Hi Chris,
This seems to work on the sample data you provided.
FUN <- function(x) {
x <- xts(as.numeric(x),index(x))
period.apply(x, endpoints(x,"secs"), sum)
}
lapply(split.default(xSym$Size,xSym$Direction), FUN)
Best,
--
Joshua Ulrich | FOSS Trading: www.fosstrading.com
On Sun, Jan 9,
split the data by truncating the time to a second, then process each group.
this will save the subsetting you are doing. also merge the data with direction
and size in the same frame. it looks like you can subset by "buy" to begin
with.
Sent from my iPad
On Jan 9, 2011, at 19:10, rivercode w
Have 40,000 rows of buy/sell trade data and am trying to add up the buys for
each second, the code works but it is very slow. Any suggestions how to
improve the sapply function ?
secEP = endpoints(xSym$Direction, "secs") # vector of last second on an XTS
timeseries object with multiple entries
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