search for: tsnames

...ull(l) || (l <= 0) || (l > n))) stop("Invalid value of l") st <- start(tseries) freq <- frequency(tseries) - un <- units(tseries) - k.un <- attr(tseries, "tspar")$k.units +# un <- units(tseries) +# k.un <- attr(tseries, "tspar")$k.units tsnames <- names(tseries) if (sim == "geom") endcorr <- T if (sim == "scramble") { # Phase scrambling for (r in 1:R) { ts.b <- scramble(tseries,norm) - t <- rbind(t, statistic(ts.b, ...)) + tmp <- statistic(ts.b, ...) # change, A.Trapl...

...ull(l) || (l <= 0) || (l > n))) stop("Invalid value of l") st <- start(tseries) freq <- frequency(tseries) - un <- units(tseries) - k.un <- attr(tseries, "tspar")$k.units +# un <- units(tseries) +# k.un <- attr(tseries, "tspar")$k.units tsnames <- names(tseries) if (sim == "geom") endcorr <- T if (sim == "scramble") { # Phase scrambling for (r in 1:R) { ts.b <- scramble(tseries,norm) - t <- rbind(t, statistic(ts.b, ...)) + tmp <- statistic(ts.b, ...) # change, A.Trapl...

Alguien me podría sugerir un paquete en R para generar pronóticos con modelos robusto de series de tiempo.   Saludos Enrique RAMOS [[alternative HTML version deleted]]

este ha sido bastante bueno f52<-scan("f52.txt") sb<-f52[1:200]; sp<-f52[201:245]; sb.ts <- ts(sb, start=c(2008, 1), frequency=52) sb.ts # is important to see the end of this time series. sp.ts<- ts(sp, start=c(2011, 45), frequency=52) plot(sb.ts,ylab="No. focos") # Main function predAll<-function(x,h,tsname){ # INPUTS: # x: time serie # h:

Running the functional tests has deleted the data in my production database!!! please help!! Using rails 1.1.1 + Oracle. This is my database.yml file : development: adapter: oci host: "V2:1521/TIM" username: salt password: oracle1 test: adapter: oci host: "V2:1521/TIM" username: rectest password: oracletest production: adapter: oci host: