On Jun 28, 2011, at 6:18 AM, Michael Pearmain wrote:
Hi All,
I'm having a few problems using match and a lookup table, previous
Googling
show numerous solutions to matching a lookup table to a dataset,
My situation is slightly different as i have multiple lookup tables,
(that i
cannot merge - for integrity reasons) that i wish to match against
my data,
and each of these files is large, so lots of for / if conditions are
not
ideal. (withstanding that i have multiple files of course)
For example,
I have data:
v <- c("foo", "foo", "bar", "bar", "baz")
id <- c(1,2)
id2 <- c(3)
name <- c("foo", "bar")
name2 <- c("baz")
df1 <- data.frame(id, name)
df2 <- data.frame(id2, name2)
v <- df1$id[match(v,df1$name)]
v
[1] 1 1 2 2 NA
A numeric vector.
So here i actually want to return
v
[1] 1 1 2 2 "baz"
Not possibly a numeric vector.
so next time i can run
v <- df2$id[match(v,df2$name)]
and return:
v
[1] 1 1 2 2 3
You need to keep track of the successful matches in df1 and then ypu
probably want to interleave them with matches in df2. Perhaps instead
use ifelse to do the work for you:
> ifelse(!is.na(match(v,df1$name)), match(v,df1$name),
match(v,df2$name2) )
[1] 1 1 2 2 1
Any help very much appreciated
Mike
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