-\u0444\u0430\u0439\u043b \u043f\u0440\u0438\u043c\u0435\u0440\u043d\u043e \u0432 10 \u0440\u0430\u0437 \u0431\u044b\u0441\u0442\u0440\u0435\u0435, \u0447\u0435\u043c \u0444\u0443\u043d\u043a\u0446\u0438\u044f read.csv<\/strong> .<\/span><\/p>\n
 \u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u044d\u0442\u0430 \u0440\u0430\u0437\u043d\u0438\u0446\u0430 \u0431\u0443\u0434\u0435\u0442 \u0435\u0449\u0435 \u0431\u043e\u043b\u044c\u0448\u0435 \u0434\u043b\u044f \u0431\u043e\u043b\u044c\u0448\u0438\u0445 \u043d\u0430\u0431\u043e\u0440\u043e\u0432 \u0434\u0430\u043d\u043d\u044b\u0445.<\/span><\/p>\n
 \u041e\u0442\u043b\u0438\u0447\u0438\u0435 \u21162: \u0431\u043e\u043b\u0435\u0435 \u0431\u044b\u0441\u0442\u0440\u0430\u044f \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e data.table.<\/strong><\/span><\/h2>\n
 \u0412 \u043e\u0431\u0449\u0435\u043c, data.table<\/strong> \u0442\u0430\u043a\u0436\u0435 \u043c\u043e\u0436\u0435\u0442 \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c \u043b\u044e\u0431\u0443\u044e \u0437\u0430\u0434\u0430\u0447\u0443 \u043f\u043e \u043c\u0430\u043d\u0438\u043f\u0443\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044e \u0434\u0430\u043d\u043d\u044b\u043c\u0438 \u043d\u0430\u043c\u043d\u043e\u0433\u043e \u0431\u044b\u0441\u0442\u0440\u0435\u0435, \u0447\u0435\u043c data.frame<\/strong> .<\/span><\/p>\n
 \u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u0432\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u044c \u0441\u0440\u0435\u0434\u043d\u0435\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439, \u0441\u0433\u0440\u0443\u043f\u043f\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0439 \u043f\u043e \u0434\u0440\u0443\u0433\u043e\u0439 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439 \u043a\u0430\u043a \u0432 data.table, \u0442\u0430\u043a \u0438 \u0432 data.frame:<\/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
 \u0418\u0437 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u043e\u0432 \u043c\u044b \u0432\u0438\u0434\u0438\u043c, \u0447\u0442\u043e data.table<\/strong> \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442 \u043f\u0440\u0438\u043c\u0435\u0440\u043d\u043e \u0432 \u0442\u0440\u0438 \u0440\u0430\u0437\u0430 \u0431\u044b\u0441\u0442\u0440\u0435\u0435, \u0447\u0435\u043c data.frame<\/strong> .<\/span><\/p>\n
 \u0414\u043b\u044f \u0431\u043e\u043b\u044c\u0448\u0438\u0445 \u043d\u0430\u0431\u043e\u0440\u043e\u0432 \u0434\u0430\u043d\u043d\u044b\u0445 \u044d\u0442\u0430 \u0440\u0430\u0437\u043d\u0438\u0446\u0430 \u0431\u0443\u0434\u0435\u0442 \u0435\u0449\u0435 \u0431\u043e\u043b\u044c\u0448\u0435.<\/span><\/p>\n
 \u041e\u0442\u043b\u0438\u0447\u0438\u0435 \u21163: \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e data.table \u043f\u0435\u0447\u0430\u0442\u0430\u0435\u0442\u0441\u044f \u043c\u0435\u043d\u044c\u0448\u0435 \u0441\u0442\u0440\u043e\u043a.<\/strong><\/span><\/h2>\n
 \u041f\u0440\u0438 \u043f\u0435\u0447\u0430\u0442\u0438 data.frame<\/strong> \u043d\u0430 \u043a\u043e\u043d\u0441\u043e\u043b\u044c R \u043f\u043e\u043f\u044b\u0442\u0430\u0435\u0442\u0441\u044f \u043d\u0430\u043f\u0435\u0447\u0430\u0442\u0430\u0442\u044c \u043a\u0430\u0436\u0434\u0443\u044e \u0441\u0442\u0440\u043e\u043a\u0443 \u0432 data.frame.<\/span><\/p>\n
