{"id":33594,"date":"2023-02-10T13:32:26","date_gmt":"2023-02-10T08:02:26","guid":{"rendered":"https:\/\/jassweb.com\/solved\/solved-make-a-cumulative-plot-of-events-in-r\/"},"modified":"2023-02-10T13:32:26","modified_gmt":"2023-02-10T08:02:26","slug":"solved-make-a-cumulative-plot-of-events-in-r","status":"publish","type":"post","link":"https:\/\/jassweb.com\/solved\/solved-make-a-cumulative-plot-of-events-in-r\/","title":{"rendered":"[Solved] Make a cumulative plot of events in R"},"content":{"rendered":"<p> [ad_1]<br \/>\n<\/p>\n<div id=\"answer-40432185\" class=\"answer js-answer accepted-answer js-accepted-answer\" data-answerid=\"40432185\" data-parentid=\"40431650\" data-score=\"1\" 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>A possible solution:<\/p>\n<pre><code>library(lubridate)\n\n# example time data\ntime = c(\n  \"2015-10-05 15:44:41.986797\", \"2015-10-05 15:59:23.389583\", \"2015-10-05 16:59:44.99402\",\n  \"2015-10-05 16:59:44.99402\", \"2015-10-05 16:59:44.99402\", \"2015-10-05 16:59:44.99402\",\n  \"2015-10-05 17:59:59.594524\", \"2015-10-05 17:59:59.594524\", \"2015-10-05 18:00:05.555564\"\n)\n\n# transform time strings to POSIXct objects for count\ntime &lt;- ymd_hms(time)\n\n# count by second\nevent &lt;- data.frame(table(time))\n\n# transform time factors to POSIXct objects for df\nevent$time &lt;- ymd_hms(event$time)\n\n# find start and end time for 15min sequence\nstart &lt;- round(min(event$time), \"mins\")\nif (min(event$time) &lt; start) {\n  minute(start) &lt;- minute(start) - 1\n}\nwhile (minute(start) %% 15 != 0) {\n  minute(start) &lt;- minute(start) - 1\n}\n\nend &lt;- round(max(event$time), \"mins\")\nif (max(event$time) &gt; end) {\n  minute(end) &lt;- minute(end) + 1\n}\nwhile (minute(end) %% 15 != 0) {\n  minute(end) &lt;- minute(end) + 1\n}\n\n# create sequence and result data.frame\nft.seq &lt;- seq(start, end, \"15 mins\")\n\nft.event &lt;- data.frame(\n  start = ft.seq[1:(length(ft.seq)-1)],\n  end = ft.seq[2:(length(ft.seq))],\n  sum = 0\n)\n\n# ugly, nested loop to attribute values to 15min time slices\nfor (p1 in 1:nrow(ft.event)) {\n  for (p2 in 1:nrow(event)) {\n    if (event$time[p2] &gt; ft.event$start[p1] &amp;&amp; \n        event$time[p2] &lt; ft.event$end[p1]) {\n      ft.event$sum[p1] &lt;- ft.event$sum[p1] + event$Freq[p2]\n    }\n  }\n}\n\n# cumsum\nft.event$cumsum &lt;- cumsum(ft.event$sum)\n\n# example plot\nlibrary(ggplot2)\n\nggplot(ft.event) +\n  geom_line(aes(x = end, y = cumsum))\n<\/code><\/pre>\n<\/p><\/div>\n<div class=\"mt24\"><\/div>\n<\/div>\n<p>            <span class=\"d-none\" itemprop=\"commentCount\">3<\/span> <\/p><\/div>\n<\/div>\n<p>[ad_2]<\/p>\n<p>solved Make a cumulative plot of events in R <\/p>\n","protected":false},"excerpt":{"rendered":"<p>[ad_1] A possible solution: library(lubridate) # example time data time = c( &#8220;2015-10-05 15:44:41.986797&#8221;, &#8220;2015-10-05 15:59:23.389583&#8221;, &#8220;2015-10-05 16:59:44.99402&#8221;, &#8220;2015-10-05 16:59:44.99402&#8221;, &#8220;2015-10-05 16:59:44.99402&#8221;, &#8220;2015-10-05 16:59:44.99402&#8221;, &#8220;2015-10-05 17:59:59.594524&#8221;, &#8220;2015-10-05 17:59:59.594524&#8221;, &#8220;2015-10-05 18:00:05.555564&#8221; ) # transform time strings to POSIXct objects for count time &lt;- ymd_hms(time) # count by second event &lt;- data.frame(table(time)) # transform time factors to &#8230; <a title=\"[Solved] Make a cumulative plot of events in R\" class=\"read-more\" href=\"https:\/\/jassweb.com\/solved\/solved-make-a-cumulative-plot-of-events-in-r\/\" aria-label=\"More on [Solved] Make a cumulative plot of events in R\">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-33594","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] Make a cumulative plot of events in R - 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-make-a-cumulative-plot-of-events-in-r\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[Solved] Make a cumulative plot of events in R - JassWeb\" \/>\n<meta property=\"og:description\" content=\"[ad_1] A possible solution: library(lubridate) # example time data time = c( &quot;2015-10-05 15:44:41.986797&quot;, &quot;2015-10-05 15:59:23.389583&quot;, &quot;2015-10-05 16:59:44.99402&quot;, &quot;2015-10-05 16:59:44.99402&quot;, &quot;2015-10-05 16:59:44.99402&quot;, &quot;2015-10-05 16:59:44.99402&quot;, &quot;2015-10-05 17:59:59.594524&quot;, &quot;2015-10-05 17:59:59.594524&quot;, &quot;2015-10-05 18:00:05.555564&quot; ) # transform time strings to POSIXct objects for count time &lt;- ymd_hms(time) # count by second event &lt;- data.frame(table(time)) # transform time factors to ... 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