使用tidyverse时，确保你使用的是dplyr：：filter中的函数。filter正在寻找一个逻辑表达式，但你可能将它...
Filtering joins, which filter observations from one data frame based on whether or not they match an observation in the other table.——带有筛选的连接 Set operations, which treat observations as if they were set elements.——对“行”操作1.数据介绍 ...
如果它在解释内容之前翻译成SQL，那么它将翻译start.times[1]而不是计算它。
distinct()在处理不存在的变量时候会报错,之前是警告 filter()、mutate()、summarise()提供了更详细的报错信息 当所有列均为逻辑向量时,filter()处理数据框结果通过用&减少它们。意味着我们可以结合across与filter()函数 filter() and data frame results, filter(across()) left_join()、right_join()、full_join...
filter()picks cases based on their values. summarise()reduces multiple values down to a single summary. arrange()changes the ordering of the rows. These all combine naturally withgroup_by()which allows you to perform any operation “by group”. You can learn more about them invignette("dply...
Filtering joins, which filter observations from one table based on whether or not they match an observation in the other table:semi_join(),anti_join(). Set operations, which combine the observations in two data sets as if they were set elements:intersect(),union(),setdiff(). ...
filter.numeric() removed. Need to figure out how to reimplement with new lazy eval system. The Progress refclass is no longer exported to avoid conflicts with shiny. Instead use progress_estimated() (#535). src_monetdb() is now implemented in MonetDB.R, not dplyr. show_sql() and expla...
熟悉R的朋友都会知道， dplyr包是对原始的数据集进行清洗、整理以及变换的有力武器之一。但是其使用会...
src_localforworkingwithlocaldata Examples ##Notrun: if(require(microbenchmark)has_lahman()){ lahman_local-lahman_srcs(df,dt) teams-lapply(lahman_local,function(x)x%%tbl(Teams)) compare_tbls(teams,function(x)x%%filter(yearID==2010)) bench_tbls(teams,function(x)x%%filter(yearID==2010)) ...
Working with rows # Filter rows on one condition (e.g., country) airbnb_listings %>% filter(country == "France") # Filter on two OR more conditions (country OR number_of_rooms) airbnb_listings %>% filter(country == "France" | number_of_rooms > 3) # Filter on two AND more con...