{"id":10445,"date":"2022-09-23T18:06:48","date_gmt":"2022-09-23T12:36:48","guid":{"rendered":"https:\/\/jassweb.com\/solved\/solved-summarize-data-frame-by-dates-in-r\/"},"modified":"2022-09-23T18:06:48","modified_gmt":"2022-09-23T12:36:48","slug":"solved-summarize-data-frame-by-dates-in-r","status":"publish","type":"post","link":"https:\/\/jassweb.com\/solved\/solved-summarize-data-frame-by-dates-in-r\/","title":{"rendered":"[Solved] Summarize data.frame by dates in R"},"content":{"rendered":"<p> [ad_1]<br \/>\n<\/p>\n<div id=\"answer-51403073\" class=\"answer js-answer accepted-answer js-accepted-answer\" data-answerid=\"51403073\" data-parentid=\"51401041\" data-score=\"0\" 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 would use data.table and do something like the following:<\/p>\n<pre><code>library(data.table)\nsetDT(df)\nndf &lt;- df[, \n          .(Date = paste(Date[1], \"to\", Date[.N]), weather = Type.of.Weather[1]),\n          rleid(Type.of.Weather)\n          ][,\n            rleid := NULL\n           ][]\nndf\n               Date weather\n1: 01-Jan to 03-Jan  Cloudy\n2: 04-Jan to 10-Jan   Rainy\n3: 11-Jan to 15-Jan  Cloudy\n4: 16-Jan to 20-Jan   Sunny\n<\/code><\/pre>\n<\/p><\/div>\n<div class=\"mt24\"><\/div>\n<\/div>\n<p>            <span class=\"d-none\" itemprop=\"commentCount\">1<\/span> <\/p><\/div>\n<\/div>\n<p>[ad_2]<\/p>\n<p>solved Summarize data.frame by dates in R <\/p>\n","protected":false},"excerpt":{"rendered":"<p>[ad_1] I would use data.table and do something like the following: library(data.table) setDT(df) ndf &lt;- df[, .(Date = paste(Date[1], &#8220;to&#8221;, Date[.N]), weather = Type.of.Weather[1]), rleid(Type.of.Weather) ][, rleid := NULL ][] ndf Date weather 1: 01-Jan to 03-Jan Cloudy 2: 04-Jan to 10-Jan Rainy 3: 11-Jan to 15-Jan Cloudy 4: 16-Jan to 20-Jan Sunny 1 [ad_2] &#8230; <a title=\"[Solved] Summarize data.frame by dates in R\" class=\"read-more\" href=\"https:\/\/jassweb.com\/solved\/solved-summarize-data-frame-by-dates-in-r\/\" aria-label=\"More on [Solved] Summarize data.frame by dates 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-10445","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] Summarize data.frame by dates 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-summarize-data-frame-by-dates-in-r\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[Solved] Summarize data.frame by dates in R - JassWeb\" \/>\n<meta property=\"og:description\" content=\"[ad_1] I would use data.table and do something like the following: library(data.table) setDT(df) ndf &lt;- df[, .(Date = paste(Date[1], &quot;to&quot;, Date[.N]), weather = Type.of.Weather[1]), rleid(Type.of.Weather) ][, rleid := NULL ][] ndf Date weather 1: 01-Jan to 03-Jan Cloudy 2: 04-Jan to 10-Jan Rainy 3: 11-Jan to 15-Jan Cloudy 4: 16-Jan to 20-Jan Sunny 1 [ad_2] ... 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