如何将一个数据框的行添加到另一个的列中

Question

我有2个数据框。 一个是称为euro_adj的空数据框：

 flow country year frequency currency percentage notes
1   NA      NA   NA        NA       NA         NA    NA

另外一个叫做to_add的我想“附加”到这个空的数据框中。 第一行是EUR，第二行是USD。

1999 2000 2001 2002 
 NA   NA 89.08  NA
 NA   NA  60.2  NA

最终我想要这个最终的df：

flow   country year frequency currency percentage notes
Export Austria 1999   Annual     EUR       NA         NA   
Export Austria 2000   Annual     EUR       NA         NA 
Export Austria 2001   Annual     EUR       89.08      NA 
Export Austria 2002   Annual     EUR       NA         NA 
Export Austria 1999   Annual     USD       NA         NA 
Export Austria 2000   Annual     USD       NA         NA 
Export Austria 2001   Annual     USD      60.2        NA
Export Austria 2002   Annual     USD       NA         NA  

我试过了

  to_add_transpose = as.data.frame(t(to_add))
  colnames(to_add_transpose) = c("EUR", "USD")
  euro_adj$country = rep("Austria", ncol(to_add)*2)
  euro_adj&flow = rep("Exports", ncol(to_add)*2)
  euro_adj$year = rep(1999:2012, 2)
  euro_adj$frequency = rep("Annual", ncol(to_add)*2)
  euro_adj$percentage = c(to_add_trasnpose$EUR, to_add_transpose$USD)

但是它没有用，因为空数据框现在只有1行。 我认为我必须使用rbind之类的东西，但我不知道如何使用。

Answer 1

如果我的理解是正确的，你可以使用函数“聚集（）”的tidyr等使用within()的功能base 。

检查它是否解决了您的问题：

library(dplyr)
library(tidyr)



# Yours data
to_add = data.frame(a=c(NA,NA),  
                    b=c(NA,NA), 
                    c=c(89.08,60.2),
                    d=c(NA,NA)
) 
colnames(to_add) = c("1999","2000","2001","2002")

# Creating column of "coin"
to_add["coin"] = c("EUR","USD")


# Just numbers of rows and columns
nr = nrow(to_add)
nc = ncol(to_add)-1

# Transforming data, like "transpose"
to_add = gather(data = to_add,"year","value",1:4)


# build another data frame
euro_adj = data.frame(flow=rep("Exports", nc*nr),
                      country=rep("Austria", nc*nr),
                      year=rep(1999:2002, nr),
                      frequency=rep("Annual", nc*nr),
                      # Set curency by order
                      currency= to_add[order(to_add$coin),"coin"],
                      percentage=NA[1:nc*nr],
                      notes=NA[1:nc*nr]
                      )

# set values

set = to_add[!is.na(to_add$value),c("coin","year","value")]

euro_adj = euro_adj %>% 
            within(percentage[year %in% set$year & currency %in% set$coin] <- set$value)

# Print data frame 
euro_adj

威奇给出：

   flow country year frequency currency percentage notes
Exports Austria 1999    Annual      EUR         NA    NA
Exports Austria 2000    Annual      EUR         NA    NA
Exports Austria 2001    Annual      EUR      89.08    NA
Exports Austria 2002    Annual      EUR         NA    NA
Exports Austria 1999    Annual      USD         NA    NA
Exports Austria 2000    Annual      USD         NA    NA
Exports Austria 2001    Annual      USD      60.20    NA
Exports Austria 2002    Annual      USD         NA    NA