æ´æ°ï¼2019/02/19ï¼ï¼ ããããè°è«ããã£ã¦ãgroup_by()ã®ããã©ã«ãã®æåã¯ããã¾ã§ã¨åãï¼empty groupã¯ã¤ãããªãï¼ããã«ãªãã¾ããã group_by()ããã¨ãã«.drop = FALSEã¨ããå ´åã ããempty groupãã¤ãããã¾ãã dplyr 0.8.0ãããããï¼æ¥å¹´1æä¸æ¬ï¼ï¼ãªãªã¼ã¹ããã¾ãã ãã®å ¬å¼è¨äºãèªãã§ããã°ãããã¨æã£ããã§ãããä»åã¯ãgroup_by()ã«å¤§ããªå¤æ´ãããã¤ãããã¾ãã ã¾ãã§å¤§ããªå¤æ´ãªã®ã§ãããã俺ãã¡ãç¥ã£ã¦ããgroup_by()ãããªãããããã®ã¤ããã§è¨ã¿ã¾ãããã 便å©ãªæ°æ©è½ããããã§ãããããã¯æ¥ãæ¹ãã*1ãã¨ã«ãã¦ã breaking changeã«çµã£ã¦æ¸ãã¾ãã factorã®æ±ã ä»ã®dplyrã¯ãfactorãæååã¨åãããã«æ±ã£ã¦ããã®ãã¯ãã«ä¸ã«åå¨ããå¤ãè¦ã¦ã°ã«ã¼ã
Tokyo.R#60ã®çºè¡¨è³æ3ã¤ç®ã§ããtidyevalã«ã¤ãã¦ã¯ä»¥ä¸ã®vignetteãã¨ã¦ãåèã«ãªãã¾ãã Programming with dplyr http://dplyr.tidyverse.org/articles/programming.html --- åºæ¬ç·¨ï¼htâ¦
dbplyr: A 'dplyr' Back End for Databases A 'dplyr' back end for databases that allows you to work with remote database tables as if they are in-memory data frames. Basic features works with any database that has a 'DBI' back end; more advanced features require 'SQL' translation to be provided by the package author.
As well as working with local in-memory data like data frames and data tables, dplyr also works with remote on-disk data stored in databases. Generally, if your data fits in memory there is no advantage to putting it in a database: it will only be slower and more hassle. The reason youâd want to use dplyr with a database is because either your data is already in a database (and you donât want to w
â»ãã®è¨äºã¯4/9ã«æ¸ãããdplyr 0.4.3.9000ã使ã£ã¦ã¿ããã¨ããè¨äºãå çãããã®ã§ã ã1ãæããããããæ°ããdplyråºãããã¨Hadleyãè¨ã£ã¦ã¾ããã Getting ready to start dplyr release process. Over >150 issues fixed: https://t.co/N6fOAnN5pF. Expect on CRAN in ~1 month #rstatsâ Hadley Wickham (@hadleywickham) March 24, 2016 ãããã1ãæãéãã2ãæãéãã3ãæãéãããããããããªãªã¼ã¹ããã¾ããï¼ é·ãã£ããã Release dplyr 0.5.0 · hadley/dplyr · GitHub å¤æ´ç¹ãè¦ã¦ã¿ã¾ãã Breaking changes arrange()ã¯ã°
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