r - 如何在R中按两个以上的因素对数据进行分组

Question

我有一个如下所示的数据集。
在实际数据集中，有 8619 行。

Athlete      Competing Country  Year    Total Medals
Michael Phelps    United States 2012    6
Alicia Coutts     Australia     2012    5
Missy Franklin    United States 2012    5
Brian Leetch      United States 2002    1
Mario Lemieux     Canada        2002    1
Ylva Lindberg     Sweden        2002    1
Eric Lindros      Canada        2002    1
Ulrica Lindström  Sweden        2002    1
Shelley Looney    United States 2002    1

我想按国家、年份和奖牌总数重新排列这些数据。

我想要这样的结果

Country        Year  SumOfMedals
United States  2012  11
United States  2002   2
...

by(newmd$Total.Medals, newmd$Year, FUN=sum)
by(md$Total.Medals, md$Competing.Country, FUN=sum)

我厌倦了通过争论使用，但仍然卡住了。
你们中的任何人都可以帮助我吗？

Answer 1

或使用 data.table ，我们将 'data.frame' 转换为 'data.table' ( setDT(df1) )，按 'Competing_Country', 'Year' 分组，得到 sum的 'Total_Medals and then按感兴趣的变量排序。

library(data.table)
setDT(df1)[,list(SumOfMedals = sum(Total_Medals)), 
   by = .(Competing_Country, Year)
        ][order(-Competing_Country, -Year, -SumOfMedals)]

或与 dplyr ，我们使用相同的方法。

library(dplyr)
df1 %>%
    group_by(Competing_Country, Year) %>%
    summary(SumOfMedals = sum(Total_Medals) %>%
    arrange(desc(Competing_Country), desc(Year), desc(SumOfMedals))

数据

 df1 <- structure(list(Athlete = c("Michael Phelps", "Alicia Coutts", 
"Missy Franklin", "Brian Leetch", "Mario Lemieux", "Ylva Lindberg", 
"Eric Lindros", "Ulrica Lindström", "Shelley Looney"), Competing_Country = c("United States", 
"Australia", "United States", "United States", "Canada", "Sweden", 
"Canada", "Sweden", "United States"), Year = c(2012L, 2012L, 
2012L, 2002L, 2002L, 2002L, 2002L, 2002L, 2002L), Total_Medals = c(6L, 
5L, 5L, 1L, 1L, 1L, 1L, 1L, 1L)), .Names = c("Athlete", "Competing_Country", 
"Year", "Total_Medals"), class = "data.frame", row.names = c(NA, 
-9L))