search for: regts

I create a zooreg object that runs from Jan-1-2002 0:00 to Jun-1-2005 0:00... regts.start = ISOdatetime(2002, 1, 1, hour=0, min=0, sec=0, tz="") regts.end = ISOdatetime(2005, 6, 1, hour=0, min=0, sec=0, tz="") regts.zoo <- zooreg( NA, regts.start, regts.end, deltat=3600 ) Upon inspection: > regts.zoo[1:3] 2002-01-01 00:00:00 2002-01-01 01:00:00 2002-01-...

Hello All, I trying to use the function auto.arima(....) from package forecast but I have a problem. My steps after I used the function auto.arima(...) I create the time series like this: >bbrass = scan("C:/Program Files/R/data PTIN/my_file.dat") >regts.start = ISOdatetime(2006, 7, 1, hour=0, min=0, sec=0, tz="GMT") #2006 07 01 00 >regts.end = ISOdatetime(2006, 7, 22, hour=2, min=0, sec=0, tz="GMT") #2006 07 22 02 >regts.zoo <- zooreg(bbrass, regts.start, regts.end, deltat=3600) >regts.hour <- zoo(coredata(regts...

Thanks for everyone's help with zoo -- I think I've got my data set ready. (The data consists of surface weather temperatures, from 2002 to 2005, one observation per hour. Some values are missing... i.e. NA) I have three goals: GOAL #1:Get the data in proper time series form, preserving frequency information: > w4.ts <- as.ts( w3.zoo, frequency=(1/3600) ) I hope that 1/3600

...if(file.exists(fn)) { clim.dat <- read.csv(fn, header=F) names(clim.dat) <- c("cdata") year.start <- ym.table$yearstart year.end <- ym.table$yearend mo.start <- ym.table$monthstart mo.end <- ym.table$monthend regts.start = ISOdatetime(year.start, mo.start, 1, hour=0, min=0, sec=0, tz="GMT") regts.end = ISOdatetime(year.end, mo.end, 1, hour=18, min=0, sec=0, tz="GMT") zts <- zooreg(clim.dat$cdata, start = regts.start, end = regts.end, frequency = 4, deltat = 21600)...

Hello, I problem is in the format of the date, my time series is like this: 2006070100 1244 61 62 2006070101 1221 60 60 2006070102 1214 60 60 2006070103 1194 59 59 2006070104 1182 58 58 2006070105 1178 58 58 2006070106 1176 58 58 2006070107 1173 58 58

...,D,Q. My problem is the execution time of this function, for example, a time series with 2323 values with seasonality to the week take over 8 hours to execute all the possibilities. I using a computer with Windows XP, a processor Intel Core2 Duo T7300 and 2Gb of RAM. fit_2323v_168f<-auto.arima(regts.ts, d = 1, D = 1, max.p = 2, max.q = 2, max.P = 1, max.Q = 1, max.order = 5, start.p=0, start.q=0, start.P=0, start.Q=0, stationary = FALSE, ic = c("aic","aicc", "bic"), stepwise=TRUE, trace=TRUE) It is any...

I have a fairly complicated setup. Extensions (1,2 and 3). In 3 - I execute AGI in java which plays few wav files depending on external parameters. Can I have a dial plan inside my AGI? If not, how do I accomodate user who needs to reach extension 2 from my agi? I have tried stream file and get data but the two commands did not work at all.