On 15.07.2011 19:01, ScottM wrote:
Hello all, I'm relatively new to "R" and programming in general - I had previously used MatLab, but decided to make the transition to R, as the computational times are much better! Anyway, I'm trying to use R to run a gamma distribution model to estimate mean transit times of water moving through a hydrological catchment. My input are 3 .txt format files as follow: Precipitation_18o: 2 columns - column 1 is a date (Excel number format) and column 2 is an isotope ratio (i.e. -8.12) Runoff_18o: same as above Daily_Precip: 2 columns - column 1 is the same date format but column 2 is a weekly bulk precipitation value (i.e. 10mm) When running the script, I keep getting the following error message: Error in data.frame(cQ.ou[ind.mea], cQ[cal.cQ:nrow(cQ), 2]) : arguments imply differing number of rows: 42, 44
We do not have your data and hence cannot say, but the error message is probbaly right that cQ.ou[ind.mea] and cQ[cal.cQ:nrow(cQ), 2] do not have the same number of elements.
Uwe Ligges
Now, I know it's not the script, as it run perfectly for one site, but not the other, but having read previous threads on other forums, it suggests that there aren't the same number of values in all 3 input files. A quick use of the str(FILENAME) quickly confirms that all 3 input files have 322 entries with 2 variables. I'd be grateful of ANY help, as this is really hampering my research progress right now! Cheers, Scott_M -- View this message in context: http://r.789695.n4.nabble.com/Error-Message-Help-Differing-Number-of-Rows-tp3670451p3670451.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.
______________________________________________ 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.
