I would like to make the following faster: df <- NULL for(i in 1:length(s)) { df <- rbind(df, cbind(names(s[i]), time(s[[i]]$series), as.vector(s[[i]]$series), s[[i]]$category)) } names(df) <- c("name", "time", "value", "category") return(df)
The s object is a list of lists. It is constructed like: s[["object"]] <- list(. . . . . .) where "object" would be the name associated with this list s[[i]]$series is a 'ts' object and s[[i]]$category is a name. Constructing this list is reasonably fast but to do some more processing on the data it would be easier if it were converted to a data frame. Right now the above code is unacceptably slow at converting this list of lists to a data frame. Any suggestions on how to optimize this are welcome. Thank you. Kevin [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.