{"id":953,"date":"2023-07-28T04:49:24","date_gmt":"2023-07-28T04:49:24","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d1%80%d0%b0%d1%81%d0%bf%d0%b5%d1%87%d0%b0%d1%82%d0%b0%d1%82%d1%8c-%d0%b2%d1%81%d0%b5-%d1%81%d1%82%d1%80%d0%be%d0%ba%d0%b8-tibble-r\/"},"modified":"2023-07-28T04:49:24","modified_gmt":"2023-07-28T04:49:24","slug":"%d1%80%d0%b0%d1%81%d0%bf%d0%b5%d1%87%d0%b0%d1%82%d0%b0%d1%82%d1%8c-%d0%b2%d1%81%d0%b5-%d1%81%d1%82%d1%80%d0%be%d0%ba%d0%b8-tibble-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d1%80%d0%b0%d1%81%d0%bf%d0%b5%d1%87%d0%b0%d1%82%d0%b0%d1%82%d1%8c-%d0%b2%d1%81%d0%b5-%d1%81%d1%82%d1%80%d0%be%d0%ba%d0%b8-tibble-r\/","title":{"rendered":"\u041a\u0430\u043a \u0440\u0430\u0441\u043f\u0435\u0447\u0430\u0442\u0430\u0442\u044c \u0432\u0441\u0435 \u0441\u0442\u0440\u043e\u043a\u0438 tibble \u0432 r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u0422\u0438\u0431\u0431\u043b<\/strong> \u2014 \u044d\u0442\u043e \u0444\u0440\u0435\u0439\u043c \u0434\u0430\u043d\u043d\u044b\u0445 \u0432 R, \u0438\u043c\u0435\u044e\u0449\u0438\u0439 \u0443\u0441\u043e\u0432\u0435\u0440\u0448\u0435\u043d\u0441\u0442\u0432\u043e\u0432\u0430\u043d\u043d\u044b\u0439 \u043c\u0435\u0442\u043e\u0434 \u043f\u0435\u0447\u0430\u0442\u0438, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u0435\u0442 \u0442\u043e\u043b\u044c\u043a\u043e \u043f\u0435\u0440\u0432\u044b\u0435 10 \u0441\u0442\u0440\u043e\u043a \u0444\u0440\u0435\u0439\u043c\u0430 \u0434\u0430\u043d\u043d\u044b\u0445. \u042d\u0442\u043e \u0437\u043d\u0430\u0447\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u0443\u043f\u0440\u043e\u0449\u0430\u0435\u0442 \u0440\u0430\u0431\u043e\u0442\u0443 \u0441 \u0431\u043e\u043b\u044c\u0448\u0438\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u043c\u0438 \u0438 \u043d\u0435 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 R \u043f\u044b\u0442\u0430\u0442\u044c\u0441\u044f \u043e\u0442\u043e\u0431\u0440\u0430\u0437\u0438\u0442\u044c \u043a\u0430\u0436\u0434\u0443\u044e \u0441\u0442\u0440\u043e\u043a\u0443 \u0432\u043e \u0444\u0440\u0435\u0439\u043c\u0435 \u0434\u0430\u043d\u043d\u044b\u0445.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0440\u0430\u0441\u0441\u043c\u043e\u0442\u0440\u0438\u043c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0442\u0438\u0431\u0431\u043b \u0441 80 \u0441\u0442\u0440\u043e\u043a\u0430\u043c\u0438 \u0438 2 \u0441\u0442\u043e\u043b\u0431\u0446\u0430\u043c\u0438:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load dplyr\n<span style=\"color: #000000;\">library(dplyr)<\/span>\n\n#make this example reproducible\n<span style=\"color: #000000;\">set.seed(1)<\/span>\n\n#create tibble<\/span>\ndata &lt;- tibble(a = rnorm(80),\n               b = rnorm(80))\n<\/strong>\n<strong><span style=\"color: #008080;\">#view tibble\n<\/span>data\n\n# A tibble: 80 x 2\n        ab\n      \n 1 -0.626 -0.569\n 2 0.184 -0.135\n 3 -0.836 1.18 \n 4 1.60 -1.52 \n 5 0.330 0.594\n 6 -0.820 0.333\n 7 0.487 1.06 \n 8 0.738 -0.304\n 9 0.576 0.370\n10 -0.305 0.267\n# ... with 70 more rows<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041a\u043e\u0433\u0434\u0430 \u043c\u044b \u0432\u0432\u043e\u0434\u0438\u043c \u0438\u043c\u044f \u0442\u0438\u0431\u0431\u043b\u0430 \u0432 R, \u043f\u043e \u0443\u043c\u043e\u043b\u0447\u0430\u043d\u0438\u044e \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u044e\u0442\u0441\u044f \u0442\u043e\u043b\u044c\u043a\u043e \u043f\u0435\u0440\u0432\u044b\u0435 10 \u0441\u0442\u0440\u043e\u043a. \u041e\u0434\u043d\u0430\u043a\u043e \u044d\u0442\u043e \u0433\u043e\u0432\u043e\u0440\u0438\u0442 \u043d\u0430\u043c \u043e \u0442\u043e\u043c, \u0447\u0442\u043e \u0435\u0441\u0442\u044c <strong>70 \u0434\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0445 \u0441\u0442\u0440\u043e\u043a<\/strong> , \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043d\u0435 \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u044e\u0442\u0441\u044f.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041d\u043e \u0432 \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0441\u043b\u0443\u0447\u0430\u044f\u0445 \u0432\u0430\u043c \u043c\u043e\u0436\u0435\u0442 \u043f\u043e\u0442\u0440\u0435\u0431\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u0443\u0432\u0438\u0434\u0435\u0442\u044c \u0431\u043e\u043b\u0435\u0435 10 \u0441\u0442\u0440\u043e\u043a \u0442\u0438\u0431\u0431\u043b\u0430.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0447\u0430\u043d\u0438\u0435.<\/strong> \u0415\u0441\u043b\u0438 \u0432\u044b \u043d\u043e\u0432\u0438\u0447\u043e\u043a \u0432 tibbles, \u043b\u0443\u0447\u0448\u0435 \u0432\u0441\u0435\u0433\u043e \u043d\u0430\u0447\u0430\u0442\u044c \u0441 <a href=\"https:\/\/r4ds.had.co.nz\/tibbles.html\" target=\"_blank\" rel=\"noopener noreferrer\">\u0433\u043b\u0430\u0432\u044b tibbles \u043a\u043d\u0438\u0433\u0438<\/a> <em>R for Data Science<\/em> .<\/span><\/p>\n<h3> <strong>\u0420\u0430\u0441\u043f\u0435\u0447\u0430\u0442\u0430\u0442\u044c \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u043e\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0441\u0442\u0440\u043e\u043a \u0438\u0437 Tibble<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">\u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u043d\u0430\u043f\u0435\u0447\u0430\u0442\u0430\u0442\u044c \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u043e\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0441\u0442\u0440\u043e\u043a \u0442\u0438\u0431\u0431\u043b\u0430, \u0443\u043a\u0430\u0437\u0430\u0432 \u0447\u0438\u0441\u043b\u043e \u0432 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 <strong>print()<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#print first 20 rows of tibble<\/span>\nprint(data, n= <span style=\"color: #008000;\">20<\/span> )\n<\/strong><strong>\n# A tibble: 80 x 2\n         ab\n       \n 1 -0.626 -0.569\n 2 0.184 -0.135\n 3 -0.836 1.18 \n 4 1.60 -1.52 \n 5 0.330 0.594\n 6 -0.820 0.333\n 7 0.487 1.06 \n 8 0.738 -0.304\n 9 0.576 0.370\n10 -0.305 0.267\n11 1.51 -0.543\n12 0.390 1.21 \n13 -0.621 1.16 \n14 -2.21 0.700\n15 1.12 1.59 \n16 -0.0449 0.558\n17 -0.0162 -1.28 \n18 0.944 -0.573\n19 0.821 -1.22 \n20 0.594 -0.473\n# ... with 60 more rows<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0412\u044b \u0442\u0430\u043a\u0436\u0435 \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043e\u043f\u0435\u0440\u0430\u0442\u043e\u0440 \u043a\u0430\u043d\u0430\u043b\u0430 \u0434\u043b\u044f \u0434\u043e\u0441\u0442\u0438\u0436\u0435\u043d\u0438\u044f \u0442\u043e\u0433\u043e \u0436\u0435 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0430:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#print first 20 rows of tibble<\/span>\ndata %&gt;% print(n= <span style=\"color: #008000;\">20<\/span> )\n<\/strong><strong>\n# A tibble: 80 x 2\n         ab\n       \n 1 -0.626 -0.569\n 2 0.184 -0.135\n 3 -0.836 1.18 \n 4 1.60 -1.52 \n 5 0.330 0.594\n 6 -0.820 0.333\n 7 0.487 1.06 \n 8 0.738 -0.304\n 9 0.576 0.370\n10 -0.305 0.267\n11 1.51 -0.543\n12 0.390 1.21 \n13 -0.621 1.16 \n14 -2.21 0.700\n15 1.12 1.59 \n16 -0.0449 0.558\n17 -0.0162 -1.28 \n18 0.944 -0.573\n19 0.821 -1.22 \n20 0.594 -0.473\n# ... with 60 more rows<\/strong><\/pre>\n<h3> <strong>\u0420\u0430\u0441\u043f\u0435\u0447\u0430\u0442\u0430\u0442\u044c \u0432\u0441\u0435 \u0441\u0442\u0440\u043e\u043a\u0438 Tibble<\/strong><\/h3>\n<p> <span style=\"color: #000000;\">\u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0440\u0430\u0441\u043f\u0435\u0447\u0430\u0442\u0430\u0442\u044c \u043a\u0430\u0436\u0434\u0443\u044e \u0441\u0442\u0440\u043e\u043a\u0443 \u0442\u0438\u0431\u0431\u043b\u0430, \u0443\u043a\u0430\u0437\u0430\u0432 <strong>n = Inf<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#print all rows of tibble<\/span>\ndata %&gt;% print(n= <span style=\"color: #008000;\">Inf<\/span> )\n<\/strong><strong>\n# A tibble: 80 x 2\n          ab\n         \n 1 -0.626 -0.569 \n 2 0.184 -0.135 \n 3 -0.836 1.18  \n 4 1.60 -1.52  \n 5 0.330 0.594 \n 6 -0.820 0.333 \n 7 0.487 1.06  \n 8 0.738 -0.304 \n 9 0.576 0.370 \n10 -0.305 0.267 \n11 1.51 -0.543 \n12 0.390 1.21  \n13 -0.621 1.16  \n14 -2.21 0.700 \n15 1.12 1.59  \n16 -0.0449 0.558 \n17 -0.0162 -1.28  \n18 0.944 -0.573 \n19 0.821 -1.22  \n20 0.594 -0.473 \n21 0.919 -0.620 \n22 0.782 0.0421\n23 0.0746 -0.911 \n24 -1.99 0.158 \n25 0.620 -0.655 \n26 -0.0561 1.77  \n27 -0.156 0.717 \n28 -1.47 0.910 \n29 -0.478 0.384 \n30 0.418 1.68  \n31 1.36 -0.636 \n32 -0.103 -0.462 \n33 0.388 1.43  \n34 -0.0538 -0.651 \n35 -1.38 -0.207 \n36 -0.415 -0.393 \n37 -0.394 -0.320 \n38 -0.0593 -0.279 \n39 1.10 0.494 \n40 0.763 -0.177 \n41 -0.165 -0.506 \n42 -0.253 1.34  \n43 0.697 -0.215 \n44 0.557 -0.180 \n45 -0.689 -0.100 \n46 -0.707 0.713 \n47 0.365 -0.0736\n48 0.769 -0.0376\n49 -0.112 -0.682 \n50 0.881 -0.324 \n51 0.398 0.0602\n52 -0.612 -0.589 \n53 0.341 0.531 \n54 -1.13 -1.52  \n55 1.43 0.307 \n56 1.98 -1.54  \n57 -0.367 -0.301 \n58 -1.04 -0.528 \n59 0.570 -0.652 \n60 -0.135 -0.0569\n61 2.40 -1.91  \n62 -0.0392 1.18  \n63 0.690 -1.66  \n64 0.0280 -0.464 \n65 -0.743 -1.12  \n66 0.189 -0.751 \n67 -1.80 2.09  \n68 1.47 0.0174\n69 0.153 -1.29  \n70 2.17 -1.64  \n71 0.476 0.450 \n72 -0.710 -0.0186\n73 0.611 -0.318 \n74 -0.934 -0.929 \n75 -1.25 -1.49  \n76 0.291 -1.08  \n77 -0.443 1.00  \n78 0.00111 -0.621 \n79 0.0743 -1.38  \n80 -0.590 1.87<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><em>\u0414\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0430 \u043f\u043e R \u043c\u043e\u0436\u043d\u043e \u043d\u0430\u0439\u0442\u0438 \u0437\u0434\u0435\u0441\u044c .<\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0422\u0438\u0431\u0431\u043b \u2014 \u044d\u0442\u043e \u0444\u0440\u0435\u0439\u043c \u0434\u0430\u043d\u043d\u044b\u0445 \u0432 R, \u0438\u043c\u0435\u044e\u0449\u0438\u0439 \u0443\u0441\u043e\u0432\u0435\u0440\u0448\u0435\u043d\u0441\u0442\u0432\u043e\u0432\u0430\u043d\u043d\u044b\u0439 \u043c\u0435\u0442\u043e\u0434 \u043f\u0435\u0447\u0430\u0442\u0438, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u0435\u0442 \u0442\u043e\u043b\u044c\u043a\u043e \u043f\u0435\u0440\u0432\u044b\u0435 10 \u0441\u0442\u0440\u043e\u043a \u0444\u0440\u0435\u0439\u043c\u0430 \u0434\u0430\u043d\u043d\u044b\u0445. \u042d\u0442\u043e \u0437\u043d\u0430\u0447\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u0443\u043f\u0440\u043e\u0449\u0430\u0435\u0442 \u0440\u0430\u0431\u043e\u0442\u0443 \u0441 \u0431\u043e\u043b\u044c\u0448\u0438\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u043c\u0438 \u0438 \u043d\u0435 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 R \u043f\u044b\u0442\u0430\u0442\u044c\u0441\u044f \u043e\u0442\u043e\u0431\u0440\u0430\u0437\u0438\u0442\u044c \u043a\u0430\u0436\u0434\u0443\u044e \u0441\u0442\u0440\u043e\u043a\u0443 \u0432\u043e \u0444\u0440\u0435\u0439\u043c\u0435 \u0434\u0430\u043d\u043d\u044b\u0445. \u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0440\u0430\u0441\u0441\u043c\u043e\u0442\u0440\u0438\u043c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0442\u0438\u0431\u0431\u043b \u0441 80 \u0441\u0442\u0440\u043e\u043a\u0430\u043c\u0438 \u0438 2 \u0441\u0442\u043e\u043b\u0431\u0446\u0430\u043c\u0438: #load dplyr library(dplyr) #make this example reproducible set.seed(1) [&hellip;]<\/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-953","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u041a\u0430\u043a \u0440\u0430\u0441\u043f\u0435\u0447\u0430\u0442\u0430\u0442\u044c \u0432\u0441\u0435 \u0441\u0442\u0440\u043e\u043a\u0438 Tibble \u0432 R \u2014 Statorials<\/title>\n<meta name=\"description\" content=\"\u041f\u0440\u043e\u0441\u0442\u043e\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u0435\u043d\u0438\u0435 \u0442\u043e\u0433\u043e, \u043a\u0430\u043a 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