return 行程数据的 R 组列

Question

我有火车旅行的数据和延误或取消的火车数量，我想计算总和。

Start     End        Delayed Cancelled
Paris     Rome       1       0
Brussels  Berlin     4       6
Berlin    Brussels   6       2
Rome      Paris      2       1

我如何将“开始”和“结束”列分组以得出巴黎-罗马和罗马-巴黎以及布鲁塞尔-柏林和柏林-布鲁塞尔的总和以得出火车延误和取消的总行程？

Answer 1

按字母顺序排序并按组汇总：

df |> 
  group_by(route = if_else(Start < End, paste(Start, End, sep = "-"), paste(End, Start, sep = "-"))) |> 
  summarise(Delayed = sum(Delayed), Cancelled = sum(Cancelled))

#   route           Delayed Cancelled
#   <chr>             <int>     <int>
# 1 Berlin-Brussels      10         8
# 2 Paris-Rome            3         1

可重现的数据：

df = data.frame(
  Start     = c("Paris", "Brussels", "Berlin", "Rome"),
  End       = c("Rome", "Berlin", "Brussels", "Paris"),
  Delayed   = c(1L, 4L, 6L, 2L),
  Cancelled = c(0L, 6L, 2L, 1L)
)

Answer 2

附加解决方案

tidyverse

library(tidyverse)

df <- data.frame(
  stringsAsFactors = FALSE,
             Start = c("Paris", "Brussels", "Berlin", "Rome"),
               End = c("Rome", "Berlin", "Brussels", "Paris"),
           Delayed = c(1L, 4L, 6L, 2L),
         Cancelled = c(0L, 6L, 2L, 1L)
)

df %>% 
  rowwise() %>% 
  mutate(route = paste0(sort(c_across(c(Start, End))), collapse = "-")) %>% 
  group_by(route) %>% 
  summarise(across(where(is.numeric), sum, na.rm = TRUE))


#> # A tibble: 2 × 3
#>   route           Delayed Cancelled
#>   <chr>             <int>     <int>
#> 1 Berlin-Brussels      10         8
#> 2 Paris-Rome            3         1

^{由 reprex package (v2.0.1)}

于 2022-04-26 创建

基础

df$route <- apply(df[c("Start", "End")], 1, function(x) paste0(sort(x), collapse = "-"))

aggregate(x = df[c("Delayed", "Cancelled")], by = list(df$route), FUN = sum, na.rm = TRUE)
#>           Group.1 Delayed Cancelled
#> 1 Berlin-Brussels      10         8
#> 2      Paris-Rome       3         1

^{由 reprex package (v2.0.1)}

于 2022-04-26 创建

data.table

df$route <- apply(df[c("Start", "End")], 1, function(x) paste0(sort(x), collapse = "-"))

library(data.table)
setDT(df)[, lapply(.SD, sum, na.rm = TRUE), by = route, .SDcols = is.numeric]
#>              route Delayed Cancelled
#> 1:      Paris-Rome       3         1
#> 2: Berlin-Brussels      10         8

^{由 reprex package (v2.0.1)}

于 2022-04-26 创建

return 行程数据的 R 组列

R group columns of return trips data

r

summarize

columnsorting

group