Dear prospective reader,
I apologize for posting my problem but I've just no idea how to go on by
processing this huge (over 70 MB) dataset. Thank you in advance for any help
or comment! I do appreciate it!
My textfile contains 1 column of interest (numbers/values only). The overall
issue is to extract 'events', starting points of which are defined by at
least 24 preceding values being equal to 0. Then, if the 25th value is
greater than 0, this is the start of an event of unknown length (unknown
number of values). And the end of an event again is defined by at least 24
values being equal to 0. I want to subset the single events for the purpose
of examining the maximum value within each event.
I tried:
> xx1 <- read.table(pipe("cut -f2 corrected_data.txt"),header=T)
> nrow(xx1)
[1] 2500000
> start1 <- data.frame(start=rep("NA",length.out=nrow(xx1)))
> stop1 <- data.frame(stop=rep("NA",length.out=nrow(xx1)))
> max.xx1 <- data.frame(max.xx=rep("NA",length.out=nrow(xx1)))
> XXframe <- data.frame(XX=xx1, start=start1, stop=stop1, max.xx=max.xx1)
> attach(XXframe)
> for(i in 1:(nrow(XX)-25)){
+ start[i+24] <- ifelse(XX[i:(i+23)]==0 && XX[i+24]>0, "start", "NA")
+ }
But this doesn't work - and every time I try it again, after changing the
'start' and the 'NA' within 'ifelse', e.g. into integers, a different error
appears (after hours). But this is only to set starts and stops; for the
original issue I further would try to number the starts and then maybe to
subset the single events using subset(). Do you think this could work, or
does anyone know a way to number the events? This would help me a lot!
Thanks again,
Dustin
--
View this message in context:
http://r.789695.n4.nabble.com/Extract-subsets-of-different-and-unknown-lengths-from-huge-dataset-tp3247511p3247511.html
Sent from the R help mailing list archive at Nabble.com.
______________________________________________
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.
