Hi:
It's impolite on this list to hijack a thread to ask your own question.
Please start a new thread in the future if you have a question of your own.
Re your question, try this:
Data1$Daily <- with(Data1, PL_Pos - Costs)
Data1Sum <- aggregate(Daily ~ EnDate, FUN = sum)
# Merge the two data frames
merge(Result1, Data1Sum, by.x = 'TradeDates', by.y = 'EnDate', all.x =
TRUE))
If this is the result you wanted, save it as Result1. If you don't want the
NAs, remove the all.x = TRUE part in the merge() call.
HTH,
Dennis
On Fri, Jan 7, 2011 at 10:21 AM, Mark Knecht <markkne...@gmail.com> wrote:
> On Fri, Jan 7, 2011 at 8:42 AM, Henrique Dallazuanna <www...@gmail.com>
> wrote:
> > Try this:
> >
> > rowSums(rowsum(t(m), rep(1:3, c(2, 2, 1)), na.rm = TRUE))
> >
> >
> > On Fri, Jan 7, 2011 at 2:29 PM, emj83 <stp08...@shef.ac.uk> wrote:
> >
> >>
> >> Hi,
> >>
> >> I would like to sum some specific columns in my matrix- for example, my
> >> matrix looks like this:
> >> [,1] [,2] [,3] [,4] [,5]
> >> [1,] 1 NA NA NA NA
> >> [2,] 2 1 NA 1 NA
> >> [3,] 3 2 1 2 1
> >> [4,] 4 3 2 3 2
> >> [5,] NA NA NA 4 3
> >> [6,] NA NA NA 5 NA
> >>
> >> I would like to find the sum of the first two columns, the second two
> >> columns and the last column:
> >> i.e I am left with a vector of c(16, 18, 6).
>
> Can you help me extend this example?
>
> I'd like to get (PL_Pos - Costs) for each row in Data1, sum those
> results for each matching date in Result1, and put the result in a new
> column in Result1 called 'Daily'.
>
> Been messing with this for an hour now. Nothing comes close.
>
> Thanks,
> Mark
>
>
> Result1 = structure(list(TradeDates = structure(c(14249, 14250, 14251,
> 14252, 14253, 14256, 14257, 14258, 14259, 14260, 14263, 14264
> ), class = "Date")), .Names = "TradeDates", row.names = c(NA,
> 12L), class = "data.frame")
>
> Data1 = structure(list(Trade = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
> 13, 14, 15, 16, 17, 18, 19, 20, 21, 22), PosType = c(1, 1, -1,
> -1, -1, -1, -1, 1, -1, -1, -1, 1, 1, -1, -1, 1, 1, -1, 1, 1,
> 1, -1), EnDate = structure(c(14249, 14250, 14251, 14253, 14256,
> 14256, 14256, 14257, 14258, 14258, 14259, 14259, 14260, 14264,
> 14264, 14265, 14266, 14267, 14270, 14271, 14273, 14274), class = "Date"),
> EnTime = c(1406, 1318, 838, 846, 846, 1038, 1102, 918, 838,
> 950, 1134, 1254, 1110, 846, 1318, 854, 950, 838, 1246, 838,
> 854, 902), ExDate = structure(c(14249, 14250, 14251, 14253,
> 14256, 14256, 14256, 14257, 14258, 14258, 14259, 14259, 14260,
> 14264, 14264, 14265, 14266, 14267, 14270, 14271, 14273, 14274
> ), class = "Date"), ExTime = c(1515, 1515, 1030, 942, 1030,
> 1046, 1110, 1515, 942, 1030, 1142, 1515, 1515, 1030, 1326,
> 1515, 1515, 1030, 1515, 1515, 1515, 1022), PL_Pos = c(133.5,
> -41.5, 171, 483.5, 333.5, -29, -54, -291.5, 596, -141.5,
> -54, 558.5, 533.5, 521, -41.5, 883.5, 358.5, -979, -191.5,
> 196, -791.5, 446), Costs = c(29, 29, 29, 29, 29, 29, 29,
> 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29
> ), PL = c(104.5, -70.5, 142, 454.5, 304.5, -58, -83, -320.5,
> 567, -170.5, -83, 529.5, 504.5, 492, -70.5, 854.5, 329.5,
> -1008, -220.5, 167, -820.5, 417)), .Names = c("Trade", "PosType",
> "EnDate", "EnTime", "ExDate", "ExTime", "PL_Pos", "Costs", "PL"
> ), row.names = c(NA, 22L), class = "data.frame")
>
> Result1
> Data1
>
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