Folks,
Updating values in a table is simple in SAS or SQL, but I've wracked my
brain looking for an elegant solution in R to no avail thus far. Certainly
this is a common need that's been solved in dozens of different ways.
Given an initial dataframe nn and a smaller dataframe of updates uu, I'd
like to replace the values in
nn <- expand.grid('a'=1:4, 'b'=1:3)
nn$x <- runif(nrow(nn))
nn$y <- runif(nrow(nn))
uu <- rbind(data.frame('a'=1, 'b'=1, 'x'=100, 'y'=-100)
,data.frame('a'=2, 'b'=2, 'x'=200, 'y'=-100)
,data.frame('a'=4, 'b'=1, 'x'=400, 'y'=-100)
,data.frame('a'=3, 'b'=3, 'x'=300, 'y'=-100)
)
I'd like the result <- f(nn, uu) to look like
a b x y
1 1 1 100 -100
2 2 1 0.8310890 0.2516533
3 3 1 0.4304501 0.3004313
4 4 1 400 -100
5 1 2 0.9546661 0.2935739
6 2 2 200 -100
7 3 2 0.6941463 0.9356967
8 4 2 0.9642832 0.9253482
9 1 3 0.8735154 0.6055080
10 2 3 0.6665369 0.2938112
11 3 3 300 -100
12 4 3 0.7268327 0.4536969
Anyone spare a clue about what f() might look like?
Thanks,
cur
--
Curt Seeliger, Data Ranger
Raytheon Information Services - Contractor to ORD
seeliger.c...@epa.gov
541/754-4638
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