Re: [R] seasonal time serie with missing values

I am interested in this issue also. I have some papers concerning this >> and >> > if you want it let me know. >> > >> > Best regards, >> > Clara Cordeiro >> > >> > >> > Joao Santos wrote: >> > > >> > > Hello All,

[R] (no subject)

Hello, I problem is in the format of the date, my time series is like this: 2006070100 1244 6162 2006070101 1221 6060 2006070102 1214 6060 2006070103 1194 5959 2006070104 1182 5858 2006070105 1178

Re: [R] date format conversion problem

ize that the subject was empty. Ben Bolker wrote: > > > > Joao Santos-7 wrote: >> >> Hello, >> >> I problem is in the format of the date, my time series is like this: >> >> [snip] >> >> When I attempt to format the time like this: >>

Re: [R] Data format problem

Max. :2006-07-22 01:00:00 Max. :81 NA's :40 Then I create a time series and the regul fuction (pastecs package) works fine. Thanks again for the replies, Joao Santos Joao Santos wrote: > > Hello, > > > > I problem is in the format of the date, my ti

[R] 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,

[R] seasonal time serie with missing values

Hello All, I trying to find some way to fill in missing values in a seasonal time series. All the function that I find until now, don't have any reference to seasonal data and the output is very different of what I looking for. I also searched the forum but this problem don't have many informatio

Re: [R] Imputing missing values in time series

Hello, I have a similar problem but in my case I have a seasonal time series and the gaps are bigger. Like I said the TS as a seasonality to the week and some gaps are so big that seasonality is broken. I need a process to predict this values and keep the seasonality. From the search that I mad

Re: [R] Help me please...Large execution time in auto.arima() function

ationary = FALSE, ic = c("aic","aicc", "bic"), stepwise=TRUE, trace=TRUE) Sorry for the SPAM!! João Santos Joao Santos wrote: > > Hello, > > I using the fuction auto.arima() from package forecast to predict the > values of p,d,q

[R] 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 compute

Re: [R] Execution time very high in linux

= FALSE, ic = c("aic","aicc", "bic"), stepwise=FALSE, trace=TRUE)) user system elapsed 38389.75 3786.29 22849.73 There is some optimization that could be done? Thanks in advance for the replies!!! João Santos Joao Santos wrote: > > Hello

Re: [R] slowness of auto.arima() from package forecast (was Execution time very high in linux)

d talk directly to the maintainer (who may well not read this > list). > > I've altered the subject line to something less inappropriate. > > On Fri, 9 Nov 2007, Joao Santos wrote: > >> >> Hello All, >> >> Sorry everybody for another message on

Re: [R] slowness of auto.arima() from package forecast (was Execution time very high in linux)

the address of the package maintainer (nor of the person > who wrote to you), nor is that a reproducible example (we don't have > my_file.dat). Please DO study the posting guide! > > On Fri, 9 Nov 2007, Joao Santos wrote: > >> >> Hello, >> >> EXAMPL

Re: [R] slowness of auto.arima() from package forecast (was Execution time very high in linux)

Hello Bernardo, Thanks for replying but I think that you miss a small detail, my frequency isn't 1 but 168 and it looks like this is the bottleneck. João Santos Bernardo Rangel tura wrote: > > > On Fri, 2007-11-09 at 06:58 -0800, Joao Santos wrote: >> Hello, >&g