我有两张这样的table;

Test    Comp.Name
A Test  Comp.1
B Test  Comp.1
B Test  Comp.2
C Test  Comp.2
A Test  Comp.3
B Test  Comp.4

table1 <- data.frame("Test" = c("A Test", "B Test", "B Test", "C Test", "A Test", "B Test"),
                     "Comp Name" = c("Comp.1", "Comp.1", "Comp.2", "Comp.2", "Comp.3", "Comp.4"))



Test.Name   Comp.1  Comp.2  Comp.3  Comp.4
A Test      5       6       7       8
B Test      10      15      20      25
C Test      2       8       3       212

table2 <- data.frame("Test Name" = c("A Test", "B Test", "C Test"),
                     "Comp.1" = c(5, 10, 2),
                     "Comp.2" = c(6, 15, 8),
                     "Comp.3" = c(7, 20, 3),
                     "Comp.4" = c(8, 25, 212))

我想得到下表：

Test    Comp.Name   Test.Price
A Test  Comp.1      5
B Test  Comp.1      10
B Test  Comp.2      15
C Test  Comp.2      8
A Test  Comp.3      7
B Test  Comp.4      25

table3 <- data.frame("Test" = c("A Test", "B Test", "B Test", "C Test", "A Test", "B Test"),
                     "Comp Name" = c("Comp.1", "Comp.1", "Comp.2", "Comp.2", "Comp.3", "Comp.4"),
                     "Test Price" = c(5,10,15,8,7,25))

我将尝试在R中使用inner_join和reshape函数，到目前为止我能做的最好的是这样的：
：

table3 <- inner_join(table1, table2, by.x = "Test", by.y="Test Name") %>%
  select("Test Name", "Comp Name", "Test Price" = "Comp Name")

我没能得到我想要的结果。