{"id":29454,"date":"2023-01-07T22:21:54","date_gmt":"2023-01-07T16:51:54","guid":{"rendered":"https:\/\/jassweb.com\/solved\/solved-convert-text-file-to-matrix-closed\/"},"modified":"2023-01-07T22:21:54","modified_gmt":"2023-01-07T16:51:54","slug":"solved-convert-text-file-to-matrix-closed","status":"publish","type":"post","link":"https:\/\/jassweb.com\/solved\/solved-convert-text-file-to-matrix-closed\/","title":{"rendered":"[Solved] Convert text file to matrix [closed]"},"content":{"rendered":"<p> [ad_1]<br \/>\n<\/p>\n<div id=\"answer-15360059\" class=\"answer js-answer accepted-answer js-accepted-answer\" data-answerid=\"15360059\" data-parentid=\"15359224\" data-score=\"2\" data-position-on-page=\"1\" data-highest-scored=\"1\" data-question-has-accepted-highest-score=\"1\" itemprop=\"acceptedAnswer\" itemscope itemtype=\"https:\/\/schema.org\/Answer\">\n<div class=\"post-layout\">\n<div class=\"votecell post-layout--left\"><\/div>\n<div class=\"answercell post-layout--right\">\n<div class=\"s-prose js-post-body\" itemprop=\"text\">\n<p>I will try to guess what is asked.<\/p>\n<p>Assuming that your data frame is named <code>df<\/code>, you can convert each column to matrix and put it in list using <code>lapply()<\/code>. For example, I converted to matrix with two columns. <\/p>\n<p><code>seq_len(ncol(df)<\/code> will make sequence of numbers from 1 to number of columns, so conversion will iterate though all columns. Then <code>matrix()<\/code> convert each column to matrix. <\/p>\n<pre><code>lapply(seq_len(ncol(df)),function(i) matrix(df[,i],ncol=2))\n[[1]]\n          [,1]      [,2]\n[1,] 0.1682512 0.1589936\n[2,] 0.1583613 0.1583613\n[3,] 0.2294395 0.1401881\n\n[[2]]\n          [,1]      [,2]\n[1,] 0.1654002 0.1563962\n[2,] 0.1423133 0.1283551\n[3,] 0.1913303 0.1068051\n\n[[3]]\n          [,1]      [,2]\n[1,] 0.2558522 0.3320734\n[2,] 0.2304359 0.1847167\n[3,] 0.2934963 0.1893830\n<\/code><\/pre>\n<\/p><\/div>\n<div class=\"mt24\"><\/div>\n<\/div>\n<p>            <span class=\"d-none\" itemprop=\"commentCount\">0<\/span> <\/p><\/div>\n<\/div>\n<p>[ad_2]<\/p>\n<p>solved Convert text file to matrix [closed] <\/p>\n","protected":false},"excerpt":{"rendered":"<p>[ad_1] I will try to guess what is asked. Assuming that your data frame is named df, you can convert each column to matrix and put it in list using lapply(). For example, I converted to matrix with two columns. seq_len(ncol(df) will make sequence of numbers from 1 to number of columns, so conversion will &#8230; <a title=\"[Solved] Convert text file to matrix [closed]\" class=\"read-more\" href=\"https:\/\/jassweb.com\/solved\/solved-convert-text-file-to-matrix-closed\/\" aria-label=\"More on [Solved] Convert text file to matrix [closed]\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[320],"tags":[1331,321],"class_list":["post-29454","post","type-post","status-publish","format-standard","hentry","category-solved","tag-matrix","tag-r"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>[Solved] Convert text file to matrix [closed] - JassWeb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/jassweb.com\/solved\/solved-convert-text-file-to-matrix-closed\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[Solved] Convert text file to matrix [closed] - JassWeb\" \/>\n<meta property=\"og:description\" content=\"[ad_1] I will try to guess what is asked. Assuming that your data frame is named df, you can convert each column to matrix and put it in list using lapply(). For example, I converted to matrix with two columns. seq_len(ncol(df) will make sequence of numbers from 1 to number of columns, so conversion will ... 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