I need an outer join of ffdf dataframes saved in a list. Have checked this, but it refers to a different problem. Example code for RAM objects:

x1 = data.frame(name='a1', Ai=2, Ac=1, Bi=1)
x2 = data.frame(name='a2', Ai=1, Bi=3, Bc=1, Ci=1)
x3 = data.frame(name='a3', Ai=3, Ac=2, Bi=2, Ci=3, Cc=1, Di=2, Dc=2)
x4 = data.frame(name='a4', Ai=3, Bi=2, Ci=1, Fi=2)
dl = list(x1,x2,x3,x4)
mergedDF = Reduce(function(...) merge(..., all=T), dl)
mergedDF[is.na(merged.data.frame)] = 0

Desired result looks like:

mergedDF
  name Ai Bi Ci Ac Bc Cc Di Dc Fi
1   a1  2  1  0  1  0  0  0  0  0
2   a2  1  3  1  0  1  0  0  0  0
3   a3  3  2  3  2  0  1  2  2  0
4   a4  3  2  1  0  0  0  0  0  2

As long as I turn the data frames to ffdf though, I get the error

Error in merge.ffdf(..., all = T) : merge.ffdf only allows inner joins

Any known workrounds? Many thanks in advance.

有帮助吗?

解决方案

This post helped me Combine two data frames by rows (rbind) when they have different sets of columns. So to do a similar thing with yours:

   install.packages('plyr')
   require(plyr)
   answer <- Reduce(rbind.fill,dl)
   answer[is.na(answer)] <- 0
   answer

  name Ai Ac Bi Bc Ci Cc Di Dc Fi
1   a1  2  1  1  0  0  0  0  0  0
2   a2  1  0  3  1  1  0  0  0  0
3   a3  3  2  2  0  3  1  2  2  0
4   a4  3  0  2  0  1  0  0  0  2

BTW nice thought with Reduce, that's a nifty little function that rarely (at least for me) gets used.

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