Displaying 7 results from an estimated 7 matches for "regt".
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2005 Aug 27
2
zoo, zooreg, & ISOdatetime
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...
2007 Oct 24
0
Package forecast
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(regt...
2005 Aug 27
1
ARIMA (seasonal) backcasting & interpolation
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
2011 Feb 16
1
Timeseries Data Plotted as Monthly Boxplots
...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)...
2007 Oct 10
3
(no subject)
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
2007 Nov 08
1
Help me please...Large execution time in auto.arima() function
...,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...
2007 Feb 08
2
problem with asterisk AGI
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.