Dear All, I have 2 time-series data sets and would like to check the cross correlation. These data sets were set as a zoo object, called data, and in general look like:
V1 V2 2007-01-01 00:00:00 0.0 0.176083 2007-01-01 01:00:00 0.0 0.176417 2007-01-01 02:00:00 0.0 0.175833 2007-01-01 03:00:00 0.0 0.175833 2007-01-01 04:00:00 0.3 0.176000 2007-01-01 05:00:00 1.8 0.176250 2007-01-01 06:00:00 2.0 0.177583 2007-01-01 07:00:00 0.2 0.178333 2007-01-01 08:00:00 0.3 0.178167 2007-01-01 09:00:00 3.2 0.178417 When I applied the ccf method, ccf(data$V1, data$V2), I noticed the lag is every 3600 which is a little surprising to me. I was thinking the lag should be 1, but it seems the lag unit becomes 3600. I guess the number 3600 representing 3600 "seconds" because of the zoo object. I am not sure if I'm right and would like someone here could certify this (or not). Besides, does anyone know any default argument to adjust the 3600 into 1 while plotting? The only idea I have is to divide the lag manually by 3600 and then plot it later. Regards, Keith ______________________________________________ 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.