在R中创建多维数据透视表

在R中创建多维数据透视表,r,dataframe,pivot-table,R,Dataframe,Pivot Table,我有以下数据框: Event Scenario Year Cost 1 1 1 10 2 1 1 5 3 1 2 6 4 1 2 6 5 2 1 15 6 2 1 12 7 2 2 10

我有以下数据框:

Event   Scenario   Year   Cost
1         1          1     10
2         1          1      5
3         1          2      6
4         1          2      6
5         2          1     15
6         2          1     12
7         2          2     10
8         2          2      5
9         3          1      4
10        3          1      5
11        3          2      6
12        3          2      5
我需要生成一个透视表/框架,该透视表/框架将汇总每个场景每年的总成本。因此,结果将是

      Scenario   Year   Cost
        1          1     15                
        1          2     12
        2          1     27
        2          2     15
        3          1      9
        3          2     11
我需要生成一个ggplot折线图,绘制每年每个场景的成本。我知道怎么做,就是找不到正确的数据帧。

试试看

library(dplyr)
df %>% group_by(Scenario, Year) %>% summarise(Cost=sum(Cost))

数据
df试试看

数据
df以下操作:

library(plyr)
ddply(df, .(Scenario, Year), summarize, Cost = sum(Cost))

#Scenario Year Cost
#1        1    1   15
#2        1    2   12
#3        2    1   27
#4        2    2   15
#5        3    1    9
#6        3    2   11
它的作用如下:

library(plyr)
ddply(df, .(Scenario, Year), summarize, Cost = sum(Cost))

#Scenario Year Cost
#1        1    1   15
#2        1    2   12
#3        2    1   27
#4        2    2   15
#5        3    1    9
#6        3    2   11

备选方案1和3同样有效。感谢选项1和3同样有效。谢谢
df <- structure(list(Event = 1:12, Scenario = c(1L, 1L, 1L, 1L, 2L, 
2L, 2L, 2L, 3L, 3L, 3L, 3L), Year = c(1L, 1L, 2L, 2L, 1L, 1L, 
2L, 2L, 1L, 1L, 2L, 2L), Cost = c(10L, 5L, 6L, 6L, 15L, 12L, 
10L, 5L, 4L, 5L, 6L, 5L)), .Names = c("Event", "Scenario", "Year", 
"Cost"), class = "data.frame", row.names = c(NA, -12L))
library(plyr)
ddply(df, .(Scenario, Year), summarize, Cost = sum(Cost))

#Scenario Year Cost
#1        1    1   15
#2        1    2   12
#3        2    1   27
#4        2    2   15
#5        3    1    9
#6        3    2   11