 \u041e\u0434\u043d\u0430\u043a\u043e \u0442\u0430\u0431\u043b\u0438\u0446\u0430 data.table<\/strong> \u0431\u0443\u0434\u0435\u0442 \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u0442\u044c \u0442\u043e\u043b\u044c\u043a\u043e \u043f\u0435\u0440\u0432\u044b\u0435 100 \u0441\u0442\u0440\u043e\u043a, \u0447\u0442\u043e \u043c\u043e\u0436\u0435\u0442 \u043f\u0440\u0435\u0434\u043e\u0442\u0432\u0440\u0430\u0442\u0438\u0442\u044c \u0437\u0430\u0432\u0438\u0441\u0430\u043d\u0438\u0435 \u0438\u043b\u0438 \u0441\u0431\u043e\u0439 \u0432\u0430\u0448\u0435\u0433\u043e \u0441\u0435\u0430\u043d\u0441\u0430, \u0435\u0441\u043b\u0438 \u0432\u044b \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442\u0435 \u0441 \u0431\u043e\u043b\u044c\u0448\u0438\u043c \u043d\u0430\u0431\u043e\u0440\u043e\u043c \u0434\u0430\u043d\u043d\u044b\u0445.<\/span><\/p>\n
 \u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0432 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u043a\u043e\u0434\u0435 \u043c\u044b \u0441\u043e\u0437\u0434\u0430\u0435\u043c \u043a\u0430\u043a \u0444\u0440\u0435\u0439\u043c \u0434\u0430\u043d\u043d\u044b\u0445, \u0442\u0430\u043a \u0438 \u0442\u0430\u0431\u043b\u0438\u0446\u0443 \u0434\u0430\u043d\u043d\u044b\u0445 \u0438\u0437 200 \u0441\u0442\u0440\u043e\u043a.<\/span><\/p>\n
 \u041f\u0440\u0438 \u043f\u0435\u0447\u0430\u0442\u0438 data.frame R \u043f\u043e\u043f\u044b\u0442\u0430\u0435\u0442\u0441\u044f \u043d\u0430\u043f\u0435\u0447\u0430\u0442\u0430\u0442\u044c \u043a\u0430\u0436\u0434\u0443\u044e \u0441\u0442\u0440\u043e\u043a\u0443, \u0430 \u043f\u0440\u0438 \u043f\u0435\u0447\u0430\u0442\u0438 data.table \u043e\u0442\u043e\u0431\u0440\u0430\u0437\u044f\u0442\u0441\u044f \u0442\u043e\u043b\u044c\u043a\u043e \u043f\u0435\u0440\u0432\u044b\u0435 \u043f\u044f\u0442\u044c \u0441\u0442\u0440\u043e\u043a \u0438 \u043f\u043e\u0441\u043b\u0435\u0434\u043d\u0438\u0435 \u043f\u044f\u0442\u044c \u0441\u0442\u0440\u043e\u043a:<\/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
 \u042d\u0442\u043e \u043f\u0440\u0435\u0438\u043c\u0443\u0449\u0435\u0441\u0442\u0432\u043e data.table<\/strong> \u043f\u0435\u0440\u0435\u0434 data.frame<\/strong> , \u043e\u0441\u043e\u0431\u0435\u043d\u043d\u043e \u043f\u0440\u0438 \u0440\u0430\u0431\u043e\u0442\u0435 \u0441 \u0431\u043e\u043b\u044c\u0448\u0438\u043c\u0438 \u043d\u0430\u0431\u043e\u0440\u0430\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u0445, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0432\u044b \u043d\u0435 \u0445\u043e\u0442\u0438\u0442\u0435 \u0441\u043b\u0443\u0447\u0430\u0439\u043d\u043e \u0432\u044b\u0432\u0435\u0441\u0442\u0438 \u043d\u0430 \u043a\u043e\u043d\u0441\u043e\u043b\u044c.<\/span><\/p>\n
 \u0414\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0440\u0435\u0441\u0443\u0440\u0441\u044b<\/strong><\/span><\/h2>\n
 \u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0430\u0445 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c \u0434\u0440\u0443\u0433\u0438\u0435 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u043d\u044b\u0435 \u0437\u0430\u0434\u0430\u0447\u0438 \u0432 R:<\/span><\/p>\n
 \u041a\u0430\u043a \u0434\u043e\u0431\u0430\u0432\u0438\u0442\u044c \u0441\u0442\u0440\u043e\u043a\u0438 \u0432\u043e \u0444\u0440\u0435\u0439\u043c \u0434\u0430\u043d\u043d\u044b\u0445 \u0432 R<\/a>
 \u041a\u0430\u043a \u0441\u043e\u0445\u0440\u0430\u043d\u0438\u0442\u044c \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0435 \u0441\u0442\u043e\u043b\u0431\u0446\u044b \u0432 R<\/a>
