使用dplyr对多个group by变量进行计数

我有一个包含多个分类变量的数据集

data <- data_frame(
HomeTeam = c("Team1", "Team2", "Team3", "Team4", "Team2", "Team2", "Team4", 
             "Team3", "Team2", "Team1", "Team3", "Team2"),
AwayTeam = c("Team2", "Team1", "Team4", "Team3", "Team1", "Team4", "Team1", 
             "Team2", "Team3", "Team3", "Team4", "Team1"),
HomeScore = c(10, 5, 12, 18, 17, 19, 23, 17, 34, 19, 8, 3),
AwayScore = c(4, 16, 9, 19, 16, 4, 8, 21, 6, 5, 9, 17),
Venue = c("Ground1", "Ground2", "Ground3", "Ground3", "Ground1", "Ground2", 
          "Ground1", "Ground3", "Ground2", "Ground3", "Ground4", "Ground2"))

数据%
总结（NumberOfGamesHome=n（））
AwayTeamCount%
分组依据（AwayTeam）%>%
总结（NumberOfGamesAway=n（））
理想的这里有一种可能性，使用
收集
将数据从宽到长进行传播，按球队分组，并总结主客场比赛的数量

library(tidyverse)
data %>%
    gather(key, Team) %>%
    group_by(Team) %>%
    summarise(
        NumberOfGamesHome = sum(key == "HomeTeam"),
        NumberOfGamesaWAY = sum(key == "AwayTeam"))
## A tibble: 4 x 3
#  Team  NumberOfGamesHome NumberOfGamesaWAY
#  <chr>             <int>             <int>
#1 Team1                 2                 4
#2 Team2                 5                 2
#3 Team3                 3                 3
#4 Team4                 2                 3

库（tidyverse）
数据%>%
聚集（关键点，团队）%>%
组别（组别）%>%
总结(
NumberOfGamesHome=sum（键==“HomeTeam”），
NumberOfGamesaWAY=sum（键==“AwayTeam”））
##一个tibble:4x3
#团队编号游戏名称游戏编号
#                            
#1队12 4
#2队2 5 2
#3队3 3
#4团队4 2 3


更新
要使用其他列反映更新的示例数据，可以执行以下操作

data %>%
    gather(key, Team, HomeTeam, AwayTeam) %>%
    group_by(Team) %>%
    summarise(
        NumberOfGamesHome = sum(key == "HomeTeam"),
        NumberOfGamesaWAY = sum(key == "AwayTeam"))
## A tibble: 4 x 3
#  Team  NumberOfGamesHome NumberOfGamesaWAY
#  <chr>             <int>             <int>
#1 Team1                 2                 4
#2 Team2                 5                 2
#3 Team3                 3                 3
#4 Team4                 2                 3

数据%>%
聚集（关键、团队、主队、AwayTeam）%>%
组别（组别）%>%
总结(
NumberOfGamesHome=sum（键==“HomeTeam”），
NumberOfGamesaWAY=sum（键==“AwayTeam”））
##一个tibble:4x3
#团队编号游戏名称游戏编号
#                            
#1队12 4
#2队2 5 2
#3队3 3
#4团队4 2 3
感谢您对我提供的数据的回复。在我的实际数据中，我有其他数字和字符变量，它们用这个解决方案分组到关键的“team”列中。我是否可以从“group_by”函数中排除这些变量？您是否可以更新您的问题以显示一些示例数据和预期输出？您可以在收集期间排除列，但确切的语法取决于您的特定数据和预期输出。谢谢，我刚刚编辑了数据，以更准确地反映源数据-set@perkot谢谢，我已经更新了我的答案，请看一看。
library(tidyverse)
data %>%
    gather(key, Team) %>%
    group_by(Team) %>%
    summarise(
        NumberOfGamesHome = sum(key == "HomeTeam"),
        NumberOfGamesaWAY = sum(key == "AwayTeam"))
## A tibble: 4 x 3
#  Team  NumberOfGamesHome NumberOfGamesaWAY
#  <chr>             <int>             <int>
#1 Team1                 2                 4
#2 Team2                 5                 2
#3 Team3                 3                 3
#4 Team4                 2                 3

data %>%
    gather(key, Team, HomeTeam, AwayTeam) %>%
    group_by(Team) %>%
    summarise(
        NumberOfGamesHome = sum(key == "HomeTeam"),
        NumberOfGamesaWAY = sum(key == "AwayTeam"))
## A tibble: 4 x 3
#  Team  NumberOfGamesHome NumberOfGamesaWAY
#  <chr>             <int>             <int>
#1 Team1                 2                 4
#2 Team2                 5                 2
#3 Team3                 3                 3
#4 Team4                 2                 3