On May 21, 2010, at 9:19 AM, arnaud Gaboury wrote:
Dear group,
Here is my environment :
ls()
[1] "l" "PLglobal" "Pos100415" "Pos100416" "Pos100419"
"Pos100420" "position" "select" "Trad100415" "Trad100416"
"Trad100419" "Trad100420" "trade" "y"
With objects :
l
[1] "100415" "100416" "100419" "100420" "100421" "100422" "100423"
"100426"
"100427" "100428" "100429" "100430" "100503" "100504" "100505"
"100506"
"100507" "100510" "100511" "100512" "100513"
select #is a selection of elements of object "l"
[1] "100415" "100416" "100419" "100420"
"PLglobal", "position", "trade" are all functions
Pos100415,Pos100416,Trad100415...are all data frames
I have one dataframe each day. For example, Pos100415 is "Pos" for day
15/04/2010.
Now I need to access data.frames in my environment for a function,
according
to this following scheme:
Pos100415 and Pos100416 (i.e. Pos(day1) and Pos(day2)), and
Trad100416 (i.e.
trad(day2)).
I have absolutely no idea how to deal with this indexing problem in a
generic manner. Note that all numbers will belong to the list
"select".
Sounds like you need to have one Positions dataframe and one Trades
dataframe rather than leaving them separate. Then you would be
indexing by day and if needed the subset function could parcel out
particular day-defined subsets. I would not use the object name
"select" since it is one of the argument names for subset.
--
David Winsemius, MD
West Hartford, CT
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