R community, I am trying to write a code that fills in data gaps in a time series. I have no R or statistics background at all but the use of R is proving to be a large portion of my PhD research.
So far my code identifies where and the number of new entries required but I do not know how to add additional rows or columns into an array. Any advice on how this can be done? Here is an example: H [0.88 0.72 0.89 0.93 1.23 0.86] T [7.14 7.14 7.49 8.14 7.14 7.32] O [0 0 0 2 0 0] This says that in order to complete the data set 2 entries are required prior to H[4] and T[4] i.e. where O = 2. Thanks, Doug -- View this message in context: http://r.789695.n4.nabble.com/Data-Gaps-tp2993317p2993317.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.