Dear R users,
I'm working with 2 data sets which look like (for example) dx and dy in the
next code:
# Seed
set.seed(4)
# First data frame
dx=matrix(rnorm(6*5),ncol=6)
colnames(dx)=LETTERS[1:6]
# Second data frame
dy=matrix(rnorm(3*5),ncol=3)
colnames(dy)=c('A','C','E')
As you will notice, some columns in both data sets have the same names. At
the end, what I need is something like:
> res
A B C D E F
[1,] 0.1534642 0 -0.4045198 0 1.3437086 0
[2,] 1.0519326 0 -0.2274054 0 0.1815354 0
[3,] -0.7542112 0 0.9340962 0 1.2925123 0
[4,] -1.4821891 0 -0.4658959 0 -1.6880486 0
[5,] 0.8611319 0 -0.6375435 0 -0.8209936 0
where columns "A", "C" and "E" are the dy columns and columns "B" and "D"
are zeros because, when we compare dx and dy, they are not present. Any
suggestion would be greatly appreciated.
Thanks in advance,
Jorge
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