{"id":5801,"date":"2022-08-30T15:47:37","date_gmt":"2022-08-30T10:17:37","guid":{"rendered":"https:\/\/jassweb.com\/solved\/solved-colsums-shifted-results\/"},"modified":"2022-08-30T15:47:37","modified_gmt":"2022-08-30T10:17:37","slug":"solved-colsums-shifted-results","status":"publish","type":"post","link":"https:\/\/jassweb.com\/solved\/solved-colsums-shifted-results\/","title":{"rendered":"[Solved] colSums &#8211; shifted results"},"content":{"rendered":"<p> [ad_1]<br \/>\n<\/p>\n<div id=\"answer-19795201\" class=\"answer js-answer accepted-answer js-accepted-answer\" data-answerid=\"19795201\" data-parentid=\"19792110\" data-score=\"5\" 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>Noting your actual attempted solution posted in the comment to @ChristopherLouden&#8217;s answer, which looks suspiciously like the solution offered by @Jilber to a question from earlier today, I can finally reproduce your problem and offer a solution.<\/p>\n<p>For the sake of simplicity, here&#8217;s a much smaller <code>data.frame<\/code> to start our work with. Note that the <code>data.frame<\/code> has two non-numeric columns (one <code>character<\/code> and one <code>factor<\/code>). Something as small as this is sufficient to demonstrate your problem and is much easier for others to follow.<\/p>\n<pre><code>data &lt;- structure(list(Name = c(\"a\", \"b\", \"c\", \"d\"), \n    time1 = c(6692.50136510743, 41682.9111356503, 405946.374877924, \n    4640.34876265179), time2 = c(14404.8414547167, 40466.9047986558, \n    638019.540242027, 2397.71968447607), time3 = c(10146.3608040476, \n    34148.4389867747, 459639.431186888, 10490.8359468475), \n    New = structure(1:4, .Label = c(\"A\", \"B\", \"C\", \"D\"), \n    class = \"factor\")), .Names = c(\"Name\", \"time1\", \"time2\", \"time3\", \n    \"New\"), class = \"data.frame\", row.names = c(NA, 4L))\ndata\n#   Name      time1     time2     time3 New\n# 1    a   6692.501  14404.84  10146.36   A\n# 2    b  41682.911  40466.90  34148.44   B\n# 3    c 405946.375 638019.54 459639.43   C\n# 4    d   4640.349   2397.72  10490.84   D\n<\/code><\/pre>\n<p>Here is your current solution, complete with strange &#8220;shifting&#8221; of column means.<\/p>\n<pre><code>df &lt;- suppressWarnings(\n  rbind(data, colMeans=colMeans(data[, sapply(data, is.numeric)])))\ndf\n#                      Name      time1     time2     time3  New\n# 1                       a   6692.501  14404.84  10146.36    A\n# 2                       b  41682.911  40466.90  34148.44    B\n# 3                       c 405946.375 638019.54 459639.43    C\n# 4                       d   4640.349   2397.72  10490.84    D\n# colMeans 114740.534035333 173822.252 128606.27 114740.53 &lt;NA&gt;\n<\/code><\/pre>\n<p>The solution I&#8217;m offering makes use of <code>rbind.fill<\/code> from &#8220;plyr&#8221; to bind the results to your original <code>data.frame<\/code>. The results are calculated only on the <code>numeric<\/code> columns of your original <code>data.frame<\/code>.<\/p>\n<pre><code>library(plyr) ## For `rbind.fill`\nuseme &lt;- sapply(data, is.numeric)\nrbind.fill(data, data.frame(t(colMeans(data[useme]))))\n#   Name      time1     time2     time3  New\n# 1    a   6692.501  14404.84  10146.36    A\n# 2    b  41682.911  40466.90  34148.44    B\n# 3    c 405946.375 638019.54 459639.43    C\n# 4    d   4640.349   2397.72  10490.84    D\n# 5 &lt;NA&gt; 114740.534 173822.25 128606.27 &lt;NA&gt;\n\nmean(data$time1) ## Just for verification...\n# [1] 114740.5\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 colSums &#8211; shifted results <\/p>\n","protected":false},"excerpt":{"rendered":"<p>[ad_1] Noting your actual attempted solution posted in the comment to @ChristopherLouden&#8217;s answer, which looks suspiciously like the solution offered by @Jilber to a question from earlier today, I can finally reproduce your problem and offer a solution. For the sake of simplicity, here&#8217;s a much smaller data.frame to start our work with. Note that &#8230; <a title=\"[Solved] colSums &#8211; shifted results\" class=\"read-more\" href=\"https:\/\/jassweb.com\/solved\/solved-colsums-shifted-results\/\" aria-label=\"More on [Solved] colSums &#8211; shifted results\">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":[321],"class_list":["post-5801","post","type-post","status-publish","format-standard","hentry","category-solved","tag-r"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>[Solved] colSums - shifted results - 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-colsums-shifted-results\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[Solved] colSums - shifted results - JassWeb\" \/>\n<meta property=\"og:description\" content=\"[ad_1] Noting your actual attempted solution posted in the comment to @ChristopherLouden&#8217;s answer, which looks suspiciously like the solution offered by @Jilber to a question from earlier today, I can finally reproduce your problem and offer a solution. 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