通常,在我的函数中,当我从包中调用特定函数时,我使用dplyr::function。但是,我不知道如何使用类似的结构来阻止此错误: Error in data %>% dplyr::group_by(dir.binned) %>% dplyr::summarise(count = n()) 浏览3提问于2020-06-16得票数 0 回答已采纳 2回答 通过dplyr汇总未在汇总函数中指定的列 ...
region) %>% summarise( Count = n(), Capacity = sum(Capacity), # Today ScarcityToday = round(mean(RC1),2), FloodToday = round(mean(RC2),2), BiodiversityToday = round(mean(RC10),2), # Optimistic ScarcityChange_O50 = round(mean(RC1_O50rc),2), FloodChange_O50 = round(mean(RC2...
by_dest<-group_by(flights,dest)delay<-summarise(by_dest,count=n(),dist=mean(distance,na.rm=TRUE),delay=mean(arr_delay,na.rm=TRUE))delay<-filter(delay,count>20,dest!="HNL")# It looks like delays increase with distance up to ~750 miles# and then decrease. Maybe as flights get longe...
%>% summarise(arr_delay_diff = mean(arr_delay_diff)) %>% arrange(desc(arr_delay_diff)) 问题六 count...何时应该使用这个参数?解答排序参数,以对结果进行排序。想对结果排序的时候都可以使用sort。 3.8K30 R代码|dplyr包的使用示例 dplyr包的使用例子。...)) %>% summarise(max_diff = max(max_...
We can also easily get a visual overview of the number of insertions & deletions in commits over time: commit.dat<-data.frame(edits=rep(c("Insertions","Deletions"),each=nrow(log)),commit=rep(1:nrow(log),2),count=c(log$total_insertions,-log$total_deletions)) ggplot(commit.dat, aes(...
Here’s what appeared on Google’s Page 1 listings under Sam Pellicori – a posting from Dan Porter’s shroudstory back in 2015 with Sam’s name in the title AND that of A.N. Other!! So why “A.N.Other’s” reference to “capillarity”. Why introduce that aspect into a piece on...
%>% summarise(arr_delay_diff = mean(arr_delay_diff)) %>% arrange(desc(arr_delay_diff)) 问题六 count...何时应该使用这个参数?解答排序参数,以对结果进行排序。想对结果排序的时候都可以使用sort。 3.8K30 R代码|dplyr包的使用示例 dplyr包的使用例子。...)) %>% summarise(max_diff = max(max_...