similar to: Package forecast

Displaying 6 results from an estimated 6 matches similar to: "Package forecast"

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 2002-01-01 02:00:00
2011 Feb 16
1
Timeseries Data Plotted as Monthly Boxplots
Hello, I'm trying to develop a box plot of time series data to look at the range in the data values over the entire period of record. My data initially starts out as a list of hourly data, and then I've been using this code to make this data into the final ts array. # Read in the station list stn.list <- read.csv("/home/kbennett/fews/stnlist3", as.is=T, header=F) # Read in
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
Hello, I using the fuction auto.arima() from package forecast to predict the values of p,d,q and P,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.
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
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.