Hi,
Try:
R[,2:4]-F[,2:4][match(R$x,F$x),]
R$p- unique(F$p)
R
x y z w k p
1 -1 1 3 8 9 18
2 -2 2 4 9 9 18
3 -3 3 5 10 9 18
4 -1 1 3 8 9 18
5 -2 2 4 9 9 18
6 -3 3 5 10 9 18
7 -1 1 3 8 9 18
8 -2 2 4 9 9 18
9 -3 3 5 10 9 18
10 -1 1 3 8 9 18
11 -2 2 4 9 9 18
12 -3 3 5 10 9 18
13 -1 1 3 8 9 18
14 -2 2 4 9 9 18
15 -3 3 5 10 9 18
A.K.
- Original Message -
From: Lorenzo Isella lorenzo.ise...@gmail.com
To: r-h...@stat.math.ethz.ch r-h...@stat.math.ethz.ch
Cc:
Sent: Friday, February 8, 2013 3:57 PM
Subject: [R] Merging and Updating Data Frames with Unequal Size
Dear All,
I am trying to merge 2 dataframes of with different sizes.
Let's say that one dataframe R contains some raw data and another data frame F
contains the information to fix R.
For instance
F - data.frame(cbind(x=-seq(10),
y=1:10,
z=3:12,
w=8:17,
p=18
))
R - data.frame(cbind(x=rep(-seq(3),5), y=18:32,z=100:86,w=4,k=9))
I would like to do the following: for every value of R$x (i.e. 1,2,3 in this
case), I will look up the same value in
F$x and use the info on that row of F to update the values of R$y, R$z,R$w
(i.e. the raws which have the same names in both data frames), whereas I will
simply append (as a new column) the values of F$p to the new dataframe.
The resulting data frame should look like this
x y z w k p
-1 1 3 8 9 18
-2 2 4 9 9 18
-3 3 5 10 9 18
-1 1 3 8 9 18
-2 2 4 9 9 18
-3 3 5 10 9 18
-1 1 3 8 9 18
-2 2 4 9 9 18
-3 3 5 10 9 18
-1 1 3 8 9 18
-2 2 4 9 9 18
-3 3 5 10 9 18
-1 1 3 8 9 18
-2 2 4 9 9 18
-3 3 5 10 9 18
(it took longer to explain it than to do it!).
I can do this with a double loop, but I think that playing with the merge
command should do the trick, although so far I have been unsuccessful.
Any suggestion is welcome.
Lorenzo
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.