install.packages("dplyr") library(dplyr) # 创建示例数据框 df <- data.frame(Category = c("A", "B", "A", "B", "A"), Sales = c(100, 200, 150, 300, 250)) # 使用group_by和summarize进行分组汇总 result <- df %>% group_by(Category) %>% summarize(TotalSales = sum(Sales)) ...
summarise()创建一个新的 Dataframe 。它为分组变量的每个组合返回一行;如果没有分组变量，则输出将具有...
summarise()创建一个新的 Dataframe 。它为分组变量的每个组合返回一行;如果没有分组变量，则输出将具有...
Summarise shortest path between nodes on network
计数和逻辑值的比例:sum(x > 10),mean(y == 0)。 当与数字函数一起使用时,TRUE转换为1,FALSE转换为0。这使得sum()和mean()非常有用:sum(x)给出x中的TRUE数,而mean(x)给出比例。 # How many flights left before 5am? (these usually indicate delayed# flights from the previous day)not_cancelle...
na.rm = TRUE不适用于mutate或summarise字符串 在这个例子中，我找到了每一行x和y的平均值和总和，...
data_group<-data%>%# Group datagroup_by(gr1, gr2)%>%dplyr::summarise(gr_sum=sum(values))# `summarise()` has grouped output by 'gr1'. You can override using the `.groups` argument. As you can see, the previous R code has returned the message “`summarise()` has grouped output by...
na.rm = TRUE不适用于mutate或summarise字符串 在这个例子中，我找到了每一行x和y的平均值和总和，...
I have a data frame and I want to sum up some values when they are "TRUE" in certain conditional status, group by their id. str(df); ## Classes ‘tbl_df’, ‘tbl’ and 'data.frame': 540 obs. of 3 variables: ## $ id : int 1 1 1 1 1 1 1 1 1 1 ...
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