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...IQ database sqlData = sqlQuery(connection, sqlString); sqlData$ActionID might be 1,2,3,4,5,6,....150, 0,0,0,0,0,0,0,....,0,0,0, 301,302,303,304,.....448,449,500,0,0,0...,0,0 and Velocity will have data values along the whole column without these big areas of 0's. Thanks for the help, Robert Forler [[alternative HTML version deleted]]

Hello, Is there a way to find where a script is located within a script? getwd() doesn't do what I want because it depends on where R was called from. I want something like source("randomFile") and within randomFile there is a function called whereAmI() which returns c:\blah\blah2\randomFile.R In perl there is a library called FindBin and $FindBin::Bin has the directory of the file

Hello, I have a simple class that looks like: setClass("statisticInfo", representation( max = "numeric", min = "numeric", beg = "numeric", current = "numeric", avg = "numeric", obs = "vector"

Hello all, I've scoured the RODBC.pdf, but there appears to be no way to set the name of the RODBC connection. This is useful for the DBA's to know that some processes should only run for so long and can be automatically killed. But currently the name is just R. so they aren't sure if the connection can be automatically killed. We are able to set this with our perl ODBC interfaces

Hi everyone, I have the following code that works in data frames taht I would like tow ork in data.tables . However, I'm not really sure how to go about it. I basically have the following names = c("data1", "data2") frame = data.frame(list(key1=as.integer(c(1,2,3,4,5,6)), key2=as.integer(c(1,2,3,2,5,6)),data1 = c(3,3,2,3,5,2), data2= c(3,3,2,3,5,2))) for(i in

Hi, This has bugged me for a bit. First question is how to keep classes with rbind, and second question is how to properly return vecotrs instead of lists after turning an rbind of lists into a data.frame list1=list(a=2, b=as.Date("20090102", format="%Y%m%d")) list2=list(a=2, b=as.Date("20090102", format="%Y%m%d")) rbind(list1, list2) #this loses the

So I have a function that does lapply's for me based on dimension. Currently only works for length(pivotColumns)=2 because I haven't fixed the rbinds. I have two versions. One runs WAYYY faster than the other. And I'm not sure why. Fast Version: fedb.ddplyWrapper2Fast <- function(data, pivotColumns, listNameFunctions, ...){ lapplyFunctionRecurse <- function(cdata, level=1,

Hi, Although my doubt is pretty,as i m not from stats background i am not sure how to proceed on this. Currently i am doing a forecasting.I used ARIMA to forecast and time series was volatile i used garchFit for residuals. How to use the output of Garch to correct the forecasted values from ARIMA. Here is my code: ###delta is the data fit<-arima(delta,order=c(2,,0,1)) fit.res <-