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...'d like to make it faster. So, I'm including my code below, in hopes that somebody will be able to figure out how to make it faster, either through 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....

...with several weather variables (maxitemp, windspeed, rainfall etc), and the response variable (admissions). The dataset is fairly large (1530 observations). I simply want to model the response against a lag of a couple of the explanatory variables, say maxitemp and rainfall. I would like to look at lagtimes of 4 days, i.e. 4 observations. My dataframe is called allengland. I thought I would be able to do something like: model1 <- lm(admissions~lag(maxitemp,4),data=allengland) but when I compare this to a lag of 0 I have exactly the same output, so I am clearly doing something wrong. Coul...

Hi I've to find the correlation of a variable and lag of other variable. My code currently looks like this y= 32 1 45 26 33 55 15 24 31 78 x=51 69 96 67 71 89 61 42 78 24 lagTimes=2 i want to find the correlation between y and Lag(x,1) and Y &Lag(x,2) i'm using loop to find the lag and then finding correlation If there are more variables and need to find the correlation lag with y it takes a lot of time. can anyone help ----- Thanks in Advance Arun...

I would like include the ability for people to rate posts on my site from 1 to 5. I would like to then display the average rating for each post. To compute the average each time is obviously database and cpu intensive. I have been thinking about the best solution. I could certainly use a cache and expire it every x minutes. However, I don''t want to reinvent the wheel. Is there