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]]
______________________________________________
[email protected] 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.
