similar to: TRAMO-SEATS methodology

Dear R People: When looking at the previous postings regarding TRAMO-SEATS, I am somewhat puzzled. Is it true that we CANNOT replicate TRAMO-SEATS because of licensing or ownership issues, please? If not, would anyone be interested in an R version of it, please? Thanks, Sincerely, Erin Hodgess Associate Professor Department of Computer and Mathematical Sciences University of Houston -

Dear all the regular XML package does not work correctly with the R 2.0.1 windows version. Can anybody indicate a suitable alternative ? I need to dynamically read, parse and process a HTML table in R that is available at a certain url. Regards Soren Wilkening -- CENSIX Consulting wilkening at censix.com http://www.censix.com

On Mon, 24 May 2004 12:00:46 +0200 v.demartino2@virgilio.it wrote: > Working - among other things- in the field of (short & long term) electricity > forecast, * * * > we have to comply with the Tramo-seats closed-source procedure (http://www.bde.es/informes/be/docs/dt0014e.pdf) > to deal with seasonality of electricity monthly time-series, in line with > the methodology

Working - among other things- in the field of (short & long term) electricity forecast, we are now using too many & too expensive pieces of licensed software: SAS, SPSS, EViews. This "sedimentation" is due to the fact that my predecessors in the past used different consultant companies to manage each procedure. Having attended the useR2004! Conference with the aim of assessing

I have a Mac OS X system. To deal with a long monthly electricity demand time-series I use the procedures TRAMO/SEATS with the MS-windows only Demetra programme and X12 under R resorting to the awkward - as far as the output is concerned - x12 R package running the relating Fortran code. I wonder if someone out there has attempted to translate TRAMO/SEATS and X12 into R native language? Ciao

Hi All In the past I have worked with parallel processing in R where a function F is applied to the elements of a list L. The more cpu cores one has, the faster the process will run. At the time of launching the process for (F,L) I will have a certain fixed number of cpu's that I can use. I have tested this approach and it works fine (i.e. package 'multicore' , using 'mapply'

Are any seasonal adjustment programs, like Tramo/Seats, Census X12 ARIMA or Berliner Verfahren implemented in R? I am doing a simulation study and I don't know how to adjust the series in R. The possibility to access external the exe.files of the seasonal adjustment programs seems to be quite difficult. Can anyone help me? Thanks, Ingo

Hello R users, Can someone tell if there is a package in R that can do outlier detection that give outputs simiilar to what I got from SAS below. Many thanks in advance for any help! Outlier Details Approx Chi-

Hola, Mira la versión de ggplot2 que estás usando por tenerla actualizada a la última... A mi me funciona introduciendo algún cambio salvo la última línea cuando cambias el tema... #----------- Lines <- " id Rangos Clase Asistentes 1 45d EPI 405 2 1a EPI 812 3 2a EPI 1639 4 3a EPI 2202 5 4a EPI 1994 6 5a EPI

?? Hola. Estoy intentando ordenar el gráfico tal que las columnas se apilen en el siguiente orden: debajo, los EPI; los SemiEPI en el medio y los NoEpi arriba de todo. Estos son mis datos: > tabla.barras Rangos Clase Asistentes 1 De 45d EPI 405 2 De 1a EPI 812 3 De 2a EPI 1639 4 De 3a EPI 2202 5 De 4a EPI 1994 6 De 5a EPI

Buenas, Estoy intentando caracterizar una curva de 180 puntos y sacar su vector de caracteristica: Punto de inicio, Máximo Minimo .... Para ello tengo un dataframe con las distintas curvas, de la forma siguiente: segundos valor curva 1 170 1 2 175 1 ...................................... 180 125 1 1

Hello all, I'm working with different models that where implemented in DOS system each one, but for doing comparisons between them I require to put some of the results in an unified data form for all the models. I wonder if some of you have the knowledge of one function in R that enable me the invocation of DOS execution files inside the R application to allow me doing an R interface with

Buenas noches.Soy principiante de R, necesito por favor detectar outliers en una serie de tiempo. Muchas gracias [[alternative HTML version deleted]]

Dear developers, Upon CRAN submission I have bumped into "future file timestamps" warning that I can't solve. I have updated the package as usual, and all checks go through in my system. CRAN reports the following warning however. * checking for future file timestanps ... WARNING Files with future time stamps: DESCRIPTION NAMESPACE README.md The build log is at

Time stamps are correct and my system time is correct. I am now tried to use Sys.setFileTime() to update time stamps as proposed. This does not help. The windows and debian builds give different reports on the time stamp issue. https://win-builder.r-project.org/incoming_pretest/eurostat_3.2.8_20180920_122655/Windows/00check.log

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Hello R-experts, I wonder whether any of the R-packages cover the Hilbert-Huang Transform methodology (HHT)? Regards, Torbjorn -- Torbj?rn Lorentzen | torbjorn.lorentzen at bjerknes.uib.no |torbjorn.lorentzen at uni.no | http://www.bjerknes.uib.no/ Phone: +47 55 58 25 05 | Cellphone: +47 906 972 36 | Bjerknes Centre for Climate Research | Geophysical Institute | University of Bergen |

Dear all, I am attempting to use RSM in order to optimise the analysis of volatile compounds. After changing two variables and performing a series of measurements, I get the following: X1 X2 resp 1 -0.8 -1.0 1101039 2 -0.8 0.0 809947 3 -0.8 1.0 814664 4 0.0 -1.4 759484 5 0.0 0.0 665916 6 0.0 0.0 654054 7 0.0 0.0 641134 8 0.0 0.0 673143 9 0.0 0.0

Representative small sample of data: algorithmID <- factor(c(rep('alg1',4),rep('alg2',4),rep('alg3',4))) threshold <- factor(rep(c(.45,.50,.55,.60),times=3)) score <- c(30,32,31,30,10,12,13,14,22,21,20,24) d <- data.frame(algorithmID,threshold,score) AlgorithmID is the name of each algorithm; threshold is the value of a parameter used by the algorithm that

What kind of call center: inbound, outbound or both? how many lines per agent will you have? what kind of trunks will you be using? do you need to tie into an existing database? do you want screen-pops? MATT--- -----Original Message----- From: Zeeshan [mailto:ztahir@gmail.com] Sent: Tuesday, August 02, 2005 7:27 AM To: Asterisk Users Mailing List - Non-Commercial Discussion Subject: