search for: stockdata

Displaying 4 results from an estimated 4 matches for "stockdata".

2000 Jul 07
1
reorganizing a data frame
Hi, I have what I think is an easy question. I have a data frame, called stockdata, of stock prices that looks like this: date ticker close 1 01/02/1998 GE 24.667 2 01/05/1998 GE 25.104 3 01/06/1998 GE 24.771 4 01/07/1998 GE 24.979 5 01/08/1998 GE 24.750 6 01/02/1998 HIT 71.125 7 01/05/1998 HI...
2011 Mar 12
3
pass character vector in instrument field of get.hist.quote function
...eader=FALSE, sep=",") tickers <- tickers[1] / the tickers are stored in the first column > tickers V1 1 BCSI 2 WBSN 3 NTAP 4 FFIV 5 SU > is.vector(tickers) [1] FALSE > > is.data.frame(tickers) [1] TRUE I tried to do the following without success. stockdata <- data.frame() stockdata <- coredata(get.hist.quote(instruments=tickers, start="2011-01-01", end="2011-01-31", quote=c("Close"), provider="yahoo")) Error in get.hist.quote(instruments = tickers, start = "2011-01-01", end = "2011-01-31&...
2008 Dec 14
1
how to convert factors to numbers
...closing price, volume and adjusted price (i.e., adjusted for dividends and splits). I want to read and manipulate the data in R. However, when I use read.table, it treats all of the data as "factors" and I do not know how to treat the data as numbers: > spy<-read.table("c:\\StockData\\SPY.txt") > attach(spy) > names(spy)<-c("QDate","OpenP","HighP","LowP","CloseP","Vol","AdjP") > spy[1,] QDate OpenP HighP LowP CloseP Vol AdjP 1 12/14/2006, 141.86, 143.24, 141.84, 143.12...
2011 Apr 09
1
How do I make this faster?
...ough parallelisation, or by making changes. I've marked the places where Rprof showed me it was slowing down: currencyCorrelation <- function(lagtime = 1) { require(quantmod) dataTrack <- getSymbols(commandArgs(trailingOnly=T)[1], from='2009-11-21', to='2011-04-03') stockData <- get(dataTrack) currencies <- row.names(oanda.currencies[grep(pattern='oz.', fixed=T, x =as.vector(oanda.currencies$oanda.df.1.length.oanda.df...2....1.)) == F]) correlations <- vector() values <- list() # optimise these loops using the apply family for (i in currenc...