similar to: Questions about regression with time-series

Hi all, In sip.conf: [general] regcontext = autoreg [devabc] regexten = 543 creates "exten=> 543,1,Noop(devabc)" in context autoreg when devabc registers. But I can't use "exten=> _5XX,2,Dial(SIP/${EXTEN})" in the dialplan, because there's no device SIP/543. Now I know I can add a line like "exten=> 543,2,Dial(SIP/devabc)" for each and

Hola:   Tengo una lista de 2 elementos, cada uno de los cuales contiene información relativa a un sujeto (Pablo y Carlos).   lSujetos <- list() lSujetos[[1]] <- list(nomfich="Pablo", colTime=5, colVars=c(6,7,8)) lSujetos[[2]] <- list(nomfich="Carlos", colTime=5, colVars=c(6,7,8)) A continuación, leo las series temporales correspondientes a cada individuo. En este caso

Can anyone help with the use of regexten? (* 1.4.3) I've got Asterisk creating extensions for my SIP phones using regexten but I can't seem to figure out how to make use of them once they're registered. Here's my dialplan for from-sip (the SIP's default context): asterisk*CLI> dialplan show from-sip [ Context 'from-sip' created by 'pbx_config' ]

Hello, Does anybody know if the function arima with an external regressor (xreg) applies the auto correlation on the dependant variable or on the residuals. In comparison with SAS (proc autoreg), it seems that the auto correlation applies on the residuals but i'd like to have the confirmation. I want to estimate: Y[t] = a[1]*X[t] + a[2] + E[t] with E[t]=b[1]*E[t-1] Should I use : arima(Y,

Hola, qué tal? Reenvío mi pregunta, por si no llegó... Gracias. Un saludo. --- El jue, 8/3/12, Ana Pérez V. <anapv78@yahoo.es> escribió: De: Ana Pérez V. <anapv78@yahoo.es> Asunto: Re: [R-es] Buscando la solución más eficiente para generar resultados a partir de un list Para: "Carlos J. Gil Bellosta" <cgb@datanalytics.com> CC: "r-help-es@r-project.org"

Hola a todos, a<-c(1,2,3,4,5) b<-c(1.3,2.4,5,6,8) etiquetas<-c("etiq1","etiq2","etiq3","etiq4","etiq5") c<-rbind(a,b) Me gustaría hacer un gráfico en el que se represente en el eje Y las series a y b que están unidas en c y en el eje X las etiquetas ¿cómo se podría hacer? Espero haberme explicado. Sería el equivalente a la figura de

I have done a hearty search and so far and I have not been able to find the answer to my question. For a model with auto-correlated errors, when you run GLS or ARIMA and fit() or predict(), you get the unconditional fitted values, as opposed to the conditional or dynamic values. Or in other words, the correlation structure of the error is omitted. Most stat packages provide this as far as I know

Processing commands for control at bugs.debian.org: > # bugs with submitter debian at abeckmann.de > submitter 479445 ! Bug #479445 [gnuplot] gnuplot: wrong line numbers for missing files reported during replot Changed Bug submitter to 'Andreas Beckmann <anbe at debian.org>' from 'Andreas Beckmann <debian at abeckmann.de>' > submitter 681568 ! Bug #681568