0

我想做到这一点：

df <- data.frame(val1 = c(10,11, 12, 13))
df2 <-  data.frame(c1 = 1, c2 = 2, c3 = 3, c4 = 4)
df <- data.frame(rep(df, NCOL(df2)))
df2 <- df2[rep(1, NROW(df)),]
df3 <- df + df2
df3
  val1 val1.1 val1.2 val1.3
1   11     12     13     14
2   12     13     14     15
3   13     14     15     16
4   14     15     16     17

首先，我想知道是否有更简单的方法来做到这一点。

第二。

一个不同的df可能是

h <- temp[EM.Names[[i]]]
    > head(h)
          MSCILATAM
    1  9.870000e-03
    2 -6.286546e-05
    3  1.035069e-02
    4  1.070432e-02
    5  5.072980e-03
    6  1.486852e-03

一个不同的df2可能是

> fixed.avg.yield.diff
    VENEZUELA          PERU      COLOMBIA        MEXICO        BRAZIL     ARGENTINA         CHILE 
 0.0037480080  0.0004009513  0.0034571043 -0.0014477117  0.0280813115  0.0006466359 -0.0000884484 
> class(h)
[1] "data.frame"
> > class(fixed.avg.yield.diff)
[1] "numeric"

在这种情况下，上述解决方案将不起作用。原因是如果我尝试将“fixed.avg.yield.diff”转换为 data.frame，它的结构如下：

 > data.frame(fixed.avg.yield.diff)
              fixed.avg.yield.diff
    VENEZUELA         0.0037480080
    PERU              0.0004009513
    COLOMBIA          0.0034571043
    MEXICO           -0.0014477117
    BRAZIL            0.0280813115
    ARGENTINA         0.0006466359
    CHILE            -0.0000884484
4

1 回答 1

0

像这样的东西？？

outer(unlist(df),unlist(df2),"+")
#       c1 c2 c3 c4
# val11 11 12 13 14
# val12 12 13 14 15
# val13 13 14 15 16
# val14 14 15 16 17

使用你的另一个例子，

outer(unlist(h),unlist(fixed.avg.yield.diff),"+")
#              VENEZUELA         PERU    COLOMBIA        MEXICO     BRAZIL    ARGENTINA         CHILE
# MSCILATAM1 0.013618008 0.0102709513 0.013327104  0.0084222883 0.03795131 0.0105166359  0.0097815516
# MSCILATAM2 0.003685143 0.0003380858 0.003394239 -0.0015105772 0.02801845 0.0005837704 -0.0001513139
# MSCILATAM3 0.014098698 0.0107516413 0.013807794  0.0089029783 0.03843200 0.0109973259  0.0102622416
# MSCILATAM4 0.014452328 0.0111052713 0.014161424  0.0092566083 0.03878563 0.0113509559  0.0106158716
# MSCILATAM5 0.008820988 0.0054739313 0.008530084  0.0036252683 0.03315429 0.0057196159  0.0049845316
# MSCILATAM6 0.005234860 0.0018878033 0.004943956  0.0000391403 0.02956816 0.0021334879  0.0013984036
于 2014-12-14T21:42:09.350 回答