 \u041a\u0430\u043a \u0432\u044b\u0431\u0440\u0430\u0442\u044c \u0442\u043e\u043b\u044c\u043a\u043e \u0447\u0438\u0441\u043b\u043e\u0432\u044b\u0435 \u0441\u0442\u043e\u043b\u0431\u0446\u044b \u0432 R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u041d\u0430 \u044f\u0437\u044b\u043a\u0435 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f R data.frame \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0447\u0430\u0441\u0442\u044c\u044e \u0431\u0430\u0437\u044b \u0434\u0430\u043d\u043d\u044b\u0445 R. \u041b\u044e\u0431\u043e\u0439 data.frame \u043c\u043e\u0436\u043d\u043e \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u0442\u044c \u0432 data.table \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0444\u0443\u043d\u043a\u0446\u0438\u0438 setDF \u043f\u0430\u043a\u0435\u0442\u0430 data.table . Data.table \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u0435\u0442 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u043f\u0440\u0435\u0438\u043c\u0443\u0449\u0435\u0441\u0442\u0432\u0430 \u043f\u0435\u0440\u0435\u0434 data.frame \u0432 R: 1. \u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u044e fread \u0438\u0437 \u043f\u0430\u043a\u0435\u0442\u0430 data.table \u0434\u043b\u044f \u0447\u0442\u0435\u043d\u0438\u044f \u0444\u0430\u0439\u043b\u0430 \u0432 data.table \u043d\u0430\u043c\u043d\u043e\u0433\u043e \u0431\u044b\u0441\u0442\u0440\u0435\u0435, \u0447\u0435\u043c \u0431\u0430\u0437\u043e\u0432\u044b\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 R, \u0442\u0430\u043a\u0438\u0435 \u043a\u0430\u043a read.csv , […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-3616","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\ndata.table \u0438 dataframe \u0432 R: \u0442\u0440\u0438 \u043a\u043b\u044e\u0447\u0435\u0432\u044b\u0445 \u043e\u0442\u043b\u0438\u0447\u0438\u044f<\/title>\n<meta name=\"description\" content=\"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u044e\u0442\u0441\u044f \u043e\u0441\u043d\u043e\u0432\u043d\u044b\u0435 \u0440\u0430\u0437\u043b\u0438\u0447\u0438\u044f \u043c\u0435\u0436\u0434\u0443 data.tables \u0438 \u0444\u0440\u0435\u0439\u043c\u0430\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 \u0432 R, \u0432\u043a\u043b\u044e\u0447\u0430\u044f \u043f\u0440\u0438\u043c\u0435\u0440\u044b.\" \/>\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\/ru\/\u0442\u0430\u0431\u043b\u0438\u0446\u0430-\u0434\u0430\u043d\u043d\u044b\u0445-\u0438-\u0444\u0440\u0435\u0438\u043c-\u0434\u0430\u043d\u043d\u044b\u0445-\u0432-r\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"data.table \u0438 dataframe \u0432 R: \u0442\u0440\u0438 \u043a\u043b\u044e\u0447\u0435\u0432\u044b\u0445 \u043e\u0442\u043b\u0438\u0447\u0438\u044f\" \/>\n<meta property=\"og:description\" content=\"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u044e\u0442\u0441\u044f \u043e\u0441\u043d\u043e\u0432\u043d\u044b\u0435 \u0440\u0430\u0437\u043b\u0438\u0447\u0438\u044f \u043c\u0435\u0436\u0434\u0443 data.tables \u0438 \u0444\u0440\u0435\u0439\u043c\u0430\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 \u0432 R, \u0432\u043a\u043b\u044e\u0447\u0430\u044f \u043f\u0440\u0438\u043c\u0435\u0440\u044b.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ru\/\u0442\u0430\u0431\u043b\u0438\u0446\u0430-\u0434\u0430\u043d\u043d\u044b\u0445-\u0438-\u0444\u0440\u0435\u0438\u043c-\u0434\u0430\u043d\u043d\u044b\u0445-\u0432-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=\"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u041d\u0430\u043f\u0438\u0441\u0430\u043d\u043e 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