search for: tramo

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 officially adopted by our National Bureau of Statistics. > Searching in R-help mailing list I didn't find an...

...each procedure. Having attended the useR2004! Conference with the aim of assessing if R ALONE could "glue" all those fragmented and isolated procedures, I'm almost convinced now that YES it could do the job! Now - to start with - a first problem to solve: 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 officially adopted by our National Bureau of Statistics. Searching in R-help mailing list I didn't find anything about a tra...

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...

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 from Rome Vit...

Dear Colleagues would someone know a suitable online-source for information regarding the TRAMO SEATS method for time series ? (an alternative to X12 ARIMA and earlier ARIMAs used by the US census bureau) Cheers -- ----------------------------- Soren Wilkening Principal Consultant phone: +49-30-96080121 wilkening at censix.com CENSIX Consulting Statistics, Surveys, Censuses http://www....

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

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, In...

...- SENAF (2017)' ggplot(tabla.barras, aes(x = Rangos, y = Asistentes, group = Clase2, fill = Clase2)) + geom_col(position = "stack") + geom_text(aes(label = Asistentes), position = position_stack(), vjust = 1, size = 4) + labs(title = "Asistentes por tipo de servicio según tramo de edad." , subtitle = subtit.todos , x = "", y = "Cantidad de asistentes" ) + # , caption = caption) + theme(legend.position = "bottom", legend.direction = "horizontal", legend.title = element_blank()) + guides(fill = guide_lege...

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-

...gplot(tabla.barras, aes(x = Rangos, y = Asistentes, fill = Clase)) + # geom_bar(stat = "identity", position = "stack") + geom_text(aes(label = Asistentes), position = position_stack(), vjust = 1, size = 4) + labs(title = "Asistentes por tipo de servicio según tramo de edad." , subtitle = subtit.todos , x = "", y = "Cantidad de asistentes" , caption = caption) + theme(legend.position = "bottom", legend.direction = "vertical", legend.title = element_blank()) + guides(fill = gui...

...mamarracho Lo tercero que pensé es que no se debe usar ?lines? cuándo tengo factores aleatorios, sin separarlos en varios gráficos. ¿pero si deseo graficar la curva teórica resultante del modelo? Resulta que a partir de la curva del modelo pienso usar integrales para calcular valores bajo ciertos tramos. Pero me desorientan los resultados en rojo, ¿es un error mío al usar lines dentro de plot? ¿que usarían para graficar la línea (curva) sobre los puntos? (aquí puse pocos datos, si uso todos la superposición de puntos no sirve). Ahora lo mismo pero: Con pocos datos la sucesión de puntos crea u...

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

Hello again, In a previous message I request your help, but I don't have been clear in my problem. Specifically, I'm trying to create an interface in R for the X-12-ARIMA and TRAMO SEATS, for the versions that run in MS-DOS. This problem awake in me the interest for make interfaces to comparing some Bayesian models for classification that where implemented in MS-DOS to. The question for you is if you know about the existence of an R function that allows me to run -in Windows-...

Is anyone aware of a way to seasonally adjust time series data using X-12 ARIMA and TRAMO/SEATS from within R? I know that that one can seasonally adjust data with gretl, which I understand offers some level of R integration. However, all the examples I've seen of gretl/R integration involve working interactively with gretl, while here I want to work interactively with R and call gr...

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

Junto con saludar, Quer?a saber si los que han usado boxplot.stats, saben como ubicar los resultados que arroja como "out" (outliers) directamente en la base de datos, ya que, muestra los resultados en valor de cada dato at?pico. Por ejemplo, estoy usando una base de datos con 300 datos y 10 columnas, en este caso estoy buscando los datos at?picos de la columna del precio de x

Hola. Tengo que representar en un mapa, valores de proporciones de extranjeros con tarjetas de residencia en vigor, según nacionalidad y país de procedencia. Los datos son de este estilo Rumania Andalucía 0,200365823 Aragón 0,377192073 Asturias 0,205353012 I. Baleares 0,06592893 Canarias 0,03050312 Cantabria 0,190397393 Castilla-León 0,211670421 Castilla-La Mancha

...(vector[i] < vector[i+1]) ) if (sube | baja ) {pcaso<-TRUE} else {pcaso<-FALSE} # La función cruza el valor de referencia. if (vector[(i-1)] == vector[i]) { # El valor anterior de la función también esta en el valor de cruce, # entonces comprueba como era la función después del tramo horizontal # y como evoluciona después z<-i-1 while (vector[z] == vector[i] & z>1) {z<-z-1} # Retrocedemos hasta el último valor distinto sin pasar # del primer valor de la función. menor<-FALSE mayor<-FALSE if (vector[z] < vector[i]) { menor<-TRUE }...