See if this illustration using the %in% operator within subset() is
helpful:
> df1 <- data.frame(x=1:10, y=sample(c("a","b","c"), 10,
replace=TRUE) )
> uniques <- list("a","b")
>
> Test1 <- subset(df1, y %in% uniques)
> Test1
x y
1 1 b
4 4 a
5 5 b
6 6 b
7 7 a
9 9 a
Next question of course is whether you were using the word "list" in
an r-specific fashion? Fortunately, I think %in% will also work with
vector input.
You might not want to make 50 Test<n>'s. That would be very much
against the spirit of R. Provide a simpler example involving 3 or 4
lists and someone might step up and solve it. Of course, I may have
given you a one step solution if you were thinking that uniques[[1]]
was a single number.
Might be best to name your dataframe something other than df which is
also valid function name for the density of the F distribution.
--
David Winsemius
On Feb 8, 2009, at 8:00 PM, glenn wrote:
Help with this much appreciated
I have a large dataframe that I would like to subset where the
constraint
Test1 <- subset(df, date == uniques[[1]]), where uniques is a list
of dates
that must be matched to create Test1.
I would like to perform an operation on Test1 that results in a single
column of data. So far so good.
How do loop through all values in the uniques list (say there is 50),
perform an operationon Test1,,,,Test50, and then bolt all the lists
together
in a single list please ?
Regards
Glenn
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