R 用新 df 中的更新值替换原始 df 中的所有值

假设我有:

T1 <- c("A","B","C","D","E", "M")
T2 <- c("F","G","H","I","J", "K")
score1 <- c(1,2,3,4,5, 6)
score3 <- c(7,8,9,10,11, 12)
score2 <- c(13, 14, 15, 16, 17, 18)
df1 <- data.frame(T2, T1, score1, score2, score3)

T1 <- c("A","D","C","B","K")
T2 <- c("f","g","h","i","j")
score1 <- c(-1,-2,-3,-4,-5)
score2 <- c(-13, -14, -15, -16, -17)
df2 <- data.frame(T1, T2, score1, score2)

> df1
  T2 T1 score1 score2 score3
1  F  A      1     13      7
2  G  B      2     14      8
3  H  C      3     15      9
4  I  D      4     16     10
5  J  E      5     17     11
6  K  M      6     18     12
> df2
  T1 T2 score1 score2
1  A  f     -1    -13
2  D  g     -2    -14
3  C  h     -3    -15
4  B  i     -4    -16
5  L  j     -5    -17

df1代表原始值，但我有一个更新的df2，它只记录了一些相同的变量.但是df2是最新的，所以我想在df1$T1与df2$T1匹配时替换所有值(对于所有匹配列).

我想大概是df1[match(df1$T1, df2$T1),] <- df2，但当它们是不同维度时，它就不起作用了，而且它也不会匹配相同的colnames.加入dfs很乏味，因为它实际上并不替换这些值(它会添加一个新列，如T2.y、score1.y等)

我想得到这样的东西:

> df1
  T2 T1 score1 score2 score3
1  f  A     -1    -13      7
2  i  B     -4    -16      8
3  h  C     -3    -15      9
4  g  D     -2    -14     10
5  J  E      5     17     11
6  K  M      6     18     12