Hi,

I have a list of 40 data.frames.

I would like to identify duplicated entries in the whole list, not only in
one specific data.frame, but in all 40.

Here is my list:

> myList
[[1]]
            X        NAME  MEM.SHIP
1 FBgn0000008 FBgn0000008 0.9304502
2 FBgn0000014 FBgn0000014 1.0000000
3 FBgn0000028 FBgn0000028 1.0000000
4 FBgn0000109 FBgn0000109 1.0000000
5 FBgn0000114 FBgn0000114 0.4839886
6 FBgn0000120 FBgn0000120 1.0000000

[[2]]
            X        NAME  MEM.SHIP
1 FBgn0000251 FBgn0000251 0.3138650
2 FBgn0001168 FBgn0001168 0.8995011
3 FBgn0001941 FBgn0001941 0.7485548
4 FBgn0003053 FBgn0000028 0.4426997
5 FBgn0003159 FBgn0003159 0.4843226
6 FBgn0000120 FBgn0003162 0.6556290


I would like to know whether there are duplicated entries in the first
and/or second column of all. In this list I have two duplications one is
FBgn0000120 in both lines Nr. 6 and the second is FBgn0000028 in line 3 and
line 4 in df1 and df2 respectively.


Is there a way to do it. With unique I don't get any results. and I cannot
convert the list into a data.frame, as the number of items in each df is
different.

Thanks
Assa

	[[alternative HTML version deleted]]

